From 968804042e646687e78ed126b82ec7f82013010c Mon Sep 17 00:00:00 2001
From: SpatLyu <lyu.geosocial@gmail.com>
Date: Mon, 7 Oct 2024 02:38:34 +0000
Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20stscl/sd?=
 =?UTF-8?q?sfun@e15884461ba9d5f86b15bc605fad657bbebe7f9a=20=F0=9F=9A=80?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 404.html                            | 2 +-
 authors.html                        | 6 +++---
 index.html                          | 2 +-
 news/index.html                     | 4 ++--
 pkgdown.yml                         | 2 +-
 reference/discretize_vector.html    | 2 +-
 reference/dummy_tbl.html            | 2 +-
 reference/dummy_vec.html            | 2 +-
 reference/fuzzyoverlay.html         | 2 +-
 reference/index.html                | 2 +-
 reference/inverse_distance_swm.html | 2 +-
 reference/moran_test.html           | 2 +-
 reference/normalize_vector.html     | 2 +-
 reference/pipe.html                 | 2 +-
 reference/sf_coordinates.html       | 2 +-
 reference/sf_distance_matrix.html   | 2 +-
 reference/sf_geometry_name.html     | 2 +-
 reference/sf_geometry_type.html     | 2 +-
 reference/sf_utm_proj_wgs84.html    | 2 +-
 reference/sf_voronoi_diagram.html   | 2 +-
 reference/spdep_contiguity_swm.html | 2 +-
 reference/spdep_distance_swm.html   | 2 +-
 reference/spdep_lmtest.html         | 2 +-
 reference/spdep_nb.html             | 2 +-
 reference/spdep_skater.html         | 2 +-
 reference/ssh_test.html             | 2 +-
 reference/standardize_vector.html   | 2 +-
 search.json                         | 2 +-
 28 files changed, 31 insertions(+), 31 deletions(-)

diff --git a/404.html b/404.html
index 5e7ce60..66318a8 100644
--- a/404.html
+++ b/404.html
@@ -28,7 +28,7 @@
 
     <a class="navbar-brand me-2" href="https://stscl.github.io/sdsfun/index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/authors.html b/authors.html
index 6c65810..70eec15 100644
--- a/authors.html
+++ b/authors.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -51,13 +51,13 @@ <h2 id="citation">Citation</h2>
 
       <p>Lv W (2024).
 <em>sdsfun: Spatial Data Science Complementary Features</em>.
-R package version 0.3.1, https://github.com/stscl/sdsfun, <a href="https://stscl.github.io/sdsfun/">https://stscl.github.io/sdsfun/</a>.
+R package version 0.4.0, https://github.com/stscl/sdsfun, <a href="https://stscl.github.io/sdsfun/">https://stscl.github.io/sdsfun/</a>.
 </p>
       <pre>@Manual{,
   title = {sdsfun: Spatial Data Science Complementary Features},
   author = {Wenbo Lv},
   year = {2024},
-  note = {R package version 0.3.1, https://github.com/stscl/sdsfun},
+  note = {R package version 0.4.0, https://github.com/stscl/sdsfun},
   url = {https://stscl.github.io/sdsfun/},
 }</pre>
     </div>
diff --git a/index.html b/index.html
index 6267be1..f31dfc0 100644
--- a/index.html
+++ b/index.html
@@ -32,7 +32,7 @@
 
     <a class="navbar-brand me-2" href="index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/news/index.html b/news/index.html
index 1a8f113..1a463a5 100644
--- a/news/index.html
+++ b/news/index.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,7 +38,7 @@
     </div>
 
     <div class="section level2">
-<h2 class="pkg-version" data-toc-text="0.3.1" id="sdsfun-031">sdsfun 0.3.1<a class="anchor" aria-label="anchor" href="#sdsfun-031"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.4.0" id="sdsfun-040">sdsfun 0.4.0<a class="anchor" aria-label="anchor" href="#sdsfun-040"></a></h2>
 <ul><li><p>Modify the handling of <code>n</code>-level variables to generate <code>n-1</code> dummy variables (<a href="https://github.com/stscl/sdsfun/issues/2" class="external-link">#2</a>).</p></li>
 <li><p>Introduce the <code>spdep_lmtest</code> function for spatial linear model selection (<a href="https://github.com/stscl/sdsfun/issues/3" class="external-link">#3</a>).</p></li>
 <li><p>Migrate the <code>moran_test</code> function from the <code>geocomplexity</code> package to <code>sdsfun</code> (<a href="https://github.com/stscl/sdsfun/issues/4" class="external-link">#4</a>).</p></li>
diff --git a/pkgdown.yml b/pkgdown.yml
index 5c0b744..ff1480b 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -2,7 +2,7 @@ pandoc: 3.1.11
 pkgdown: 2.1.1
 pkgdown_sha: ~
 articles: {}
-last_built: 2024-10-06T16:29Z
+last_built: 2024-10-07T02:38Z
 urls:
   reference: https://stscl.github.io/sdsfun/reference
   article: https://stscl.github.io/sdsfun/articles
diff --git a/reference/discretize_vector.html b/reference/discretize_vector.html
index f3fd52d..74e455e 100644
--- a/reference/discretize_vector.html
+++ b/reference/discretize_vector.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/dummy_tbl.html b/reference/dummy_tbl.html
index 0050fd6..f2ee0df 100644
--- a/reference/dummy_tbl.html
+++ b/reference/dummy_tbl.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/dummy_vec.html b/reference/dummy_vec.html
index b5a3bdf..0fbb601 100644
--- a/reference/dummy_vec.html
+++ b/reference/dummy_vec.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/fuzzyoverlay.html b/reference/fuzzyoverlay.html
index a6c4dad..ec8fd17 100644
--- a/reference/fuzzyoverlay.html
+++ b/reference/fuzzyoverlay.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/index.html b/reference/index.html
index ba1d5a7..5357642 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/inverse_distance_swm.html b/reference/inverse_distance_swm.html
index 988b986..9691c2c 100644
--- a/reference/inverse_distance_swm.html
+++ b/reference/inverse_distance_swm.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/moran_test.html b/reference/moran_test.html
index 6dfa09b..4a6f9ef 100644
--- a/reference/moran_test.html
+++ b/reference/moran_test.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/normalize_vector.html b/reference/normalize_vector.html
index 35a945e..925b406 100644
--- a/reference/normalize_vector.html
+++ b/reference/normalize_vector.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/pipe.html b/reference/pipe.html
index 9e48e6c..41a198a 100644
--- a/reference/pipe.html
+++ b/reference/pipe.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/sf_coordinates.html b/reference/sf_coordinates.html
index c3a2071..a7055d1 100644
--- a/reference/sf_coordinates.html
+++ b/reference/sf_coordinates.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/sf_distance_matrix.html b/reference/sf_distance_matrix.html
index 71d0bce..7bd78d4 100644
--- a/reference/sf_distance_matrix.html
+++ b/reference/sf_distance_matrix.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/sf_geometry_name.html b/reference/sf_geometry_name.html
index 9d057b8..d5bab13 100644
--- a/reference/sf_geometry_name.html
+++ b/reference/sf_geometry_name.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/sf_geometry_type.html b/reference/sf_geometry_type.html
index 50ed745..668762e 100644
--- a/reference/sf_geometry_type.html
+++ b/reference/sf_geometry_type.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/sf_utm_proj_wgs84.html b/reference/sf_utm_proj_wgs84.html
index a8eb115..8366c77 100644
--- a/reference/sf_utm_proj_wgs84.html
+++ b/reference/sf_utm_proj_wgs84.html
@@ -9,7 +9,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/sf_voronoi_diagram.html b/reference/sf_voronoi_diagram.html
index 873034d..736a864 100644
--- a/reference/sf_voronoi_diagram.html
+++ b/reference/sf_voronoi_diagram.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/spdep_contiguity_swm.html b/reference/spdep_contiguity_swm.html
index 9303a5b..e85ca25 100644
--- a/reference/spdep_contiguity_swm.html
+++ b/reference/spdep_contiguity_swm.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/spdep_distance_swm.html b/reference/spdep_distance_swm.html
index 9388426..62a4b79 100644
--- a/reference/spdep_distance_swm.html
+++ b/reference/spdep_distance_swm.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/spdep_lmtest.html b/reference/spdep_lmtest.html
index df67e9d..56e9315 100644
--- a/reference/spdep_lmtest.html
+++ b/reference/spdep_lmtest.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/spdep_nb.html b/reference/spdep_nb.html
index a9304d8..452dc93 100644
--- a/reference/spdep_nb.html
+++ b/reference/spdep_nb.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/spdep_skater.html b/reference/spdep_skater.html
index 7289123..5dbd12a 100644
--- a/reference/spdep_skater.html
+++ b/reference/spdep_skater.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/ssh_test.html b/reference/ssh_test.html
index b1cf33a..9d08ed0 100644
--- a/reference/ssh_test.html
+++ b/reference/ssh_test.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/standardize_vector.html b/reference/standardize_vector.html
index 98890c5..1926129 100644
--- a/reference/standardize_vector.html
+++ b/reference/standardize_vector.html
@@ -9,7 +9,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">sdsfun</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.4.0</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/search.json b/search.json
