From 44de531fcab8332305b934d8260dba4ec8ac1434 Mon Sep 17 00:00:00 2001 From: Insang Song Date: Mon, 18 Dec 2023 13:01:41 -0500 Subject: [PATCH] Test diff cov fix - Multirasters tests are not detected by codecov? --- DESCRIPTION | 4 +- R/scale_process.R | 2 + figure/generate-compregion-1.png | Bin 0 -> 18683 bytes figure/load-srtm-1.png | Bin 0 -> 96421 bytes figure/point-generation-1.png | Bin 0 -> 41753 bytes figure/unnamed-chunk-3-1.png | Bin 0 -> 35817 bytes figure/vis-results-1.png | Bin 0 -> 102891 bytes figure/vis-results-2.png | Bin 0 -> 102662 bytes scomps_rmarkdown_litr.html | 26 +- scomps_rmarkdown_litr.rmd | 8 +- tests/testthat/tests.R | 2 + tools/tarballs/scomps_0.1.1.12192023.tar.gz | Bin 0 -> 33017 bytes tools/testdata/ncroads_first.gpkg | Bin 0 -> 2535424 bytes .../v02_distribute_process_original.Rmd.orig | 104 ++++++- tools/vignettes-sources/v03_extract_with.Rmd | 9 + tools/vignettes-sources/v04_calc_sedc.Rmd | 35 +++ .../figure/figure/generate-compregion-1.png | Bin 6213 -> 18683 bytes vignettes/figure/figure/load-srtm-1.png | Bin 64254 -> 96421 bytes .../figure/figure/point-generation-1.png | Bin 23531 -> 41753 bytes vignettes/figure/figure/unnamed-chunk-3-1.png | Bin 16166 -> 35817 bytes vignettes/figure/figure/vis-results-1.png | Bin 94175 -> 102891 bytes vignettes/figure/figure/vis-results-2.png | Bin 94497 -> 102662 bytes ...ess.Rmd => v02_distribute_process_ext.Rmd} | 280 +++++++++++++++--- 23 files changed, 408 insertions(+), 62 deletions(-) create mode 100644 figure/generate-compregion-1.png create mode 100644 figure/load-srtm-1.png create mode 100644 figure/point-generation-1.png create mode 100644 figure/unnamed-chunk-3-1.png create mode 100644 figure/vis-results-1.png create mode 100644 figure/vis-results-2.png create mode 100644 tools/tarballs/scomps_0.1.1.12192023.tar.gz create mode 100644 tools/testdata/ncroads_first.gpkg create mode 100644 tools/vignettes-sources/v03_extract_with.Rmd create mode 100644 tools/vignettes-sources/v04_calc_sedc.Rmd rename vignettes/{v02_distribute_process.Rmd => v02_distribute_process_ext.Rmd} (54%) diff --git a/DESCRIPTION b/DESCRIPTION index 9ce6b2a6..914d536b 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: scomps Title: Scalable R geospatial computation -Version: 0.1.1.12152023 +Version: 0.1.1.12192023 Authors@R: person("Insang", "Song", , "geoissong@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8732-3256")) @@ -33,4 +33,4 @@ Suggests: VignetteBuilder: knitr Config/testthat/edition: 3 LitrVersionUsed: 0.9.0 -LitrId: 81666995d76fe29d4d2a16477742c9eb +LitrId: 7aaf35ea9a4ab72b74d998b76280d9a7 diff --git a/R/scale_process.R b/R/scale_process.R index e2b4ca58..43a007f8 100644 --- a/R/scale_process.R +++ b/R/scale_process.R @@ -117,6 +117,8 @@ distribute_process_grid <- if ("id" %in% names(formals(fun_dist))) { detected_id <- list(...) detected_id <- detected_id$id + } else { + detected_id <- "id" } 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a/scomps_rmarkdown_litr.html +++ b/scomps_rmarkdown_litr.html @@ -11,7 +11,7 @@ - + Creating the scomps R package @@ -353,7 +353,7 @@

Creating the scomps R package

Insang Song

-

2023-12-15

+

2023-12-18

@@ -368,7 +368,7 @@

Package setup

path = ".", fields = list( Package = params$package_name, - Version = "0.1.1.12152023", + Version = "0.1.1.12192023", Title = "Scalable R geospatial computation", Description = "A package for scalable geospatial computation for environmental health research", `Authors@R` = person( @@ -2297,6 +2297,8 @@

Create functions

if ("id" %in% names(formals(fun_dist))) { detected_id <- list(...) detected_id <- detected_id$id + } else { + detected_id <- "id" } colnames(fallback)[1] <- detected_id return(fallback) @@ -2803,6 +2805,8 @@

