From 35ce329ad325752bd802ae652960bb2f9d18a448 Mon Sep 17 00:00:00 2001 From: Insang Song Date: Wed, 22 Nov 2023 10:35:00 -0500 Subject: [PATCH 1/2] 0.0.6 patch - tidied some lines - added tests - new test data for distribute along hierarchy --- DESCRIPTION | 2 +- NAMESPACE | 2 +- R/indexing.R | 30 --- R/processing.R | 64 +++---- R/scale_process.R | 28 +-- man/clip_as_extent.Rd | 4 +- man/extract_with.Rd | 2 +- man/extract_with_polygons.Rd | 17 +- scomps_0.0.6.11222023.tar.gz | Bin 0 -> 29029 bytes scomps_rmarkdown_litr.rmd | 202 ++++++++++---------- tests/testdata/nc_hierarchy.gpkg | Bin 0 -> 9715712 bytes tests/testthat/tests.R | 71 ++++++- tools/tarballs/scomps_0.0.6.11222023.tar.gz | Bin 0 -> 28973 bytes 13 files changed, 221 insertions(+), 201 deletions(-) delete mode 100644 R/indexing.R create mode 100644 scomps_0.0.6.11222023.tar.gz create mode 100644 tests/testdata/nc_hierarchy.gpkg create mode 100644 tools/tarballs/scomps_0.0.6.11222023.tar.gz diff --git a/DESCRIPTION b/DESCRIPTION index 77bd554a..aaff9b57 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: scomps Title: Scalable R geospatial computation -Version: 0.0.6.11212023 +Version: 0.0.6.11222023 Authors@R: person("Insang", "Song", , "geoissong@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8732-3256")) diff --git a/NAMESPACE b/NAMESPACE index 020b21ac..b596071e 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -23,9 +23,9 @@ export(initate_log) export(rast_short) export(set_clip_extent) export(sp_index_grid) -export(sp_indexing) export(switch_packbound) export(validate_and_repair_vectors) +import(exactextractr) import(future) import(future.apply) import(progressr) diff --git a/R/indexing.R b/R/indexing.R deleted file mode 100644 index 3c1e26da..00000000 --- a/R/indexing.R +++ /dev/null @@ -1,30 +0,0 @@ -# Generated from scomps_rmarkdown_litr.rmd: do not edit by hand - -#' @title Create integer indices for grid -#' @description Returns a tibble object that includes -#' x- and y- index by using two inputs ncutsx and ncutsy, -#' which are x- and y-directional splits, respectively. -#' @author Insang Song -#' @param points_in sf object. -#' @param ncutsx integer(1). The number of splits along x-axis. -#' @param ncutsy integer(1). The number of splits along y-axis. -#' @export -sp_indexing <- function( - points_in, - ncutsx, - ncutsy) { - # pts <- data.table(pnts) - points_in <- points_in |> - dplyr::mutate(or_id = seq(1, dim(points_in)[1])) - - range_x <- range(points_in$x) - # limits_x <- (range_x[1] + seq(0, ncutsx) * (range_x[2] - range_x[1]) / ncutsx) - range_y <- range(points_in$y) - # limits_y <- (range_y[1] + seq(0, ncutsy) * (range_y[2] - range_y[1]) / ncutsy) - - points_in_cut <- points_in |> - dplyr::mutate(xcut = as.integer(cut(x, ncutsx, labels = seq(1, ncutsx))), - ycut = as.integer(cut(y, ncutsy, labels = seq(1, ncutsy)))) - - return(points_in_cut) -} diff --git a/R/processing.R b/R/processing.R index d1658ddf..123c3d03 100644 --- a/R/processing.R +++ b/R/processing.R @@ -5,14 +5,12 @@ #' @author Insang Song #' @param pnts sf or SpatVector object #' @param buffer_r numeric(1). buffer radius. this value will be automatically multiplied by 1.25 -#' @param nqsegs integer(1). the number of points per a quarter circle; SOON TO BE DEPRECATED #' @param target_input sf or SpatVector object to be clipped #' @return A clipped sf or SpatVector object. #' @export clip_as_extent <- function( pnts, buffer_r, - nqsegs = NULL, target_input) { if (any(sapply(list(pnts, buffer_r, target_input), is.null))) { stop("One or more required arguments are NULL. Please check.