index 22bc923..83f69a6 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://stscl.github.io/sdsfun/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Wenbo Lv. Author, maintainer, copyright holder.","code":""},{"path":"https://stscl.github.io/sdsfun/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Lv W (2024). sdsfun: Spatial Data Science Complementary Features. R package version 0.3.1, https://github.com/stscl/sdsfun, https://stscl.github.io/sdsfun/.","code":"@Manual{,   title = {sdsfun: Spatial Data Science Complementary Features},   author = {Wenbo Lv},   year = {2024},   note = {R package version 0.3.1, https://github.com/stscl/sdsfun},   url = {https://stscl.github.io/sdsfun/}, }"},{"path":"https://stscl.github.io/sdsfun/index.html","id":"sdsfun-","dir":"","previous_headings":"","what":"sdsfun | Functions for Spatial Data Science\n","title":"sdsfun | Functions for Spatial Data Science\n","text":"Spatial Data Science Complementary Features","code":""},{"path":"https://stscl.github.io/sdsfun/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"sdsfun | Functions for Spatial Data Science\n","text":"Install CRAN : Install development binary version R-universe : Install development source version GitHub :","code":"install.packages(\"sdsfun\") install.packages('sdsfun',                  repos = c(\"https://stscl.r-universe.dev\",                            \"https://cloud.r-project.org\"),                  dep = TRUE) # install.packages(\"devtools\") devtools::install_github(\"stscl/sdsfun\", dep = TRUE)"},{"path":"https://stscl.github.io/sdsfun/reference/discretize_vector.html","id":null,"dir":"Reference","previous_headings":"","what":"discretization — discretize_vector","title":"discretization — discretize_vector","text":"discretization","code":""},{"path":"https://stscl.github.io/sdsfun/reference/discretize_vector.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"discretization — discretize_vector","text":"","code":"discretize_vector(x, n = 6, method = \"sd\", sampleprob = 0.15)"},{"path":"https://stscl.github.io/sdsfun/reference/discretize_vector.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"discretization — discretize_vector","text":"x continuous numeric vector. n (optional) number discretized, default 6 method (optional) method discretization, default sd. sampleprob (optional) data size exceeds 3000, perform sampling discretization, applicable natural breaks. Default 0.15.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/discretize_vector.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"discretization — discretize_vector","text":"discretized integer vector","code":""},{"path":"https://stscl.github.io/sdsfun/reference/discretize_vector.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"discretization — discretize_vector","text":"","code":"xvar = c(22361, 9573, 4836, 5309, 10384, 4359, 11016, 4414, 3327, 3408,          17816, 6909, 6936, 7990, 3758, 3569, 21965, 3605, 2181, 1892,          2459, 2934, 6399, 8578, 8537, 4840, 12132, 3734, 4372, 9073,          7508, 5203) discretize_vector(xvar, n = 5, method = 'sd') #>  [1] 5 2 2 2 3 1 3 1 1 1 4 2 2 2 1 1 5 1 1 1 1 1 2 2 2 2 3 1 1 2 2 2"},{"path":"https://stscl.github.io/sdsfun/reference/dummy_tbl.html","id":null,"dir":"Reference","previous_headings":"","what":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","title":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","text":"transforming category tibble corresponding dummy variable tibble","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_tbl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","text":"","code":"dummy_tbl(tbl)"},{"path":"https://stscl.github.io/sdsfun/reference/dummy_tbl.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","text":"tbl tibble data.frame.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_tbl.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","text":"tibble","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_tbl.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","text":"","code":"a = tibble::tibble(x = 1:3,y = 4:6) dummy_tbl(a) #> # A tibble: 3 × 4 #>     x_1   x_2   y_1   y_2 #>   <int> <int> <int> <int> #> 1     1     0     1     0 #> 2     0     1     0     1 #> 3     0     0     0     0"},{"path":"https://stscl.github.io/sdsfun/reference/dummy_vec.html","id":null,"dir":"Reference","previous_headings":"","what":"transforming a categorical variable into dummy variables — dummy_vec","title":"transforming a categorical variable into dummy variables — dummy_vec","text":"transforming categorical variable dummy variables","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_vec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"transforming a categorical variable into dummy variables — dummy_vec","text":"","code":"dummy_vec(x)"},{"path":"https://stscl.github.io/sdsfun/reference/dummy_vec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"transforming a categorical variable into dummy variables — dummy_vec","text":"x integer vector can converted integer vector.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_vec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"transforming a categorical variable into dummy variables — dummy_vec","text":"matrix.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_vec.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"transforming a categorical variable into dummy variables — dummy_vec","text":"","code":"dummy_vec(c(1,1,3,2,4,6)) #>      [,1] [,2] [,3] [,4] #> [1,]    1    0    0    0 #> [2,]    1    0    0    0 #> [3,]    0    1    0    0 #> [4,]    0    0    1    0 #> [5,]    0    0    0    1 #> [6,]    0    0    0    0"},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":null,"dir":"Reference","previous_headings":"","what":"spatial fuzzy overlay — fuzzyoverlay","title":"spatial fuzzy overlay — fuzzyoverlay","text":"spatial fuzzy overlay","code":""},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"spatial fuzzy overlay — fuzzyoverlay","text":"","code":"fuzzyoverlay(formula, data, method = \"and\")"},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"spatial fuzzy overlay — fuzzyoverlay","text":"formula formula spatial fuzzy overlay. data data.frame tibble discretized data. method (optional) Overlay methods. method , use min fuzzy overlay; method ,use max fuzzy overlay. Default .","code":""},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"spatial fuzzy overlay — fuzzyoverlay","text":"numeric vector.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"spatial fuzzy overlay — fuzzyoverlay","text":"Independent variables data provided fuzzyoverlay() must discretized variables, dependent variable continuous variable.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"spatial fuzzy overlay — fuzzyoverlay","text":"","code":"sim = tibble::tibble(y = stats::runif(7,0,10),                      x1 = c(1,rep(2,3),rep(3,3)),                      x2 = c(rep(1,2),rep(2,2),rep(3,3))) fo1 = fuzzyoverlay(y~x1+x2,data = sim, method = 'and') fo1 #>      1      2      3      4      5      6      7  #> \"x1_1\" \"x2_1\" \"x2_2\" \"x2_2\" \"x1_3\" \"x1_3\" \"x1_3\"  fo2 = fuzzyoverlay(y~x1+x2,data = sim, method = 'or') fo2 #>      1      2      3      4      5      6      7  #> \"x2_1\" \"x1_2\" \"x1_2\" \"x1_2\" \"x1_3\" \"x1_3\" \"x1_3\""},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":null,"dir":"Reference","previous_headings":"","what":"construct inverse distance weight — inverse_distance_swm","title":"construct inverse distance weight — inverse_distance_swm","text":"Function constructing inverse distance weight.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"construct inverse distance weight — inverse_distance_swm","text":"","code":"inverse_distance_swm(sfj, power = 1, bandwidth = NULL)"},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"construct inverse distance weight — inverse_distance_swm","text":"sfj Vector object can converted sf sf::st_as_sf(). power (optional) Default 1. Set 2 gravity weights. bandwidth (optional) distance bigger bandwidth, corresponding part weight matrix set 0. Default NULL, means use bandwidth.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"construct inverse distance weight — inverse_distance_swm","text":"inverse distance weight matrices class matrix.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"construct inverse distance weight — inverse_distance_swm","text":"inverse distance weight formula \\(w_{ij} = 1 / d_{ij}^\\alpha\\)","code":""},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"construct inverse distance weight — inverse_distance_swm","text":"","code":"library(sf) #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun')) wt = inverse_distance_swm(pts) wt[1:5,1:5] #>              1            2            3            4            5 #> 1 0.000000e+00 5.813118e-05 1.654238e-04 3.818149e-05 7.868869e-05 #> 2 5.813118e-05 0.000000e+00 7.576789e-05 2.988167e-05 3.913838e-05 #> 3 1.654238e-04 7.576789e-05 0.000000e+00 4.239359e-05 7.877952e-05 #> 4 3.818149e-05 2.988167e-05 4.239359e-05 0.000000e+00 6.845458e-05 #> 5 7.868869e-05 3.913838e-05 7.877952e-05 6.845458e-05 0.000000e+00"},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":null,"dir":"Reference","previous_headings":"","what":"test global spatial autocorrelation — moran_test","title":"test global spatial autocorrelation — moran_test","text":"Spatial autocorrelation test based global moran index.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"test global spatial autocorrelation — moran_test","text":"","code":"moran_test(sfj, wt = NULL, alternative = \"greater\", symmetrize = FALSE)"},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"test global spatial autocorrelation — moran_test","text":"sfj sf object can converted sf sf::st_as_sf(). wt (optional) Spatial weight matrix. Must matrix class. wt provided, sdsfun use first-order queen adjacency binary matrix. alternative (optional) Specification alternative hypothesis greater (default), lower, two.sided. symmetrize (optional) Whether symmetrize asymmetrical spatial weight matrix wt : 1/2 * (wt + wt'). Default FALSE.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"test global spatial autocorrelation — moran_test","text":"list moran_test class result stored result tibble. contains following information variable: MoranI observed value Moran coefficient EI expected value Moran's VarI variance Moran's (normality) ZI standardized Moran coefficient PI p-value test statistic","code":""},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"test global spatial autocorrelation — moran_test","text":"C++ implementation MI.vec function spfilteR package, embellishes console output. return result function actually list, please access result tibble using $result. non-numeric columns attribute columns sfj ignored.