Create functions

func = "mean" ) ) + testthat::expect_s3_class(res, "data.frame") + testthat::expect_true(!anyNA(res)) testfiles_corrupted <- c(testfiles, "/home/runner/fallin.tif") testthat::expect_warning( @@ -2902,6 +2906,7 @@

Documenting the package and building

## Writing 'distribute_process_multirasters.Rd' ## Writing 'switch_packbound.Rd' ## Writing 'validate_and_repair_vectors.Rd' +

[1] TRUE

── R CMD build ───────────────────────────────────────────────────────────────── * checking for file @@ -2910,11 +2915,11 @@

Documenting the package and building

installing the package to build vignettes * creating vignettes … OK * checking for LF line-endings in source and make files and shell scripts * checking for empty or unneeded directories * building -‘scomps_0.1.1.12152023.tar.gz’ Warning: invalid uid value replaced by +‘scomps_0.1.1.12192023.tar.gz’ Warning: invalid uid value replaced by that for user ‘nobody’ Warning: invalid gid value replaced by that for user ‘nobody’

[1] -“/Users/songi2/Documents/GitHub/Scalable_GIS/scomps_0.1.1.12152023.tar.gz”

+“/Users/songi2/Documents/GitHub/Scalable_GIS/scomps_0.1.1.12192023.tar.gz”

/Users/songi2/Documents/GitHub/Scalable_GIS/scomps

[1] “/Users/songi2/Documents/GitHub/Scalable_GIS/scomps”

# here we return to the current working directory "you see"
@@ -2932,6 +2937,7 @@ 

Documenting the package and building

devtools::install(build = FALSE, dependencies = FALSE, build_vignettes = TRUE, quick = TRUE)
+
## [1] TRUE
## ── R CMD build ─────────────────────────────────────────────────────────────────
 ## * checking for file ‘/Users/songi2/Documents/GitHub/Scalable_GIS/scomps/DESCRIPTION’ ... OK
 ## * preparing ‘scomps’:
@@ -2940,11 +2946,17 @@ 

Documenting the package and building

## * creating vignettes ... OK ## * checking for LF line-endings in source and make files and shell scripts ## * checking for empty or unneeded directories -## * building ‘scomps_0.1.1.12152023.tar.gz’ +## * building ‘scomps_0.1.1.12192023.tar.gz’ ## Warning: invalid uid value replaced by that for user 'nobody' ## Warning: invalid gid value replaced by that for user 'nobody'
-
## [1] "/Users/songi2/Documents/GitHub/Scalable_GIS/scomps_0.1.1.12152023.tar.gz"
+
## [1] "/Users/songi2/Documents/GitHub/Scalable_GIS/scomps_0.1.1.12192023.tar.gz"
+
## sf (1.0-14 -> 1.0-15) [CRAN]
+
## Installing 1 packages: sf
+
## Installing package into '/Users/songi2/Library/R/arm64/4.3/library'
+## (as 'lib' is unspecified)
## 
+## The downloaded binary packages are in
+##  /var/folders/58/7rn_bn5d6k3_cxwnzdhswpz4n0z2n9/T//RtmptTZeUl/downloaded_packages
 ## Running /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL \
 ##   /Users/songi2/Documents/GitHub/Scalable_GIS/scomps --install-tests \
 ##   --no-docs --no-multiarch --no-demo 
diff --git a/scomps_rmarkdown_litr.rmd b/scomps_rmarkdown_litr.rmd
index 82dcff07..3ca38f79 100644
--- a/scomps_rmarkdown_litr.rmd
+++ b/scomps_rmarkdown_litr.rmd
@@ -1,7 +1,7 @@
 ---
 title: "Creating the ``r params$package_name`` R package"
 author: "Insang Song"
-date: "2023-12-15"
+date: "2023-12-18"
 knit: litr::render
 output: litr::litr_html_document
 params:
@@ -21,7 +21,7 @@ usethis::create_package(
   path = ".",
   fields = list(
     Package = params$package_name,
-    Version = "0.1.1.12152023",
+    Version = "0.1.1.12192023",
     Title = "Scalable R geospatial computation",
     Description = "A package for scalable geospatial computation for environmental health research",
     `Authors@R` = person(
@@ -2171,6 +2171,8 @@ distribute_process_grid <-
             if ("id" %in% names(formals(fun_dist))) {
               detected_id <- list(...)
               detected_id <- detected_id$id
+            } else {
+              detected_id <- "id"
             }
             colnames(fallback)[1] <- detected_id
             return(fallback)
@@ -2691,6 +2693,8 @@ testthat::test_that("Processes are properly spawned and compute over multiraster
       func = "mean"
     )
   )
+  testthat::expect_s3_class(res, "data.frame")
+  testthat::expect_true(!anyNA(res))
 
