From c1fa1eff7cc24be41720449062ca1656c1f48515 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Tue, 28 Nov 2023 16:06:27 -0500 Subject: [PATCH 01/23] #196 compute fraction of NLCD classes (.R file) and test around monitors (vignette) --- R/extract_nlcd_ratio.R | 88 +++++++++++++++++++ vignettes/extract_nlcd_ratio_monitors.Rmd | 100 ++++++++++++++++++++++ 2 files changed, 188 insertions(+) create mode 100644 R/extract_nlcd_ratio.R create mode 100644 vignettes/extract_nlcd_ratio_monitors.Rmd diff --git a/R/extract_nlcd_ratio.R b/R/extract_nlcd_ratio.R new file mode 100644 index 00000000..335a3547 --- /dev/null +++ b/R/extract_nlcd_ratio.R @@ -0,0 +1,88 @@ +# needs terra and exactextractr + +nlcd_classes <- list(value = c(0, 11, 21, 22, 23, 24, 31, 41, 42, 43, 52, + 71, 81, 82, 90, 95), + class = c("Unc", "WTR", "OSD", "LID", "MID", "HID", + "BRN", "DFO", "EFO", "MFO", "SHB", + "GRS", "PAS", "CRP", "WDW", "EHW"), + names = c("Unclassified", + "Open Water", + "Developed, Open Space", + "Developed, Low Intensity", + "Developed, Medium Intensity", + "Developed, High Intensity", + "Barren Land", + "Deciduous Forest", + "Evergreen Forest", + "Mixed Forest", + "Shrub/Scrub", + "Herbaceous", + "Hay/Pasture", + "Cultivated Crops", + "Woody Wetlands", + "Emergent Herbaceous Wetlands"), + col = c("white", "#476ba1", "#decaca", "#d99482", "#ee0000", + "#ab0000", "#b3aea3", "#68ab63", "#1c6330", + "#b5ca8f", "#ccba7d", "#e3e3c2", "#dcd93d", + "#ab7028", "#bad9eb", "#70a3ba")) +nlcd_classes <- as.data.frame(nlcd_classes) + +#' Compute land cover classes ratio in circle buffers around points +#' +#' @param data_vect terra::SpatVector of points geometry +#' @param nlcd national land cover dataset as a terra::SpatRaster +#' @param buf_radius numeric giving the radius of buffer around points +#' @export +add_nlcd_class_ratio <- function(data_vect, + buf_radius = 1000, + year = 2021) { + + # open nlcd file corresponding to the year + nlcd_file <- list.files("../input/nlcd/raw/", + pattern = paste0("nlcd_", year, "_.*.img"), + full.names = TRUE) + nlcd <- rast(nlcd_file) + + # reproject on nlcd crs if necessary + data_vect_b <- data_vect + if (!same.crs(data_vect_b, nlcd)) { + data_vect_b <- project(data_vect_b, crs(nlcd)) + } + + # create circle buffers with buf_radius + bufs_pol <- terra::buffer(data_vect_b, width = buf_radius) + bufs_pol <- sf::st_as_sf(bufs_pol) + + # crop nlcd raster + extent <- terra::ext(bufs_pol) + nlcd_cropped <- terra::crop(nlcd, extent) + + # ratio of each nlcd class per buffer + nlcd_at_bufs <- exact_extract(nlcd_cropped, + st_geometry(bufs_pol), + fun = "frac", + stack_apply = T, + progress = F) + + # select only the columns of interest + nlcd_at_bufs <- nlcd_at_bufs[names(nlcd_at_bufs)[grepl("frac_", + names(nlcd_at_bufs))]] + # change column names + nlcd_names <- names(nlcd_at_bufs) %>% + sub("frac_", "", .) %>% + as.numeric() + nlcd_names[match(nlcd_names, nlcd_classes$value)] <- nlcd_classes$class + new_names <- sapply( + nlcd_names, + function(x) { + paste0("frac_", x, "_", year, "_", buf_radius, "m") + } + ) + names(nlcd_at_bufs) <- new_names + # merge data_vect with nlcd classes fractions (and reproject) + new_data_vect <- cbind(data_vect_b, nlcd_at_bufs) %>% + project(., crs(data_vect)) + + return(new_data_vect) +} + diff --git