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"test global spatial autocorrelation — moran_test","text":"","code":"gzma = sf::read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun')) moran_test(gzma) #> ***                 global moran test                  #> ------------------------------------------------------------------- #>  Variable     MoranI         EI         VarI      zI        pI      #> ---------- ------------- ----------- ---------- ------- ----------- #>  PS_Score   0.504972***   -0.008547   0.003119   9.195   1.877e-20  #>  #>  EL_Score   0.351095***   -0.008547   0.003119   6.44    5.988e-11  #>  #>  OH_Score   0.593021***   -0.008547   0.003119   10.77   2.347e-27  #>  #>  IL_Score   0.483476***   -0.008547   0.003119   8.81    6.257e-19  #> ------------------------------------------------------------------- #>"},{"path":"https://stscl.github.io/sdsfun/reference/normalize_vector.html","id":null,"dir":"Reference","previous_headings":"","what":"normalization — normalize_vector","title":"normalization — normalize_vector","text":"normalization","code":""},{"path":"https://stscl.github.io/sdsfun/reference/normalize_vector.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"normalization — normalize_vector","text":"","code":"normalize_vector(x, to_left = 0, to_right = 1)"},{"path":"https://stscl.github.io/sdsfun/reference/normalize_vector.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"normalization — normalize_vector","text":"x continuous numeric vector. to_left (optional) Specified minimum. Default 0. to_right (optional) Specified maximum. Default 1.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/normalize_vector.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"normalization — normalize_vector","text":"continuous vector normalized.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/normalize_vector.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"normalization — normalize_vector","text":"","code":"normalize_vector(c(-5,1,5,0.01,0.99)) #> [1] 0.000 0.600 1.000 0.501 0.599"},{"path":"https://stscl.github.io/sdsfun/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"https://stscl.github.io/sdsfun/reference/pipe.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pipe operator — %>%","text":"NULL (magrittr pipe operator)","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_coordinates.html","id":null,"dir":"Reference","previous_headings":"","what":"extract locations — sf_coordinates","title":"extract locations — sf_coordinates","text":"Extract locations sf objects.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_coordinates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"extract locations — sf_coordinates","text":"","code":"sf_coordinates(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_coordinates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"extract locations — sf_coordinates","text":"sfj sf object can converted sf sf::st_as_sf().","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_coordinates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"extract locations — sf_coordinates","text":"matrix.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_coordinates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"extract locations — sf_coordinates","text":"","code":"library(sf) pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun')) sf_coordinates(pts) #>              X       Y #>  [1,] 321692.1 4004615 #>  [2,] 327093.8 3988283 #>  [3,] 319413.4 3999016 #>  [4,] 295859.7 4000298 #>  [5,] 309115.1 4006437 #>  [6,] 307693.8 4001200 #>  [7,] 321477.5 3995153 #>  [8,] 290924.8 4004432 #>  [9,] 310613.7 4008916 #> [10,] 309759.1 3998739 #> [11,] 325896.0 3998749 #> [12,] 298140.7 4012911 #> [13,] 318763.3 3991847 #> [14,] 317858.4 3996996 #> [15,] 293307.1 3997893 #> [16,] 278505.6 4014720 #> [17,] 328858.7 3990305 #> [18,] 321005.4 4001505 #> [19,] 298956.9 4002763 #> [20,] 303136.9 4004695 #> [21,] 303160.4 4000267 #> [22,] 320048.3 3997191 #> [23,] 297232.5 4004157 #> [24,] 314715.6 4004529 #> [25,] 306744.7 3997831 #> [26,] 333088.5 3999333 #> [27,] 274308.9 4010571 #> [28,] 323286.8 3989089 #> [29,] 314776.0 3993128 #> [30,] 295539.1 3995591 #> [31,] 287423.3 4017138 #> [32,] 320535.1 4006257 #> [33,] 305948.2 3991115 #> [34,] 323973.5 4000410 #> [35,] 289667.1 4012704 #> [36,] 306876.0 4004700 #> [37,] 303835.1 4003091 #> [38,] 331003.9 3997742 #> [39,] 296185.7 4007332 #> [40,] 313987.7 4009508 #> [41,] 305798.0 3996370 #> [42,] 301551.3 3992609 #> [43,] 279032.9 4005677 #> [44,] 324950.1 3986925 #> [45,] 312107.6 3998811 #> [46,] 297161.8 3997411 #> [47,] 284636.8 4021080 #> [48,] 308876.5 4009625 #> [49,] 317285.2 3985330 #> [50,] 322264.5 3997923 #> [51,] 291737.8 4011071 #> [52,] 309791.9 4005098 #> [53,] 308641.6 3999711 #> [54,] 327504.6 3997160 #> [55,] 301821.4 4013119 #> [56,] 318552.1 3990024 #> [57,] 307580.2 3995293 #> [58,] 287731.3 4000289 #> [59,] 287216.1 4004408 #> [60,] 319133.0 3986907 #> [61,] 313478.1 4003469 #> [62,] 302109.9 3994967 #> [63,] 299651.2 4015360"},{"path":"https://stscl.github.io/sdsfun/reference/sf_distance_matrix.html","id":null,"dir":"Reference","previous_headings":"","what":"generates distance matrix — sf_distance_matrix","title":"generates distance matrix — sf_distance_matrix","text":"Generates distance matrix sf object","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_distance_matrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"generates distance matrix — sf_distance_matrix","text":"","code":"sf_distance_matrix(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_distance_matrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"generates distance matrix — sf_distance_matrix","text":"sfj sf object can converted sf sf::st_as_sf().","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_distance_matrix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"generates distance matrix — sf_distance_matrix","text":"matrix.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_distance_matrix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"generates distance matrix — sf_distance_matrix","text":"","code":"library(sf) pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun')) pts_distm = sf_distance_matrix(pts) pts_distm[1:5,1:5] #>           1        2         3        4        5 #> 1     0.000 17202.47  6045.079 26190.70 12708.31 #> 2 17202.473     0.00 13198.202 33465.33 25550.36 #> 3  6045.079 13198.20     0.000 23588.47 12693.66 #> 4 26190.701 33465.33 23588.471     0.00 14608.23 #> 5 12708.306 25550.36 12693.655 14608.23     0.00"},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_name.html","id":null,"dir":"Reference","previous_headings":"","what":"sf object geometry column name — sf_geometry_name","title":"sf object geometry column name — sf_geometry_name","text":"Get geometry column name sf object","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_name.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sf object geometry column name — sf_geometry_name","text":"","code":"sf_geometry_name(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_name.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sf object geometry column name — sf_geometry_name","text":"sfj sf object.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_name.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"sf object geometry column name — sf_geometry_name","text":"character.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_name.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"sf object geometry column name — sf_geometry_name","text":"","code":"library(sf) gzma = read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun')) sf_geometry_name(gzma) #> [1] \"geom\""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_type.html","id":null,"dir":"Reference","previous_headings":"","what":"sf object geometry type — sf_geometry_type","title":"sf object geometry type — sf_geometry_type","text":"Get geometry type sf object","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_type.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sf object geometry type — sf_geometry_type","text":"","code":"sf_geometry_type(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_type.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sf object geometry type — sf_geometry_type","text":"sfj sf object.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_type.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"sf object geometry type — sf_geometry_type","text":"lowercase character vector","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_type.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"sf object geometry type — sf_geometry_type","text":"","code":"library(sf) gzma = read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun')) sf_geometry_type(gzma) #> [1] \"polygon\""},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":null,"dir":"Reference","previous_headings":"","what":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"Generates utm projection epsg coding character corresponding sfj object WGS84 spatial reference.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"","code":"sf_utm_proj_wgs84(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"sfj sf object can converted sf sf::st_as_sf().","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"character.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"See https://zhuanlan.zhihu.com/p/670055831 details.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"","code":"library(sf) gzma = read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun')) sf_utm_proj_wgs84(gzma) #> [1] \"EPSG:32649\""},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":null,"dir":"Reference","previous_headings":"","what":"generates voronoi diagram — sf_voronoi_diagram","title":"generates voronoi diagram — sf_voronoi_diagram","text":"Generates Voronoi diagram (Thiessen polygons) sf object","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"generates voronoi diagram — sf_voronoi_diagram","text":"","code":"sf_voronoi_diagram(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"generates voronoi diagram — sf_voronoi_diagram","text":"sfj sf object.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"generates voronoi diagram — sf_voronoi_diagram","text":"sf object polygon geometry type can converted sf::st_as_sf().","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"generates voronoi diagram — sf_voronoi_diagram","text":"sf objects (multi-)point type supported generate voronoi diagram returned result includes geometry column.