\n") @@ -22,9 +20,7 @@ clip_as_extent <- function( if (detected_pnts != detected_target) { warning("Inputs are not the same class.\n") - target_input <- switch(detected_target, - sf = terra::vect(target_input), - terra = sf::st_as_sf(target_input)) + target_input <- switch_packbound(target_input) } ext_input <- set_clip_extent(pnts, buffer_r) @@ -200,25 +196,30 @@ extract_with_buffer_kernel <- function( #' #' @description For simplicity, it is assumed that the coordinate systems of the points and the raster are the same. Kernel function is not yet implemented. #' @param polys sf/SpatVector object. Polygons. -#' @param surf stars/SpatRaster object. A raster of whatnot a summary will be calculated +#' @param surf SpatRaster object. A raster from which a summary will be calculated #' @param id character(1). Unique identifier of each point. -#' @param func a function taking one argument. For example, function(x) mean(x, na.rm = TRUE) or \(x) mode(x, na.rm = TRUE) +#' @param func a generic function name in string or a function taking two arguments that are +#' compatible with \code{\link[exactextractr](exact_extract)}. +#' For example, "mean" or or \code{\(x, w) weighted.mean(x, w, na.rm = TRUE)} #' @param na.rm logical(1). NA values are omitted when summary is calculated. +#' @param grid_ref A character or sf/SpatVector object. To subset \code{polys} in \code{distribute_*} functions. #' @return a data.frame object with function value #' @author Insang Song \email{geoissong@@gmail.com} #' @importFrom rlang sym #' @importFrom dplyr across +#' @import exactextractr #' @export extract_with_polygons <- function( polys, surf, id, - func = mean, - na.rm = TRUE + func = "mean", + na.rm = TRUE, + grid_ref = NULL ) { # type check stopifnot("Check class of the input points.\n" = any(methods::is(polys, "sf"), methods::is(polys, "SpatVector"))) - stopifnot("Check class of the input raster.\n" = any(methods::is(surf, "stars"), methods::is(surf, "SpatRaster"))) + stopifnot("Check class of the input raster.\n" = methods::is(surf, "SpatRaster")) stopifnot(is.character(id)) cls_polys <- check_packbound(polys) @@ -228,46 +229,25 @@ extract_with_polygons <- function( polys <- switch_packbound(polys) } - extract_with_polygons_sf <- function(polys, surf, id, func) { - extracted <- stars::st_extract(x = surf, at = polys, FUN = func) - # extracted = extracted |> - # group_by(!!sym(id)) |> - # summarize(across(-!!sym(id), ~func)) |> - # ungroup() - return(extracted) - } - - extract_with_polygons_terra <- function(polys, surf, id, func) { - extracted <- terra::extract(surf, polys, fun = func, ID = TRUE) - extracted$ID <- unlist(polys[[id]]) - colnames(extracted)[1] <- id - extracted <- extracted |> - dplyr::group_by(!!rlang::sym(id)) |> - dplyr::summarize(dplyr::across(-1, ~func)) |> - dplyr::ungroup() - return(extracted) + if (!is.null(grid_ref)) { + polys <- polys[grid_ref, ] } - extracted_poly <- switch( - cls_surf, - sf = extract_with_polygons_sf( - polys = polys, - surf = surf, - id = id, - func = func), - terra = extract_with_polygons_terra( - polys = polys, - surf = surf, - id = id, - func = func) - ) + extracted_poly <- + exactextractr::exact_extract( + x = surf, + y = sf::st_as_sf(polys), + fun = func, + force_df = TRUE, + append_cols = id + ) return(extracted_poly) } #' Extract raster values with point buffers or polygons #' -#' @param vector SpatVector