a/vignettes/extract_nlcd_ratio_monitors.Rmd b/vignettes/extract_nlcd_ratio_monitors.Rmd new file mode 100644 index 00000000..8c0ef735 --- /dev/null +++ b/vignettes/extract_nlcd_ratio_monitors.Rmd @@ -0,0 +1,100 @@ +--- +title: "NLCD ratio: example in RTP area" +output: html_document +date: "2023-11-27" +--- + +```{r, message=F} +pkgs <- c("terra", + "exactextractr", + "tidyverse", + "data.table", + "sf") +sapply(pkgs, library, character.only = TRUE) +``` + +Open NLCD data + +```{r} +nlcd_2019 <- rast("../input/nlcd/raw/nlcd_2019_land_cover_l48_20210604.img") +nlcd_2021 <- rast("../input/nlcd/raw/nlcd_2021_land_cover_l48_20230630.img") +plot(nlcd_2019) +plot(nlcd_2021) +``` + +Open monitors data + +```{r} +#path_aqs <- "/ddn/gs1/group/set/Projects/NRT-AP-Model/input/aqs/" +path_aqs <- "/Volumes/set/Projects/NRT-AP-Model/input/aqs/" +aqs_mon <- fread(paste0(path_aqs, "aqs_monitors.csv")) +aqs_mon <- aqs_mon[`Parameter Code`==88101,] # PM2.5 monitors only + +``` + +Process monitors + +```{r} +aqs_mon <- aqs_mon %>% + rename(lon = Longitude) %>% + rename(lat = Latitude) + +source("/Volumes/set/Projects/NRT-AP-Model/R/manipulate_spacetime_data.R") +a <- project_dt(aqs_mon[Datum == "NAD83"], "EPSG:4269", "EPSG:4326") +a$lon_ori <- NULL +a$lat_ori <- NULL +b <- aqs_mon[Datum != "NAD83"] +aqs_mon <- rbind(a, b) %>% + terra::vect(., + geom = c("lon", "lat"), + crs = "EPSG:4326", + keepgeom = FALSE) +``` + +NLCD classes + +```{r} +nlcd_classes <- list(value = c(0, 11, 21, 22, 23, 24, 31, 41, 42, 43, 52, + 71, 81, 82, 90, 95), + class = c("Unc", "WTR", "OSD", "LID", "MID", "HID", + "BRN", "DFO", "EFO", "MFO", "SHB", + "GRS", "PAS", "CRP", "WDW", "EHW"), + names = c("Unclassified", + "Open Water", + "Developed, Open Space", + "Developed, Low Intensity", + "Developed, Medium Intensity", + "Developed, High Intensity", + "Barren Land", + "Deciduous Forest", + "Evergreen Forest", + "Mixed Forest", + "Shrub/Scrub", + "Herbaceous", + "Hay/Pasture", + "Cultivated Crops", + "Woody Wetlands", + "Emergent Herbaceous Wetlands"), + col = c("white", "#476ba1", "#decaca", "#d99482", "#ee0000", + "#ab0000", "#b3aea3", "#68ab63", "#1c6330", + "#b5ca8f", "#ccba7d", "#e3e3c2", "#dcd93d", + "#ab7028", "#bad9eb", "#70a3ba")) +nlcd_classes <- as.data.frame(nlcd_classes) +``` + + +Compute NLCD ratio in 1km buffers + +```{r} +source("../R/extract_nlcd_ratio.R") + +# check that unit is in meters +linearUnits(nlcd_2019) +same.crs(nlcd_2019, nlcd_2021) + +aqs_mon_nlcd <- add_nlcd_class_ratio(data_vect = aqs_mon, + buf_radius = 1000, + year = 2019) +``` + + From 13563c47a325a3d18dfaa7732fc2f9bfa68da711 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Fri, 1 Dec 2023 15:45:06 -0500 Subject: [PATCH 02/23] #196 test the function and apply function on monitors data (year 2021 and 150m buffer) --- R/extract_nlcd_ratio.R | 48 ++++++++-- tests/testthat/test-extract-nlcd-ratio.R | 60 ++++++++++++ vignettes/extract_nlcd_ratio_monitors.Rmd | 106 +++++++++++++--------- 3 files changed, 164 insertions(+), 50 deletions(-) create mode 100644 tests/testthat/test-extract-nlcd-ratio.R diff --git a/R/extract_nlcd_ratio.R b/R/extract_nlcd_ratio.R index 335a3547..07cdc3f8 100644 --- a/R/extract_nlcd_ratio.R +++ b/R/extract_nlcd_ratio.R @@ -1,4 +1,4 @@ -# needs terra and exactextractr +# needs terra, exactextractr, spData