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"generates voronoi diagram — sf_voronoi_diagram","text":"","code":"library(sf) pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun')) pts_v = sf_voronoi_diagram(pts)  library(ggplot2) ggplot() +   geom_sf(data = pts_v, color = 'red',           fill = 'transparent') +   geom_sf(data = pts, color = 'blue', size = 1.25) +   theme_void()"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":null,"dir":"Reference","previous_headings":"","what":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"Constructs spatial weight matrices based contiguity via spdep package.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"","code":"spdep_contiguity_swm(   sfj,   queen = TRUE,   k = NULL,   order = 1L,   cumulate = TRUE,   style = \"W\",   zero.policy = TRUE )"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"sfj sf object can converted sf sf::st_as_sf(). queen (optional) TRUE, using queen contiguity, otherwise rook contiguity. Default TRUE. k (optional) number nearest neighbours. Ignore parameter using distance based neighbours construct spatial weight matrices. order (optional) order adjacency object. Default 1. cumulate (optional) Whether accumulate adjacency objects. Default TRUE. style (optional) style can take values W, B, C, S. see spdep::nb2mat(). Default W. zero.policy (optional)  FALSE stop error empty neighbour sets, TRUE permit weights list formed zero-length weights vectors. Default TRUE.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"matrix","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"k set positive value, using K-Nearest Neighbor Weights.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"","code":"library(sf) gzma = read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun'))  wt1 = spdep_contiguity_swm(gzma, k = 6, style = 'B') wt2 = spdep_contiguity_swm(gzma, queen = TRUE, style = 'B') wt3 = spdep_contiguity_swm(gzma, queen = FALSE, order = 2, style = 'B')"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":null,"dir":"Reference","previous_headings":"","what":"constructs spatial weight matrices based on distance — spdep_distance_swm","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"Constructs spatial weight matrices based distance via spdep package.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"","code":"spdep_distance_swm(   sfj,   kernel = NULL,   k = NULL,   bandwidth = NULL,   power = 1,   style = \"W\",   zero.policy = TRUE )"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"sfj sf object can converted sf sf::st_as_sf(). kernel (optional) kernel function, can one uniform, triangular,quadratic(epanechnikov),quartic gaussian. Default NULL. k (optional) number nearest neighbours. Default NULL. useful kernel provided. bandwidth (optional) bandwidth, default NULL. spatial reference sf object geographical coordinate system, unit bandwidth km. unit used projection coordinate system consistent used sf object coordinate system. power (optional) Default 1. Useful kernel provided. style (optional) style can take values W, B, C, S. see spdep::nb2mat(). Default W. spatial weights based distance functions, style B means using original value calculated distance function. zero.policy (optional)  FALSE stop error empty neighbour sets, TRUE permit weights list formed zero-length weights vectors. Default TRUE.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"matrix","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"five different kernel weight functions: uniform: \\(K_{(z)} = 1/2\\),\\(\\lvert z \\rvert < 1\\) triangular \\(K_{(z)} = 1 - \\lvert z \\rvert\\),\\(\\lvert z \\rvert < 1\\) quadratic (epanechnikov) \\(K_{(z)} = \\frac{3}{4} \\left( 1 - z^2 \\right)\\),\\(\\lvert z \\rvert < 1\\) quartic \\(K_{(z)} = \\frac{15}{16} {\\left( 1 - z^2 \\right)}^2\\),\\(\\lvert z \\rvert < 1\\) gaussian \\(K_{(z)} = \\frac{1}{\\sqrt{2 \\pi}} e^{- \\frac{z^2}{2}}\\) equation , \\(z = d_{ij} / h_i\\) \\(h_i\\) bandwidth","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"kernel setting, using distance weight based kernel function, Otherwise inverse distance weight used.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"","code":"library(sf) pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun'))  wt1 = spdep_distance_swm(pts, style = 'B') wt2 = spdep_distance_swm(pts, kernel = 'gaussian') wt3 = spdep_distance_swm(pts, k = 3, kernel = 'gaussian') wt4 = spdep_distance_swm(pts, k = 3, kernel = 'gaussian', bandwidth = 10000)"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_lmtest.html","id":null,"dir":"Reference","previous_headings":"","what":"spatial linear models selection — spdep_lmtest","title":"spatial linear models selection — spdep_lmtest","text":"spatial linear models selection","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_lmtest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"spatial linear models selection — spdep_lmtest","text":"","code":"spdep_lmtest(formula, data, listw = NULL)"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_lmtest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"spatial linear models selection — spdep_lmtest","text":"formula formula linear regression model. data sf object observation data. listw (optional) listw. See spdep::mat2listw() spdep::nb2listw() details.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_lmtest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"spatial linear models selection — spdep_lmtest","text":"list","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_lmtest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"spatial linear models selection — spdep_lmtest","text":"","code":"boston_506 = sf::read_sf(system.file(\"shapes/boston_tracts.shp\", package = \"spData\")) spdep_lmtest(log(median) ~ CRIM + ZN + INDUS + CHAS, boston_506) #> \tRao's score (a.k.a Lagrange multiplier) diagnostics for spatial #> \tdependence #> data:   #> model: stats::lm(formula = formula, data = data) #> test weights: listw #>   #>          statistic parameter   p.value     #> RSerr      314.630         1 < 2.2e-16 *** #> RSlag       10.935         1 0.0009438 *** #> adjRSerr   313.816         1 < 2.2e-16 *** #> adjRSlag    10.120         1 0.0014663 **  #> SARMA      324.751         2 < 2.2e-16 *** #> --- #> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":null,"dir":"Reference","previous_headings":"","what":"construct neighbours list — spdep_nb","title":"construct neighbours list — spdep_nb","text":"construct neighbours list","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"construct neighbours list — spdep_nb","text":"","code":"spdep_nb(sfj, queen = TRUE, k = NULL, order = 1L, cumulate = TRUE)"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"construct neighbours list — spdep_nb","text":"sfj sf object can converted sf sf::st_as_sf(). queen (optional) TRUE, using queen contiguity, otherwise rook contiguity. Default TRUE. k (optional) number nearest neighbours. Ignore parameter using distance based neighbours. order (optional) order adjacency object. Default 1. cumulate (optional) Whether accumulate adjacency objects. Default TRUE.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"construct neighbours list — spdep_nb","text":"neighbours list class nb","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"construct neighbours list — spdep_nb","text":"k set positive value, using K-Nearest Neighbor","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"construct neighbours list — spdep_nb","text":"","code":"library(sf) pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun'))  nb1 = spdep_nb(pts, k = 6) nb2 = spdep_nb(pts, queen = TRUE) nb3 = spdep_nb(pts, queen = FALSE, order = 2)"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_skater.html","id":null,"dir":"Reference","previous_headings":"","what":"spatial c(k)luster analysis by tree edge removal — spdep_skater","title":"spatial c(k)luster analysis by tree edge removal — spdep_skater","text":"SKATER forms clusters spatially partitioning data similar values features interest.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_skater.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"spatial c(k)luster analysis by tree edge removal — spdep_skater","text":"","code":"spdep_skater(sfj, k = 6, nb = NULL, ini = 5, ...)"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_skater.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"spatial c(k)luster analysis by tree edge removal — spdep_skater","text":"sfj sf object observation data. Please ensure attribute columns included SKATER analysis. k (optional) number clusters. Default 6. nb (optional) neighbours list class nb. input nb NULL, constructed automatically using spdep_nb(). ini (optional) initial node minimal spanning tree. Defaul 5. ... (optional) parameters passed spdep::skater().","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_skater.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"spatial c(k)luster analysis by tree edge removal — spdep_skater","text":"numeric vector clusters.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_skater.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"spatial c(k)luster analysis by tree edge removal — spdep_skater","text":"","code":"library(sf) gzma = read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun')) gzma_c = spdep_skater(gzma,8) gzma$group = gzma_c plot(gzma[\"group\"])"},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":null,"dir":"Reference","previous_headings":"","what":"test explanatory power of spatial stratified heterogeneity — ssh_test","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"Spatial stratified heterogeneity test based geographical detector q value.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"","code":"ssh_test(y, hs)"},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"y Variable Y, continuous numeric vector. hs Spatial partitioning classification explanatory variable. factor, character, integer data.frame, tibble.