object. +#' @param vector sf/SpatVector object. #' @param raster SpatRaster object. #' @param id character(1). Unique identifier of each point. #' @param func function taking one numeric vector argument. diff --git a/R/scale_process.R b/R/scale_process.R index 334e175a..0efc20f1 100644 --- a/R/scale_process.R +++ b/R/scale_process.R @@ -91,16 +91,6 @@ distribute_process_grid <- future.packages = c("terra", "sf", "dplyr", "scomps", "exactextractr")) results_distributed <- do.call(dplyr::bind_rows, results_distributed) - - # print(results_distributed) - # print(names(results_distributed)) - # results_distributed <- results_distributed[!is.na(unlist(results_distributed[[detected_id]])),] - - # post-processing - # names(results_distributed)[1] <- par_fun[[detected_id]] - # results_distributed[[par_fun[[detected_id]]]] <- - # unlist(par_fun[[detected_point]][[par_fun[[detected_id]]]]) - return(results_distributed) } @@ -144,11 +134,13 @@ distribute_process_grid <- #' @import future.apply #' @import progressr #' @export -distribute_process_hierarchy <- function( - regions, - split_level = NULL, - fun_dist, - ...) { +distribute_process_hierarchy <- + function( + regions, + split_level = NULL, + fun_dist, + ... + ) { par_fun <- list(...) if (!any(length(split_level) == 1, length(split_level) == nrow(regions))) { @@ -269,12 +261,6 @@ distribute_process_multirasters <- function( future.packages = c("terra", "sf", "dplyr", "scomps", "future")) results_distributed <- do.call(dplyr::bind_rows, results_distributed) - # results_distributed <- - # results_distributed[!is.na(results_distributed[["ID"]]), ] - # post-processing - # names(results_distributed)[1] <- par_fun[[detected_id]] - # results_distributed[[par_fun[[detected_id]]]] <- - # unlist(par_fun[[detected_point]][[par_fun[[detected_id]]]]) return(results_distributed) } diff --git a/man/clip_as_extent.Rd b/man/clip_as_extent.Rd index 00eaa5fa..945f2655 100644 --- a/man/clip_as_extent.Rd +++ b/man/clip_as_extent.Rd @@ -4,15 +4,13 @@ \alias{clip_as_extent} \title{Extent clipping} \usage{ -clip_as_extent(pnts, buffer_r, nqsegs = NULL, target_input) +clip_as_extent(pnts, buffer_r, target_input) } \arguments{ \item{pnts}{sf or SpatVector object} \item{buffer_r}{numeric(1). buffer radius. this value will be automatically multiplied by 1.25} -\item{nqsegs}{integer(1). the number of points per a quarter circle; SOON TO BE DEPRECATED} - \item{target_input}{sf or SpatVector object to be clipped} } \value{ diff --git a/man/extract_with.Rd b/man/extract_with.Rd index e953fb20..4278bc2b 100644 --- a/man/extract_with.Rd +++ b/man/extract_with.Rd @@ -14,7 +14,7 @@ extract_with( ) } \arguments{ -\item{vector}{SpatVector object.} +\item{vector}{sf/SpatVector object.} \item{raster}{SpatRaster object.} diff --git a/man/extract_with_polygons.Rd b/man/extract_with_polygons.Rd index ca56635e..37a96c5f 100644 --- a/man/extract_with_polygons.Rd +++ b/man/extract_with_polygons.Rd @@ -4,18 +4,29 @@ \alias{extract_with_polygons} \title{Extract summarized values from raster with generic polygons} \usage{ -extract_with_polygons(polys, surf, id, func = mean, na.rm = TRUE) +extract_with_polygons( + polys, + surf, + id, + func = "mean", + na.rm = TRUE, + grid_ref = NULL +) } \arguments{ \item{polys}{sf/SpatVector object. Polygons.} -\item{surf}{stars/SpatRaster object. A raster of whatnot a summary will be calculated} +\item{surf}{SpatRaster object. A raster from which a summary will be calculated} \item{id}{character(1). Unique identifier of each point.