   testfiles_corrupted <- c(testfiles, "/home/runner/fallin.tif")
   testthat::expect_warning(
diff --git a/tests/testthat/tests.R b/tests/testthat/tests.R
index 35d29327..9a596117 100644
--- a/tests/testthat/tests.R
+++ b/tests/testthat/tests.R
@@ -854,6 +854,8 @@ testthat::test_that("Processes are properly spawned and compute over multiraster
       func = "mean"
     )
   )
+  testthat::expect_s3_class(res, "data.frame")
+  testthat::expect_true(!anyNA(res))
 
   testfiles_corrupted <- c(testfiles, "/home/runner/fallin.tif")
   testthat::expect_warning(
diff --git a/tools/tarballs/scomps_0.1.1.12192023.tar.gz b/tools/tarballs/scomps_0.1.1.12192023.tar.gz
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diff --git a/tools/testdata/ncroads_first.gpkg b/tools/testdata/ncroads_first.gpkg
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successfully run at CGRIDID: 3 +## successfully run at CGRIDID: 3 ## Your input function was -## successfully run at CGRIDID: 4 +## successfully run at CGRIDID: 4 ## Your input function was -## successfully run at CGRIDID: 5 +## successfully run at CGRIDID: 5 ## Your input function was -## successfully run at CGRIDID: 6 +## successfully run at CGRIDID: 6 ## Your input function was -## successfully run at CGRIDID: 7 +## successfully run at CGRIDID: 7 ## Your input function was -## successfully run at CGRIDID: 8 +## successfully run at CGRIDID: 8 ## Your input function was -## successfully run at CGRIDID: 9 +## successfully run at CGRIDID: 9 ## Your input function was -## successfully run at CGRIDID: 10 +## successfully run at CGRIDID: 10 ## Your input function was -## successfully run at CGRIDID: 11 +## successfully run at CGRIDID: 11 ## Your input function was -## successfully run at CGRIDID: 12 +## successfully run at CGRIDID: 12 ## Your input function was -## successfully run at CGRIDID: 13 +## successfully run at CGRIDID: 13 ## Your input function was -## successfully run at CGRIDID: 14 +## successfully run at CGRIDID: 14 ## Your input function was -## successfully run at CGRIDID: 15 +## successfully run at CGRIDID: 15 ## Your input function was -## successfully run at CGRIDID: 16 +## successfully run at CGRIDID: 16 ## Your input function was -## successfully run at CGRIDID: 17 +## successfully run at CGRIDID: 17 ## Your input function was -## successfully run at CGRIDID: 18 +## successfully run at CGRIDID: 18 ## Your input function was -## successfully run at CGRIDID: 19 +## successfully run at CGRIDID: 19 ## Your input function was -## successfully run at CGRIDID: 20 +## successfully run at CGRIDID: 20 ## Your input function was -## successfully run at CGRIDID: 21 +## successfully run at CGRIDID: 21 ## Your input function was -## successfully run at CGRIDID: 22 +## successfully run at CGRIDID: 22 ## Your input function was -## successfully run at CGRIDID: 23 +## successfully run at CGRIDID: 23 ## Your input function was -## successfully run at CGRIDID: 24 +## successfully run at CGRIDID: 24 ## Your input function was -## successfully run at CGRIDID: 25 +## successfully run at CGRIDID: 25 ## Your input function was -## successfully run at CGRIDID: 26 +## successfully run at CGRIDID: 26 ## Your input function was -## successfully run at CGRIDID: 27 +## successfully run at CGRIDID: 27 ## Your input function was -## successfully run at CGRIDID: 28 +## successfully run at CGRIDID: 28 ## Your input function was -## successfully run at CGRIDID: 29 +## successfully run at CGRIDID: 29 ## Your input function was -## successfully run at CGRIDID: 30 +## successfully run at CGRIDID: 30 ## Your input function was -## successfully run at CGRIDID: 31 +## successfully run at CGRIDID: 31 ## Your input function was -## successfully run at CGRIDID: 32 +## successfully run at CGRIDID: 32 ## Your input function was -## successfully run at CGRIDID: 33 +## successfully run at CGRIDID: 33 ``` ``` ## user system elapsed -## 0.100 0.050 2.564 +## 6.558 1.304 3.540 ``` @@ -275,9 +275,8 @@ all.equal(ncpoints_srtm, ncpoints_srtm_mthr) ``` ``` -## [1] "Attributes: < Component \"row.names\": Numeric: lengths (10000, 9998) differ >" -## [2] "Component \"pid\": Numeric: lengths (10000, 9998) differ" -## [3] "Component \"mean\": Numeric: lengths (10000, 9998) differ" +## [1] "Attributes: < Component \"row.names\": Mean relative difference: 0.6567904 >" +## [2] "Component \"mean\": Mean relative difference: 8.712634e-05" ``` Let's find what the results look like. @@ -304,18 +303,47 @@ plot(ncpoints_m[, "mean"], main = "Multi-thread") ## Distribute computation through geographic hierarchy - We consider "hierarchy," which is usually embedded in many geospatial datasets. Suppose we want to summarize elevation across census geographies in North Carolina. The census geographies are highly organized in order; think of state, counties, zip code areas, census tracts, block groups, and blocks. Some of these are exhaustive to the higher order geographies (e.g., census block groups are exhaustively delineated in a census tract), whereas some do not (not all zip code areas are exhaustively covered by a county). -- In this example, we consider +- In this example, we consider census tracts and counties to distribute the computation task for mean elevation values at census tracts over counties. ```r -nc_county <- tigris::counties(state = "NC", cb = TRUE, year = 2020) -nc_tracts <- tigris::tracts(cb = TRUE, state = "NC", year = 2020) +nc_county <- file.path("../testdata/nc_hierarchy.gpkg") +nc_county <- sf::st_read(nc_county, layer = "county") +``` + +``` +## Reading layer `county' from data source +## `/Users/songi2/Documents/GitHub/Scalable_GIS/tools/testdata/nc_hierarchy.gpkg' +## using driver `GPKG' +## Simple feature collection with 100 features and 1 field +## Geometry type: POLYGON +## Dimension: XY +## Bounding box: xmin: 1054155 ymin: 1341756 xmax: 1838923 ymax: 1690176 +## Projected CRS: NAD83 / Conus Albers +``` +```r +nc_tracts <- file.path("../testdata/nc_hierarchy.gpkg") +nc_tracts <- sf::st_read(nc_tracts, layer = "tracts") +``` + +``` +## Reading layer `tracts' from data source +## `/Users/songi2/Documents/GitHub/Scalable_GIS/tools/testdata/nc_hierarchy.gpkg' +## using driver `GPKG' +## Simple feature collection with 2672 features and 1 field +## Geometry type: MULTIPOLYGON +## Dimension: XY +## Bounding box: xmin: 1054155 ymin: 1341756 xmax: 1838923 ymax: 1690176 +## Projected CRS: NAD83 / Conus Albers +``` + +```r nc_county <- sf::st_transform(nc_county, "EPSG:5070") nc_tracts <- sf::st_transform(nc_tracts, "EPSG:5070") nc_tracts$COUNTY <- - paste0(nc_tracts$STATEFP, nc_tracts$COUNTYFP) + substr(nc_tracts$GEOID, 1, 5) ``` ## Single-thread processing @@ -334,7 +362,7 @@ system.time( ``` ## user system elapsed -## 0.754 0.030 0.785 +## 0.992 0.033 1.026 ``` ## Multi-thread processing through hierarchy @@ -357,7 +385,169 @@ system.time( ``` ## user system elapsed -## 0.028 0.010 0.246 +## 0.021 0.015 1.285 ``` It is clearly shown that several thousands of features may not get benefits from parallel processing. However, this approach will be helpful when each geographic area is large and the raster data is too large to handle. + + + +## Multi-thread processing over large rasters + +In many cases users have parallelized over multiple files, i.e., large raster files. Leveraging memory-saving `terra`'s C++ pointers, users will want to use `distribute_process_multirasters`, where they are assumed to have the raster file paths to distribute. In standard vector-raster overlays, `distribute_process_multirasters` will help especially when users have multiple sizable raster files to extract values with moderately sized vectors. + + + +```r +ncpath <- "../testdata/nc_hierarchy.gpkg" +nccnty <- terra::vect(ncpath, layer = "county") +ncelev <- terra::unwrap(readRDS("../testdata/nc_srtm15_otm.rds")) +terra::crs(ncelev) <- "EPSG:5070" +names(ncelev) <- c("srtm15") +tdir <- tempdir() +terra::writeRaster(ncelev, file.path(tdir, "test1.tif"), overwrite = TRUE) +terra::writeRaster(ncelev, file.path(tdir, "test2.tif"), overwrite = TRUE) +terra::writeRaster(ncelev, file.path(tdir, "test3.tif"), overwrite = TRUE) +terra::writeRaster(ncelev, file.path(tdir, "test4.tif"), overwrite = TRUE) +terra::writeRaster(ncelev, file.path(tdir, "test5.tif"), overwrite = TRUE) + +testfiles <- list.files(tempdir(), pattern = "*.tif$", full.names = TRUE) +testfiles +``` + +``` +## [1] "/var/folders/58/7rn_bn5d6k3_cxwnzdhswpz4n0z2n9/T//Rtmp1SCbAI/test1.tif" +## [2] "/var/folders/58/7rn_bn5d6k3_cxwnzdhswpz4n0z2n9/T//Rtmp1SCbAI/test2.tif" +## [3] "/var/folders/58/7rn_bn5d6k3_cxwnzdhswpz4n0z2n9/T//Rtmp1SCbAI/test3.tif" +## [4] "/var/folders/58/7rn_bn5d6k3_cxwnzdhswpz4n0z2n9/T//Rtmp1SCbAI/test4.tif" +## [5] "/var/folders/58/7rn_bn5d6k3_cxwnzdhswpz4n0z2n9/T//Rtmp1SCbAI/test5.tif" +``` + + + +```r +res <- distribute_process_multirasters( + filenames = testfiles, + fun_dist = extract_with_polygons, + polys = nccnty, + surf = ncelev, + id = "GEOID", + func = "mean" + ) + +knitr::kable(head(res)) +``` + + + +|GEOID | mean| +|:-----|---------:| +|37037 | 136.80203| +|37001 | 189.76170| +|37057 | 231.16968| +|37069 | 98.03845| +|37155 | 41.23463| +|37109 | 270.96933| + +## Distributing sf/terra functions + +Users also can pass generic terra functions to multiple threads. + +Some considerations apply: +- If a function to calculate the nearest distance, edge cases may present especially when the target dataset are too sparse to be located in the padded calculation extent. For example, when users want to distribute `terra::nearest()` to calculate the nearest distance from ranch locations to the primary roads, some ranch locations might have no destination primary roads if the calculation grids are too finely defined. +- We strongly assume that users have unique identifiers in input data. The passed argument in `distribute_process_*` functions is expected to include `id` argument to designate the origin locations' unique identifiers. + + +### Example +- The example below shows how to distribute a `terra` function `nearest` is distributed over regular computational grids. + + + +```r +pnts <- readRDS("../testdata/nc_random_point.rds") +pnts <- terra::vect(pnts) +rd1 <- terra::vect( + file.path("../testdata/ncroads_first.gpkg")) + +pnts <- terra::project(pnts, "EPSG:5070") +rd1 <- terra::project(rd1, "EPSG:5070") + + +nccompreg <- + get_computational_regions( + input = pnts, + mode = "grid", + nx = 6L, + ny = 4L, + padding = 3e4L) + +future::plan(future::multicore, workers = 6L) + +system.time( +res <- + distribute_process_grid( + grids = nccompreg, + fun_dist = terra::nearest, + x = pnts, + y = rd1) +) +``` + +``` +## Your input function was +## successfully run at CGRIDID: 1 +## Your input function was +## successfully run at CGRIDID: 2 +## Your input function was +## successfully run at CGRIDID: 3 +## Your input function was +## successfully run at CGRIDID: 4 +## Your input function was +## successfully run at CGRIDID: 5 +## Your input function was +## successfully run at CGRIDID: 6 +## Your input function was +## successfully run at CGRIDID: 7 +## Your input function was +## successfully run at CGRIDID: 8 +## Your input function was +## successfully run at CGRIDID: 9 +## Your input function was +## successfully run at CGRIDID: 10 +## Your input function was +## successfully run at CGRIDID: 11 +## Your input function was +## successfully run at CGRIDID: 12 +## Your input function was +## successfully run at CGRIDID: 13 +## Your input function was +## successfully run at CGRIDID: 14 +## Your input function was +## successfully run at CGRIDID: 15 +## Your input function was +## successfully run at CGRIDID: 16 +## Your input function was +## successfully run at CGRIDID: 17 +## Your input function was +## successfully run at CGRIDID: 18 +## Your input function was +## successfully run at CGRIDID: 19 +## Your input function was +## successfully run at CGRIDID: 20 +``` + +``` +## user system elapsed +## 0.311 0.266 0.197 +``` + +```r +system.time( + restr <- terra::nearest(x = pnts, y = rd1) +) +``` + +``` +## user system elapsed +## 0.034 0.001 0.036 +```

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