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"tibble","code":""},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"C++ implementation factor_detector function gdverse package.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"","code":"ssh_test(y = 1:7, hs = c('x',rep('y',3),rep('z',3))) #> # A tibble: 1 × 2 #>   Qvalue Pvalue #>    <dbl>  <dbl> #> 1  0.857 0.0528"},{"path":"https://stscl.github.io/sdsfun/reference/standardize_vector.html","id":null,"dir":"Reference","previous_headings":"","what":"standardization — standardize_vector","title":"standardization — standardize_vector","text":"calculate Z-score using variance normalization, formula follows: \\(Z = \\frac{(x - mean(x))}{sd(x)}\\)","code":""},{"path":"https://stscl.github.io/sdsfun/reference/standardize_vector.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"standardization — standardize_vector","text":"","code":"standardize_vector(x)"},{"path":"https://stscl.github.io/sdsfun/reference/standardize_vector.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"standardization — standardize_vector","text":"x numeric vector","code":""},{"path":"https://stscl.github.io/sdsfun/reference/standardize_vector.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"standardization — standardize_vector","text":"standardized numeric vector","code":""},{"path":"https://stscl.github.io/sdsfun/reference/standardize_vector.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"standardization — standardize_vector","text":"","code":"standardize_vector(1:10) #>  [1] -1.4863011 -1.1560120 -0.8257228 -0.4954337 -0.1651446  0.1651446 #>  [7]  0.4954337  0.8257228  1.1560120  1.4863011"},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-031","dir":"Changelog","previous_headings":"","what":"sdsfun 0.3.1","title":"sdsfun 0.3.1","text":"Modify handling n-level variables generate n-1 dummy variables (#2). Introduce spdep_lmtest function spatial linear model selection (#3). Migrate moran_test function geocomplexity package sdsfun (#4). Implement geographical detector’s factor detector ssh_test using Rcpp (#5). Add discretize_vector function support variable discretization (#6). Rename dummy_vector dummy_vec consistency. Add sf_coordinates function extract coordinates sf objects.","code":""},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-030","dir":"Changelog","previous_headings":"","what":"sdsfun 0.3.0","title":"sdsfun 0.3.0","text":"CRAN release: 2024-09-30 Begin use Rcpp complete tasks high computational complexity. Add dummy_vector dummy_tbl functions dummy variables generation. Add spdep_nb function neighbours list generation. Add spdep_skater function spatial constrained clustering. Add fuzzyoverlay function spatial fuzzy overlay. Update package extdata; now sdsfun two extdata: gzma.gpkg pts.gpkg.","code":""},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-021","dir":"Changelog","previous_headings":"","what":"sdsfun 0.2.1","title":"sdsfun 0.2.1","text":"CRAN release: 2024-09-23 Enhance support types spatial vector data. Inhibit warning information produced spdep. Add sf_utm_proj_wgs84() function.","code":""},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-020","dir":"Changelog","previous_headings":"","what":"sdsfun 0.2.0","title":"sdsfun 0.2.0","text":"CRAN release: 2024-09-15 Add sf_distance_matrix() function.","code":""},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-011","dir":"Changelog","previous_headings":"","what":"sdsfun 0.1.1","title":"sdsfun 0.1.1","text":"CRAN release: 2024-09-08 Update function documentation spdep_contiguity_swm() spdep_distance_swm(). Move source code SpatLyu/sdsfun GitHub stscl/sdsfun.","code":""},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-010","dir":"Changelog","previous_headings":"","what":"sdsfun 0.1.0","title":"sdsfun 0.1.0","text":"CRAN release: 2024-08-30 Initial CRAN submission.","code":""}]
+[{"path":"https://stscl.github.io/sdsfun/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Wenbo Lv. Author, maintainer, copyright holder.","code":""},{"path":"https://stscl.github.io/sdsfun/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Lv W (2024). sdsfun: Spatial Data Science Complementary Features. R package version 0.4.0, https://github.com/stscl/sdsfun, https://stscl.github.io/sdsfun/.","code":"@Manual{,   title = {sdsfun: Spatial Data Science Complementary Features},   author = {Wenbo Lv},   year = {2024},   note = {R package version 0.4.0, https://github.com/stscl/sdsfun},   url = {https://stscl.github.io/sdsfun/}, }"},{"path":"https://stscl.github.io/sdsfun/index.html","id":"sdsfun-","dir":"","previous_headings":"","what":"sdsfun | Functions for Spatial Data Science\n","title":"sdsfun | Functions for Spatial Data Science\n","text":"Spatial Data Science Complementary Features","code":""},{"path":"https://stscl.github.io/sdsfun/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"sdsfun | Functions for Spatial Data Science\n","text":"Install CRAN : Install development binary version R-universe : Install development source version GitHub :","code":"install.packages(\"sdsfun\") install.packages('sdsfun',                  repos = c(\"https://stscl.r-universe.dev\",                            \"https://cloud.r-project.org\"),                  dep = TRUE) # install.packages(\"devtools\") devtools::install_github(\"stscl/sdsfun\", dep = TRUE)"},{"path":"https://stscl.github.io/sdsfun/reference/discretize_vector.html","id":null,"dir":"Reference","previous_headings":"","what":"discretization — discretize_vector","title":"discretization — discretize_vector","text":"discretization","code":""},{"path":"https://stscl.github.io/sdsfun/reference/discretize_vector.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"discretization — discretize_vector","text":"","code":"discretize_vector(x, n = 6, method = \"sd\", sampleprob = 0.15)"},{"path":"https://stscl.github.io/sdsfun/reference/discretize_vector.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"discretization — discretize_vector","text":"x continuous numeric vector. n (optional) number discretized, default 6 method (optional) method discretization, default sd. sampleprob (optional) data size exceeds 3000, perform sampling discretization, applicable natural breaks. Default 0.15.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/discretize_vector.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"discretization — discretize_vector","text":"discretized integer vector","code":""},{"path":"https://stscl.github.io/sdsfun/reference/discretize_vector.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"discretization — discretize_vector","text":"","code":"xvar = c(22361, 9573, 4836, 5309, 10384, 4359, 11016, 4414, 3327, 3408,          17816, 6909, 6936, 7990, 3758, 3569, 21965, 3605, 2181, 1892,          2459, 2934, 6399, 8578, 8537, 4840, 12132, 3734, 4372, 9073,          7508, 5203) discretize_vector(xvar, n = 5, method = 'sd') #>  [1] 5 2 2 2 3 1 3 1 1 1 4 2 2 2 1 1 5 1 1 1 1 1 2 2 2 2 3 1 1 2 2 2"},{"path":"https://stscl.github.io/sdsfun/reference/dummy_tbl.html","id":null,"dir":"Reference","previous_headings":"","what":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","title":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","text":"transforming category tibble corresponding dummy variable tibble","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_tbl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","text":"","code":"dummy_tbl(tbl)"},{"path":"https://stscl.github.io/sdsfun/reference/dummy_tbl.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","text":"tbl tibble data.frame.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_tbl.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","text":"tibble","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_tbl.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"transforming a category tibble into the corresponding dummy variable tibble — dummy_tbl","text":"","code":"a = tibble::tibble(x = 1:3,y = 4:6) dummy_tbl(a) #> # A tibble: 3 × 4 #>     x_1   x_2   y_1   y_2 #>   <int> <int> <int> <int> #> 1     1     0     1     0 #> 2     0     1     0     1 #> 3     0     0     0     0"},{"path":"https://stscl.github.io/sdsfun/reference/dummy_vec.html","id":null,"dir":"Reference","previous_headings":"","what":"transforming a categorical variable into dummy variables — dummy_vec","title":"transforming a categorical variable into dummy variables — dummy_vec","text":"transforming categorical variable dummy variables","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_vec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"transforming a categorical variable into dummy variables — dummy_vec","text":"","code":"dummy_vec(x)"},{"path":"https://stscl.github.io/sdsfun/reference/dummy_vec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"transforming a categorical variable into dummy variables — dummy_vec","text":"x integer vector can converted integer vector.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_vec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"transforming a categorical variable into dummy variables — dummy_vec","text":"matrix.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/dummy_vec.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"transforming a categorical variable into dummy variables — dummy_vec","text":"","code":"dummy_vec(c(1,1,3,2,4,6)) #>      [,1] [,2] [,3] [,4] #> [1,]    1    0    0    0 #> [2,]    1    0    0    0 #> [3,]    0    1    0    0 #> [4,]    0    0    1    0 #> [5,]    0    0    0    1 #> [6,]    0    0    0    0"},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":null,"dir":"Reference","previous_headings":"","what":"spatial fuzzy overlay — fuzzyoverlay","title":"spatial fuzzy overlay — fuzzyoverlay","text":"spatial fuzzy overlay","code":""},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"spatial fuzzy overlay — fuzzyoverlay","text":"","code":"fuzzyoverlay(formula, data, method = \"and\")"},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"spatial fuzzy overlay — fuzzyoverlay","text":"formula formula spatial fuzzy overlay. data data.frame tibble discretized data. method (optional) Overlay methods. method , use min fuzzy overlay; method ,use max fuzzy overlay. Default .","code":""},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"spatial fuzzy overlay — fuzzyoverlay","text":"numeric vector.