} -\item{func}{a function taking one argument. For example, function(x) mean(x, na.rm = TRUE) or \(x) mode(x, na.rm = TRUE)} +\item{func}{a generic function name in string or a function taking two arguments that are +compatible with \code{\link[exactextractr](exact_extract)}. +For example, "mean" or or \code{\(x, w) weighted.mean(x, w, na.rm = TRUE)}} \item{na.rm}{logical(1). NA values are omitted when summary is calculated.} + +\item{grid_ref}{A character or sf/SpatVector object. 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ncutsy, labels = seq(1, ncutsy)))) - - return(points_in_cut) -} ``` ```{r, send_to = "R/preprocessing.R"} @@ -1204,25 +1205,30 @@ extract_with_buffer_kernel <- function( #' #' @description For simplicity, it is assumed that the coordinate systems of the points and the raster are the same. Kernel function is not yet implemented. #' @param polys sf/SpatVector object. Polygons. -#' @param surf stars/SpatRaster object. A raster of whatnot a summary will be calculated +#' @param surf SpatRaster object. A raster from which a summary will be calculated #' @param id character(1). Unique identifier of each point. -#' @param func a function taking one argument. For example, function(x) mean(x, na.rm = TRUE) or \(x) mode(x, na.rm = TRUE) +#' @param func a generic function name in string or a function taking two arguments that are +#' compatible with \code{\link[exactextractr](exact_extract)}. +#' For example, "mean" or or \code{\(x, w) weighted.mean(x, w, na.rm = TRUE)} #' @param na.rm logical(1). NA values are omitted when summary is calculated. +#' @param grid_ref A character or sf/SpatVector object. To subset \code{polys} in \code{distribute_*} functions. #' @return a data.frame object with function value #' @author Insang Song \email{geoissong@@gmail.com} #' @importFrom rlang sym #' @importFrom dplyr across +#' @import exactextractr #' @export extract_with_polygons <- function( polys, surf, id, - func = mean, - na.rm = TRUE + func = "mean", + na.rm = TRUE, + grid_ref = NULL ) { # type check stopifnot("Check class of the input points.\n" = any(methods::is(polys, "sf"), methods::is(polys, "SpatVector"))) - stopifnot("Check class of the input raster.\n" = any(methods::is(surf, "stars"), methods::is(surf, "SpatRaster"))) + stopifnot("Check class of the input raster.\n" = methods::is(surf, "SpatRaster")) stopifnot(is.character(id)) cls_polys <- check_packbound(polys) @@ -1232,39 +1238,18 @@ extract_with_polygons <- function( polys <- switch_packbound(polys) } - extract_with_polygons_sf <- function(polys, surf, id, func) { - extracted <- stars::st_extract(x = surf, at = polys, FUN = func) - # extracted = extracted |> - # group_by(!!sym(id)) |> - # summarize(across(-!!sym(id), ~func)) |> - # ungroup() - return(extracted) - } - - extract_with_polygons_terra <- function(polys, surf, id, func) { - extracted <- terra::extract(surf, polys, fun = func, ID = TRUE) - extracted$ID <- unlist(polys[[id]]) - colnames(extracted)[1] <- id - extracted <- extracted |> - dplyr::group_by(!!rlang::sym(id)) |> - dplyr::summarize(dplyr::across(-1, ~func)) |> - dplyr::ungroup() - return(extracted) + if (!is.null(grid_ref)) { + polys <- polys[grid_ref, ] } - extracted_poly <- switch( - cls_surf, - sf = extract_with_polygons_sf( - polys = polys, - surf = surf, - id = id, - func = func), - terra = extract_with_polygons_terra( - polys = polys, - surf = surf, - id = id, - func = func) - ) + extracted_poly <- + exactextractr::exact_extract( + x = surf, + y = sf::st_as_sf(polys), + fun = func, + force_df = TRUE, + append_cols = id + ) return(extracted_poly) } @@ -1273,7 +1258,7 @@ extract_with_polygons <- function( ```{r, send_to = "R/processing.R"} #' Extract raster values with point buffers or polygons #' -#' @param vector SpatVector object. +#' @param vector sf/SpatVector object. #' @param raster SpatRaster object. #' @param id character(1). Unique identifier of each point. #' @param func function taking one numeric vector argument. @@ -1725,16 +1710,6 @@ distribute_process_grid <- future.packages = c("terra", "sf", "dplyr", "scomps", "exactextractr")) results_distributed <- do.call(dplyr::bind_rows, results_distributed) - - # print(results_distributed) - # print(names(results_distributed)) - # results_distributed <- results_distributed[!is.na(unlist(results_distributed[[detected_id]])),] - - # post-processing - # names(results_distributed)[1] <- par_fun[[detected_id]] - # results_distributed[[par_fun[[detected_id]]]] <- - # unlist(par_fun[[detected_point]][[par_fun[[detected_id]]]]) - return(results_distributed) } @@ -1778,11 +1753,13 @@ distribute_process_grid <- #' @import future.apply #' @import progressr #' @export -distribute_process_hierarchy <- function( - regions, - split_level = NULL, - fun_dist, - ...) { +distribute_process_hierarchy <- + function( + regions, + split_level = NULL, + fun_dist, + ... + ) { par_fun <- list(...) if (!any(length(split_level) == 1, length(split_level) == nrow(regions))) { @@ -1903,12 +1880,6 @@ distribute_process_multirasters <- function( future.packages = c("terra", "sf", "dplyr", "scomps", "future")) results_distributed <- do.call(dplyr::bind_rows, results_distributed) - # results_distributed <- - # results_distributed[!is.na(results_distributed[["ID"]]), ] - # post-processing - # names(results_distributed)[1] <- par_fun[[detected_id]] - # results_distributed[[par_fun[[detected_id]]]] <- - # unlist(par_fun[[detected_point]][[par_fun[[detected_id]]]]) return(results_distributed) } @@ -1924,7 +1895,6 @@ testthat::test_that("Processes are properly spawned and compute", { withr::local_package("sf") withr::local_package("future") withr::local_package("dplyr") - withr::local_package("scomps") withr::local_options(list(sf_use_s2 = FALSE)) ncpath <- system.file("shape/nc.shp", package = "sf") @@ -1965,6 +1935,42 @@ testthat::test_that("Processes are properly spawned and compute", { }) +``` + +```{r test-runhierarchy, eval = FALSE} +testthat::test_that("Processes are properly spawned and compute over hierarchy", { + withr::local_package("terra") + withr::local_package("sf") + withr::local_package("future") + withr::local_package("dplyr") + withr::local_options(list(sf_use_s2 = FALSE)) + + ncpath <- testthat::test_path("..", "testdata", "nc_hierarchy.gpkg") + nccnty <- terra::vect(ncpath, layer = "county") + nctrct <- terra::vect(ncpath, layer = "tracts") + ncelev <- terra::unwrap(readRDS( + testthat::test_path("..", "testdata", "nc_srtm15_otm.rds"))) + terra::crs(ncelev) <- "EPSG:5070" + names(ncelev) <- c("srtm15") + + res <- + suppressWarnings( + distribute_process_hierarchy( + regions = nccnty, + split_level = "GEOID", + fun_dist = extract_with_polygons, + polys = nctrct, + surf = ncelev, + id = "GEOID", + func = "mean") + ) + + testthat::expect_s3_class(res, "data.frame") + testthat::expect_equal(!any(is.na(unlist(res))), TRUE) +}) + + + ``` ```{r, 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