update

README.md

@@ -53,26 +53,34 @@ These mappings were then used to create aggregations of the shapes on two levels
   language, were ignored.
 - Areas labeled as language (sub-)groups with no counterpart in Glottolog's classification (e.g. "Papuan") were
   ignored.
-- Languoids in this dataset are related to the original shapes through a list-valued foreign key, i.e. a many-to-many relation. Thus,
-  examining languoids together with the source shapes requires joining tables which can easily be done via
-  [CLDF SQL](https://github.com/cldf/cldf/blob/master/extensions/sql.md).
-  As expected, the big language families of the area have the biggest number of associated shapes:
-  ```sql
-  SELECT l.cldf_name, count(c.cldf_id) AS c
-  FROM LanguageTable AS l 
-  JOIN LanguageTable_ContributionTable AS cassoc ON cassoc.LanguageTable_cldf_id = l.cldf_id
-  JOIN ContributionTable AS c ON c.cldf_id = cassoc.ContributionTable_cldf_id
-  GROUP BY l.cldf_id
-  ORDER BY c DESC LIMIT 4;
-  ```
-  family | shapes
-  --- | ---:
-  Austronesian|1259
-  Nuclear Trans New Guinea|389
-  Austroasiatic|107
-  Pama-Nyungan|104
 
 
+## Usage
+
+Languoids in this dataset are related to the original shapes through a list-valued foreign key, i.e. a many-to-many relation. Thus,
+examining languoids together with the source shapes requires joining tables which can easily be done via
+[CLDF SQL](https://github.com/cldf/cldf/blob/master/extensions/sql.md).
+As expected, the big language families of the area have the biggest number of associated shapes:
+```sql
+SELECT l.cldf_name, count(c.cldf_id) AS c
+FROM LanguageTable AS l 
+JOIN LanguageTable_ContributionTable AS cassoc ON cassoc.LanguageTable_cldf_id = l.cldf_id
+JOIN ContributionTable AS c ON c.cldf_id = cassoc.ContributionTable_cldf_id
+GROUP BY l.cldf_id
+ORDER BY c DESC LIMIT 4;
+```
+family | shapes
+--- | ---:
+Austronesian|1259
+Nuclear Trans New Guinea|389
+Austroasiatic|107
+Pama-Nyungan|104
+
+[Speaker area shapes](https://github.com/cldf/cldf/tree/master/components/languages#speaker-area) are 
+provided as GeoJSON features, thus are available programmatically, e.g. using `pycldf`. But the GeoJSON
+files for [language](cldf/languages.geojson)- and [family](cldf/families.geojson)-level areas can also
+be inspected using GIS tools such as https://geojson.io
+
 ## CLDF Datasets
 
 The following CLDF datasets are available in [cldf](cldf):

cldf/Generic-metadata.json

@@ -14,7 +14,7 @@
         {
             "rdf:about": "https://github.com/cldf-datasets/languageatlasofthepacificarea",
             "rdf:type": "prov:Entity",
-            "dc:created": "c7948e2",
+            "dc:created": "e740b25",
             "dc:title": "Repository"
         },
         {
@@ -156,7 +156,7 @@
         },
         {
             "dc:conformsTo": "http://cldf.clld.org/v1.0/terms.rdf#LanguageTable",
-            "dc:extent": 1789,
+            "dc:extent": 1808,
             "tableSchema": {
                 "columns": [
                     {