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"spatial fuzzy overlay — fuzzyoverlay","text":"Independent variables data provided fuzzyoverlay() must discretized variables, dependent variable continuous variable.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/fuzzyoverlay.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"spatial fuzzy overlay — fuzzyoverlay","text":"","code":"sim = tibble::tibble(y = stats::runif(7,0,10),                      x1 = c(1,rep(2,3),rep(3,3)),                      x2 = c(rep(1,2),rep(2,2),rep(3,3))) fo1 = fuzzyoverlay(y~x1+x2,data = sim, method = 'and') fo1 #>      1      2      3      4      5      6      7  #> \"x1_1\" \"x2_1\" \"x2_2\" \"x2_2\" \"x1_3\" \"x1_3\" \"x1_3\"  fo2 = fuzzyoverlay(y~x1+x2,data = sim, method = 'or') fo2 #>      1      2      3      4      5      6      7  #> \"x2_1\" \"x1_2\" \"x1_2\" \"x1_2\" \"x1_3\" \"x1_3\" \"x1_3\""},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":null,"dir":"Reference","previous_headings":"","what":"construct inverse distance weight — inverse_distance_swm","title":"construct inverse distance weight — inverse_distance_swm","text":"Function constructing inverse distance weight.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"construct inverse distance weight — inverse_distance_swm","text":"","code":"inverse_distance_swm(sfj, power = 1, bandwidth = NULL)"},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"construct inverse distance weight — inverse_distance_swm","text":"sfj Vector object can converted sf sf::st_as_sf(). power (optional) Default 1. Set 2 gravity weights. bandwidth (optional) distance bigger bandwidth, corresponding part weight matrix set 0. Default NULL, means use bandwidth.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"construct inverse distance weight — inverse_distance_swm","text":"inverse distance weight matrices class matrix.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"construct inverse distance weight — inverse_distance_swm","text":"inverse distance weight formula \\(w_{ij} = 1 / d_{ij}^\\alpha\\)","code":""},{"path":"https://stscl.github.io/sdsfun/reference/inverse_distance_swm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"construct inverse distance weight — inverse_distance_swm","text":"","code":"library(sf) #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun')) wt = inverse_distance_swm(pts) wt[1:5,1:5] #>              1            2            3            4            5 #> 1 0.000000e+00 5.813118e-05 1.654238e-04 3.818149e-05 7.868869e-05 #> 2 5.813118e-05 0.000000e+00 7.576789e-05 2.988167e-05 3.913838e-05 #> 3 1.654238e-04 7.576789e-05 0.000000e+00 4.239359e-05 7.877952e-05 #> 4 3.818149e-05 2.988167e-05 4.239359e-05 0.000000e+00 6.845458e-05 #> 5 7.868869e-05 3.913838e-05 7.877952e-05 6.845458e-05 0.000000e+00"},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":null,"dir":"Reference","previous_headings":"","what":"test global spatial autocorrelation — moran_test","title":"test global spatial autocorrelation — moran_test","text":"Spatial autocorrelation test based global moran index.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"test global spatial autocorrelation — moran_test","text":"","code":"moran_test(sfj, wt = NULL, alternative = \"greater\", symmetrize = FALSE)"},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"test global spatial autocorrelation — moran_test","text":"sfj sf object can converted sf sf::st_as_sf(). wt (optional) Spatial weight matrix. Must matrix class. wt provided, sdsfun use first-order queen adjacency binary matrix. alternative (optional) Specification alternative hypothesis greater (default), lower, two.sided. symmetrize (optional) Whether symmetrize asymmetrical spatial weight matrix wt : 1/2 * (wt + wt'). Default FALSE.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"test global spatial autocorrelation — moran_test","text":"list moran_test class result stored result tibble. contains following information variable: MoranI observed value Moran coefficient EI expected value Moran's VarI variance Moran's (normality) ZI standardized Moran coefficient PI p-value test statistic","code":""},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"test global spatial autocorrelation — moran_test","text":"C++ implementation MI.vec function spfilteR package, embellishes console output. return result function actually list, please access result tibble using $result. non-numeric columns attribute columns sfj ignored.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/moran_test.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"test global spatial autocorrelation — moran_test","text":"","code":"gzma = sf::read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun')) moran_test(gzma) #> ***                 global moran test                  #> ------------------------------------------------------------------- #>  Variable     MoranI         EI         VarI      zI        pI      #> ---------- ------------- ----------- ---------- ------- ----------- #>  PS_Score   0.504972***   -0.008547   0.003119   9.195   1.877e-20  #>  #>  EL_Score   0.351095***   -0.008547   0.003119   6.44    5.988e-11  #>  #>  OH_Score   0.593021***   -0.008547   0.003119   10.77   2.347e-27  #>  #>  IL_Score   0.483476***   -0.008547   0.003119   8.81    6.257e-19  #> ------------------------------------------------------------------- #>"},{"path":"https://stscl.github.io/sdsfun/reference/normalize_vector.html","id":null,"dir":"Reference","previous_headings":"","what":"normalization — normalize_vector","title":"normalization — normalize_vector","text":"normalization","code":""},{"path":"https://stscl.github.io/sdsfun/reference/normalize_vector.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"normalization — normalize_vector","text":"","code":"normalize_vector(x, to_left = 0, to_right = 1)"},{"path":"https://stscl.github.io/sdsfun/reference/normalize_vector.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"normalization — normalize_vector","text":"x continuous numeric vector. to_left (optional) Specified minimum. Default 0. to_right (optional) Specified maximum. Default 1.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/normalize_vector.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"normalization — normalize_vector","text":"continuous vector normalized.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/normalize_vector.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"normalization — normalize_vector","text":"","code":"normalize_vector(c(-5,1,5,0.01,0.99)) #> [1] 0.000 0.600 1.000 0.501 0.599"},{"path":"https://stscl.github.io/sdsfun/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"https://stscl.github.io/sdsfun/reference/pipe.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pipe operator — %>%","text":"NULL (magrittr pipe operator)","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_coordinates.html","id":null,"dir":"Reference","previous_headings":"","what":"extract locations — sf_coordinates","title":"extract locations — sf_coordinates","text":"Extract locations sf objects.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_coordinates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"extract locations — sf_coordinates","text":"","code":"sf_coordinates(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_coordinates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"extract locations — sf_coordinates","text":"sfj sf object can converted sf sf::st_as_sf().","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_coordinates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"extract locations — sf_coordinates","text":"matrix.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_coordinates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"extract locations — sf_coordinates","text":"","code":"library(sf) pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun')) sf_coordinates(pts) #>              X       Y #>  [1,] 321692.1 4004615 #>  [2,] 327093.8 3988283 #>  [3,] 319413.4 3999016 #>  [4,] 295859.7 4000298 #>  [5,] 309115.1 4006437 #>  [6,] 307693.8 4001200 #>  [7,] 321477.5 3995153 #>  [8,] 290924.8 4004432 #>  [9,] 310613.7 4008916 #> [10,] 309759.1 3998739 #> [11,] 325896.0 3998749 #> [12,] 298140.7 4012911 #> [13,] 318763.3 3991847 #> [14,] 317858.4 3996996 #> [15,] 293307.1 3997893 #> [16,] 278505.6 4014720 #> [17,] 328858.7 3990305 #> [18,] 321005.4 4001505 #> [19,] 298956.9 4002763 #> [20,] 303136.9 4004695 #> [21,] 303160.4 4000267 #> [22,] 320048.3 3997191 #> [23,] 297232.5 4004157 #> [24,] 314715.6 4004529 #> [25,] 306744.7 3997831 #> [26,] 333088.5 3999333 #> [27,] 274308.9 4010571 #> [28,] 323286.8 3989089 #> [29,] 314776.0 3993128 #> [30,] 295539.1 3995591 #> [31,] 287423.3 4017138 #> [32,] 320535.1 4006257 #> [33,] 305948.2 3991115 #> [34,] 323973.5 4000410 #> [35,] 289667.1 4012704 #> [36,] 306876.0 4004700 #> [37,] 303835.1 4003091 #> [38,] 331003.9 3997742 #> [39,] 296185.7 4007332 #> [40,] 313987.7 4009508 #> [41,] 305798.0 3996370 #> [42,] 301551.3 3992609 #> [43,] 279032.9 4005677 #> [44,] 324950.1 3986925 #> [45,] 312107.6 3998811 #> [46,] 297161.8 3997411 #> [47,] 284636.8 4021080 #> [48,] 308876.5 4009625 #> [49,] 317285.2 3985330 #> [50,] 322264.5 3997923 #> [51,] 291737.8 4011071 #> [52,] 309791.9 4005098 #> [53,] 308641.6 3999711 #> [54,] 327504.6 3997160 #> [55,] 301821.4 4013119 #> [56,] 318552.1 3990024 #> [57,] 307580.2 3995293 #> [58,] 287731.3 4000289 #> [59,] 287216.1 4004408 #> [60,] 319133.0 3986907 #> [61,] 313478.1 4003469 #> [62,] 302109.9 3994967 #> [63,] 299651.2 4015360"},{"path":"https://stscl.github.io/sdsfun/reference/sf_distance_matrix.html","id":null,"dir":"Reference","previous_headings":"","what":"generates distance matrix — sf_distance_matrix","title":"generates distance matrix — sf_distance_matrix","text":"Generates distance matrix sf object","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_distance_matrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"generates distance matrix — sf_distance_matrix","text":"","code":"sf_distance_matrix(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_distance_matrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"generates distance matrix — sf_distance_matrix","text":"sfj sf object can converted sf sf::st_as_sf().","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_distance_matrix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"generates distance matrix — sf_distance_matrix","text":"matrix.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_distance_matrix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"generates distance matrix — sf_distance_matrix","text":"","code":"library(sf) pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun')) pts_distm = sf_distance_matrix(pts) pts_distm[1:5,1:5] #>           1        2         3        4        5 #> 1     0.000 17202.47  6045.079 26190.70 12708.31 #> 2 17202.473     0.00 13198.202 33465.33 25550.36 #> 3  6045.079 13198.20     0.000 23588.47 12693.66 #> 4 26190.701 33465.33 23588.471     0.00 14608.23 #> 5 12708.306 25550.36 12693.655 14608.23     0.00"},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_name.html","id":null,"dir":"Reference","previous_headings":"","what":"sf object geometry column name — sf_geometry_name","title":"sf object geometry column name — sf_geometry_name","text":"Get geometry column name sf object","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_name.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sf object geometry column name — sf_geometry_name","text":"","code":"sf_geometry_name(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_name.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sf object geometry column name — sf_geometry_name","text":"sfj sf object.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_name.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"sf object geometry column name — sf_geometry_name","text":"character.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_name.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"sf object geometry column name — sf_geometry_name","text":"","code":"library(sf) gzma = read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun')) sf_geometry_name(gzma) #> [1] \"geom\""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_type.html","id":null,"dir":"Reference","previous_headings":"","what":"sf object geometry type — sf_geometry_type","title":"sf object geometry type — sf_geometry_type","text":"Get geometry type sf object","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_type.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sf object geometry type — sf_geometry_type","text":"","code":"sf_geometry_type(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_type.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sf object geometry type — sf_geometry_type","text":"sfj sf object.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_type.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"sf object geometry type — sf_geometry_type","text":"lowercase character vector","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_geometry_type.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"sf object geometry type — sf_geometry_type","text":"","code":"library(sf) gzma = read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun')) sf_geometry_type(gzma) #> [1] \"polygon\""},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":null,"dir":"Reference","previous_headings":"","what":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"Generates utm projection epsg coding character corresponding sfj object WGS84 spatial reference.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"","code":"sf_utm_proj_wgs84(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"sfj sf object can converted sf sf::st_as_sf().","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"character.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"See https://zhuanlan.zhihu.com/p/670055831 details.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_utm_proj_wgs84.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"generates wgs84 utm projection epsg coding character — sf_utm_proj_wgs84","text":"","code":"library(sf) gzma = read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun')) sf_utm_proj_wgs84(gzma) #> [1] \"EPSG:32649\""},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":null,"dir":"Reference","previous_headings":"","what":"generates voronoi diagram — sf_voronoi_diagram","title":"generates voronoi diagram — sf_voronoi_diagram","text":"Generates Voronoi diagram (Thiessen polygons) sf object","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"generates voronoi diagram — sf_voronoi_diagram","text":"","code":"sf_voronoi_diagram(sfj)"},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"generates voronoi diagram — sf_voronoi_diagram","text":"sfj sf object.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"generates voronoi diagram — sf_voronoi_diagram","text":"sf object polygon geometry type can converted sf::st_as_sf().","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"generates voronoi diagram — sf_voronoi_diagram","text":"sf objects (multi-)point type supported generate voronoi diagram returned result includes geometry column.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/sf_voronoi_diagram.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"generates voronoi diagram — sf_voronoi_diagram","text":"","code":"library(sf) pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun')) pts_v = sf_voronoi_diagram(pts)  library(ggplot2) ggplot() +   geom_sf(data = pts_v, color = 'red',           fill = 'transparent') +   geom_sf(data = pts, color = 'blue', size = 1.25) +   theme_void()"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":null,"dir":"Reference","previous_headings":"","what":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"Constructs spatial weight matrices based contiguity via spdep package.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"","code":"spdep_contiguity_swm(   sfj,   queen = TRUE,   k = NULL,   order = 1L,   cumulate = TRUE,   style = \"W\",   zero.policy = TRUE )"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"sfj sf object can converted sf sf::st_as_sf(). queen (optional) TRUE, using queen contiguity, otherwise rook contiguity. Default TRUE. k (optional) number nearest neighbours. Ignore parameter using distance based neighbours construct spatial weight matrices. order (optional) order adjacency object. Default 1. cumulate (optional) Whether accumulate adjacency objects. Default TRUE. style (optional) style can take values W, B, C, S. see spdep::nb2mat(). Default W. zero.policy (optional)  FALSE stop error empty neighbour sets, TRUE permit weights list formed zero-length weights vectors. Default TRUE.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"matrix","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"k set positive value, using K-Nearest Neighbor Weights.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_contiguity_swm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"constructs spatial weight matrices based on contiguity — spdep_contiguity_swm","text":"","code":"library(sf) gzma = read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun'))  wt1 = spdep_contiguity_swm(gzma, k = 6, style = 'B') wt2 = spdep_contiguity_swm(gzma, queen = TRUE, style = 'B') wt3 = spdep_contiguity_swm(gzma, queen = FALSE, order = 2, style = 'B')"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":null,"dir":"Reference","previous_headings":"","what":"constructs spatial weight matrices based on distance — spdep_distance_swm","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"Constructs spatial weight matrices based distance via spdep package.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"","code":"spdep_distance_swm(   sfj,   kernel = NULL,   k = NULL,   bandwidth = NULL,   power = 1,   style = \"W\",   zero.policy = TRUE )"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"sfj sf object can converted sf sf::st_as_sf(). kernel (optional) kernel function, can one uniform, triangular,quadratic(epanechnikov),quartic gaussian. Default NULL. k (optional) number nearest neighbours. Default NULL. useful kernel provided. bandwidth (optional) bandwidth, default NULL. spatial reference sf object geographical coordinate system, unit bandwidth km. unit used projection coordinate system consistent used sf object coordinate system. power (optional) Default 1. Useful kernel provided. style (optional) style can take values W, B, C, S. see spdep::nb2mat(). Default W. spatial weights based distance functions, style B means using original value calculated distance function. zero.policy (optional)  FALSE stop error empty neighbour sets, TRUE permit weights list formed zero-length weights vectors. Default TRUE.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"matrix","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"five different kernel weight functions: uniform: \\(K_{(z)} = 1/2\\),\\(\\lvert z \\rvert < 1\\) triangular \\(K_{(z)} = 1 - \\lvert z \\rvert\\),\\(\\lvert z \\rvert < 1\\) quadratic (epanechnikov) \\(K_{(z)} = \\frac{3}{4} \\left( 1 - z^2 \\right)\\),\\(\\lvert z \\rvert < 1\\) quartic \\(K_{(z)} = \\frac{15}{16} {\\left( 1 - z^2 \\right)}^2\\),\\(\\lvert z \\rvert < 1\\) gaussian \\(K_{(z)} = \\frac{1}{\\sqrt{2 \\pi}} e^{- \\frac{z^2}{2}}\\) equation , \\(z = d_{ij} / h_i\\) \\(h_i\\) bandwidth","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"kernel setting, using distance weight based kernel function, Otherwise inverse distance weight used.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_distance_swm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"constructs spatial weight matrices based on distance — spdep_distance_swm","text":"","code":"library(sf) pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun'))  wt1 = spdep_distance_swm(pts, style = 'B') wt2 = spdep_distance_swm(pts, kernel = 'gaussian') wt3 = spdep_distance_swm(pts, k = 3, kernel = 'gaussian') wt4 = spdep_distance_swm(pts, k = 3, kernel = 'gaussian', bandwidth = 10000)"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_lmtest.html","id":null,"dir":"Reference","previous_headings":"","what":"spatial linear models selection — spdep_lmtest","title":"spatial linear models selection — spdep_lmtest","text":"spatial linear models selection","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_lmtest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"spatial linear models selection — spdep_lmtest","text":"","code":"spdep_lmtest(formula, data, listw = NULL)"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_lmtest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"spatial linear models selection — spdep_lmtest","text":"formula formula linear regression model. data sf object observation data. listw (optional) listw. See spdep::mat2listw() spdep::nb2listw() details.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_lmtest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"spatial linear models selection — spdep_lmtest","text":"list","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_lmtest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"spatial linear models selection — spdep_lmtest","text":"","code":"boston_506 = sf::read_sf(system.file(\"shapes/boston_tracts.shp\", package = \"spData\")) spdep_lmtest(log(median) ~ CRIM + ZN + INDUS + CHAS, boston_506) #> \tRao's score (a.k.a Lagrange multiplier) diagnostics for spatial #> \tdependence #> data:   #> model: stats::lm(formula = formula, data = data) #> test weights: listw #>   #>          statistic parameter   p.value     #> RSerr      314.630         1 < 2.2e-16 *** #> RSlag       10.935         1 0.0009438 *** #> adjRSerr   313.816         1 < 2.2e-16 *** #> adjRSlag    10.120         1 0.0014663 **  #> SARMA      324.751         2 < 2.2e-16 *** #> --- #> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":null,"dir":"Reference","previous_headings":"","what":"construct neighbours list — spdep_nb","title":"construct neighbours list — spdep_nb","text":"construct neighbours list","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"construct neighbours list — spdep_nb","text":"","code":"spdep_nb(sfj, queen = TRUE, k = NULL, order = 1L, cumulate = TRUE)"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"construct neighbours list — spdep_nb","text":"sfj sf object can converted sf sf::st_as_sf(). queen (optional) TRUE, using queen contiguity, otherwise rook contiguity. Default TRUE. k (optional) number nearest neighbours. Ignore parameter using distance based neighbours. order (optional) order adjacency object. Default 1. cumulate (optional) Whether accumulate adjacency objects. Default TRUE.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"construct neighbours list — spdep_nb","text":"neighbours list class nb","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"construct neighbours list — spdep_nb","text":"k set positive value, using K-Nearest Neighbor","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_nb.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"construct neighbours list — spdep_nb","text":"","code":"library(sf) pts = read_sf(system.file('extdata/pts.gpkg',package = 'sdsfun'))  nb1 = spdep_nb(pts, k = 6) nb2 = spdep_nb(pts, queen = TRUE) nb3 = spdep_nb(pts, queen = FALSE, order = 2)"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_skater.html","id":null,"dir":"Reference","previous_headings":"","what":"spatial c(k)luster analysis by tree edge removal — spdep_skater","title":"spatial c(k)luster analysis by tree edge removal — spdep_skater","text":"SKATER forms clusters spatially partitioning data similar values features interest.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_skater.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"spatial c(k)luster analysis by tree edge removal — spdep_skater","text":"","code":"spdep_skater(sfj, k = 6, nb = NULL, ini = 5, ...)"},{"path":"https://stscl.github.io/sdsfun/reference/spdep_skater.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"spatial c(k)luster analysis by tree edge removal — spdep_skater","text":"sfj sf object observation data. Please ensure attribute columns included SKATER analysis. k (optional) number clusters. Default 6. nb (optional) neighbours list class nb. input nb NULL, constructed automatically using spdep_nb(). ini (optional) initial node minimal spanning tree. Defaul 5. ... (optional) parameters passed spdep::skater().","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_skater.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"spatial c(k)luster analysis by tree edge removal — spdep_skater","text":"numeric vector clusters.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/spdep_skater.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"spatial c(k)luster analysis by tree edge removal — spdep_skater","text":"","code":"library(sf) gzma = read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun')) gzma_c = spdep_skater(gzma,8) gzma$group = gzma_c plot(gzma[\"group\"])"},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":null,"dir":"Reference","previous_headings":"","what":"test explanatory power of spatial stratified heterogeneity — ssh_test","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"Spatial stratified heterogeneity test based geographical detector q value.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"","code":"ssh_test(y, hs)"},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"y Variable Y, continuous numeric vector. hs Spatial partitioning classification explanatory variable. factor, character, integer data.frame, tibble.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"tibble","code":""},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"C++ implementation factor_detector function gdverse package.","code":""},{"path":"https://stscl.github.io/sdsfun/reference/ssh_test.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"test explanatory power of spatial stratified heterogeneity — ssh_test","text":"","code":"ssh_test(y = 1:7, hs = c('x',rep('y',3),rep('z',3))) #> # A tibble: 1 × 2 #>   Qvalue Pvalue #>    <dbl>  <dbl> #> 1  0.857 0.0528"},{"path":"https://stscl.github.io/sdsfun/reference/standardize_vector.html","id":null,"dir":"Reference","previous_headings":"","what":"standardization — standardize_vector","title":"standardization — standardize_vector","text":"calculate Z-score using variance normalization, formula follows: \\(Z = \\frac{(x - mean(x))}{sd(x)}\\)","code":""},{"path":"https://stscl.github.io/sdsfun/reference/standardize_vector.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"standardization — standardize_vector","text":"","code":"standardize_vector(x)"},{"path":"https://stscl.github.io/sdsfun/reference/standardize_vector.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"standardization — standardize_vector","text":"x numeric vector","code":""},{"path":"https://stscl.github.io/sdsfun/reference/standardize_vector.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"standardization — standardize_vector","text":"standardized numeric vector","code":""},{"path":"https://stscl.github.io/sdsfun/reference/standardize_vector.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"standardization — standardize_vector","text":"","code":"standardize_vector(1:10) #>  [1] -1.4863011 -1.1560120 -0.8257228 -0.4954337 -0.1651446  0.1651446 #>  [7]  0.4954337  0.8257228  1.1560120  1.4863011"},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-040","dir":"Changelog","previous_headings":"","what":"sdsfun 0.4.0","title":"sdsfun 0.4.0","text":"Modify handling n-level variables generate n-1 dummy variables (#2). Introduce spdep_lmtest function spatial linear model selection (#3). Migrate moran_test function geocomplexity package sdsfun (#4). Implement geographical detector’s factor detector ssh_test using Rcpp (#5). Add discretize_vector function support variable discretization (#6). Rename dummy_vector dummy_vec consistency. Add sf_coordinates function extract coordinates sf objects.","code":""},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-030","dir":"Changelog","previous_headings":"","what":"sdsfun 0.3.0","title":"sdsfun 0.3.0","text":"CRAN release: 2024-09-30 Begin use Rcpp complete tasks high computational complexity. Add dummy_vector dummy_tbl functions dummy variables generation. Add spdep_nb function neighbours list generation. Add spdep_skater function spatial constrained clustering. Add fuzzyoverlay function spatial fuzzy overlay. Update package extdata; now sdsfun two extdata: gzma.gpkg pts.gpkg.","code":""},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-021","dir":"Changelog","previous_headings":"","what":"sdsfun 0.2.1","title":"sdsfun 0.2.1","text":"CRAN release: 2024-09-23 Enhance support types spatial vector data. Inhibit warning information produced spdep. Add sf_utm_proj_wgs84() function.","code":""},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-020","dir":"Changelog","previous_headings":"","what":"sdsfun 0.2.0","title":"sdsfun 0.2.0","text":"CRAN release: 2024-09-15 Add sf_distance_matrix() function.","code":""},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-011","dir":"Changelog","previous_headings":"","what":"sdsfun 0.1.1","title":"sdsfun 0.1.1","text":"CRAN release: 2024-09-08 Update function documentation spdep_contiguity_swm() spdep_distance_swm(). Move source code SpatLyu/sdsfun GitHub stscl/sdsfun.","code":""},{"path":"https://stscl.github.io/sdsfun/news/index.html","id":"sdsfun-010","dir":"Changelog","previous_headings":"","what":"sdsfun 0.1.0","title":"sdsfun 0.1.0","text":"CRAN release: 2024-08-30 Initial CRAN submission.","code":""}]