nlcd_classes <- list(value = c(0, 11, 21, 22, 23, 24, 31, 41, 42, 43, 52, 71, 81, 82, 90, 95), @@ -37,14 +37,41 @@ add_nlcd_class_ratio <- function(data_vect, buf_radius = 1000, year = 2021) { + # check inputs + if (!is.numeric(buf_radius)){ + stop("buf_radius is not a numeric.") + } + if (buf_radius <= 0) { + stop("buf_radius has not a likely value.") + } + if (!is.numeric(year)){ + stop("year is not a numeric.") + } + if (class(data_vect)[1] != "SpatVector") { + stop("data_vect is not a terra::SpatVector") + } + # open nlcd file corresponding to the year - nlcd_file <- list.files("../input/nlcd/raw/", - pattern = paste0("nlcd_", year, "_.*.img"), + #nlcd_file <- list.files("../input/nlcd/raw/", + # pattern = paste0("nlcd_", year, "_.*.img"), + # full.names = TRUE) + nlcd_file <- list.files("/Volumes/set/NLCD/", + pattern = paste0("nlcd_", year, "_.*.tif$"), full.names = TRUE) + if (length(nlcd_file) == 0) { + stop("NLCD data not available for this year.") + } nlcd <- rast(nlcd_file) - # reproject on nlcd crs if necessary - data_vect_b <- data_vect + # select points within mainland US and reproject on nlcd crs if necessary + # need spData library + data(us_states) + us_main <- st_union(us_states) %>% + terra::vect() %>% + terra::project(x = ., y = crs(eg_data)) + data_vect_b <- data_vect %>% + terra::intersect(us_main, .) + if (!same.crs(data_vect_b, nlcd)) { data_vect_b <- project(data_vect_b, crs(nlcd)) } @@ -54,11 +81,11 @@ add_nlcd_class_ratio <- function(data_vect, bufs_pol <- sf::st_as_sf(bufs_pol) # crop nlcd raster - extent <- terra::ext(bufs_pol) - nlcd_cropped <- terra::crop(nlcd, extent) + #extent <- terra::ext(bufs_pol) + #nlcd_cropped <- terra::crop(nlcd, extent) # ratio of each nlcd class per buffer - nlcd_at_bufs <- exact_extract(nlcd_cropped, + nlcd_at_bufs <- exact_extract(nlcd, st_geometry(bufs_pol), fun = "frac", stack_apply = T, @@ -71,7 +98,9 @@ add_nlcd_class_ratio <- function(data_vect, nlcd_names <- names(nlcd_at_bufs) %>% sub("frac_", "", .) %>% as.numeric() - nlcd_names[match(nlcd_names, nlcd_classes$value)] <- nlcd_classes$class + #nlcd_names[match(nlcd_names, nlcd_classes$value)] <- nlcd_classes$class + nlcd_names <- nlcd_classes[nlcd_classes$value %in% nlcd_names, c("class")] + new_names <- sapply( nlcd_names, function(x) { @@ -86,3 +115,4 @@ add_nlcd_class_ratio <- function(data_vect, return(new_data_vect) } + diff --git a/tests/testthat/test-extract-nlcd-ratio.R b/tests/testthat/test-extract-nlcd-ratio.R new file mode 100644 index 00000000..04f9810f --- /dev/null +++ b/tests/testthat/test-extract-nlcd-ratio.R @@ -0,0 +1,60 @@ +test_that("Check extract_nlcd_ratio works", { + + point_wa <- cbind(lon = -119.88, lat = 47.709, dem = 3) # washington state + point_nc <- cbind(lon = -78.836, lat = 35.893, dem = 10) # north carolina + point_ak <- cbind(lon = -155.997, lat = 69.3884, dem = 100) # alaska + point_fr <- cbind(lon = 2.957, lat = 43.976, dem = 15) # france + eg_data <- rbind(point_wa, point_nc, point_ak, point_fr) %>% + as.data.frame() %>% + vect(., crs="EPSG:4326") + + # CHECK INPUT (error message) + # -- buf_radius is numeric + expect_error( + add_nlcd_class_ratio(data_vect = eg_data, buf_radius = "1000"), + "buf_radius is not a numeric.") + # -- buf_radius has likely value + expect_error( + add_nlcd_class_ratio(data_vect = eg_data, buf_radius = -3), + "buf_radius has not a likely value.") + # -- year is numeric + expect_error( + add_nlcd_class_ratio(data_vect = eg_data, year = "2019"), + "year is not a numeric.") + # -- year has likely value + expect_error( + add_nlcd_class_ratio(data_vect = eg_data, year = 20192), + "NLCD data not available for this year.") + expect_error( + add_nlcd_class_ratio(data_vect = eg_data, year = 2020), + "NLCD data not available for this year.") + # -- data_vect is a SpatVector + expect_error(add_nlcd_class_ratio(data_vect = 12), + "data_vect is not a terra::SpatVector") + + # CHECK OUTPUT + year <- 2021 + buf_radius <- 100 + expect_no_error(add_nlcd_class_ratio(data_vect = eg_data, + year = year, + buf_radius = buf_radius)) + output <- add_nlcd_class_ratio(data_vect = eg_data, + year = year, + buf_radius = buf_radius) + # -- returns a SpatVector + expect_equal(class(output)[1], "SpatVector") + # -- crs is the same than input + expect_true(terra::same.crs(eg_data, output)) + # -- out-of-mainland-US points removed (France and Alaska) + expect_equal(nrow(output), 2) + # -- initial names are still in the output SpatVector + expect_true(all(names(eg_data) %in% names(output))) + # -- check the value of some of the points in the US + expect_equal(output$frac_LID_2021_100m[1], 0.1770684, tolerance = 1e-7) + expect_equal(output$frac_SHB_2021_100m[2], 0.2429427, tolerance = 1e-7) + # -- class fraction rows should sum to 1 + expect_equal(rowSums(as.data.frame(output[, 2:ncol(output)])), + rep(1, 2), + tolerance = 1e-7 + ) +}) diff --git a/vignettes/extract_nlcd_ratio_monitors.Rmd b/vignettes/extract_nlcd_ratio_monitors.Rmd index 8c0ef735..a9a577fb 100644 --- a/vignettes/extract_nlcd_ratio_monitors.Rmd +++ b/vignettes/extract_nlcd_ratio_monitors.Rmd @@ -1,35 +1,61 @@ --- title: "NLCD ratio: example in RTP area" -output: html_document +author: "Eva Marques" +output: rmarkdown::html_vignette date: "2023-11-27" +vignette: > + %\VignetteIndexEntry{Vignette Title} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} --- + + + ```{r, message=F} pkgs <- c("terra", "exactextractr", "tidyverse", "data.table", - "sf") + "sf", + "gdalUtilities") sapply(pkgs, library, character.only = TRUE) ``` + Open NLCD data -```{r} -nlcd_2019 <- rast("../input/nlcd/raw/nlcd_2019_land_cover_l48_20210604.img") -nlcd_2021 <- rast("../input/nlcd/raw/nlcd_2021_land_cover_l48_20230630.img") -plot(nlcd_2019) -plot(nlcd_2021) +```{r, eval = F} +nlcd_2019 <- rast("/Volumes/set/NLCD/nlcd_2019_land_cover_l48_20210604.tif") +nlcd_2021 <- rast("/Volumes/set/NLCD/nlcd_2021_land_cover_l48_20230630.tif") +``` + +Test to see if data is well loaded + +```{r, echo = F} +lat <- c(1900000, 2000000, 2000000, 1900000) +lon <- c(-1600000, -1600000, -1500000, -1500000) +ext <- vect(cbind(lon, lat), type = "polygons", crs=crs(nlcd_2021)) +nlcd_small <- terra::crop(nlcd_2021, ext, mask=T) +plot(nlcd_2021) +plot(ext, add=T, col="black") +plot(nlcd_small) + +point1 <- cbind(-2e6, 3e6) +terra::extract(nlcd_2021, point1) + +point2 <- cbind(0, 1500000) +terra::extract(nlcd_2021, point2) ``` + + Open monitors data ```{r} -#path_aqs <- "/ddn/gs1/group/set/Projects/NRT-AP-Model/input/aqs/" path_aqs <- "/Volumes/set/Projects/NRT-AP-Model/input/aqs/" aqs_mon <- fread(paste0(path_aqs, "aqs_monitors.csv")) aqs_mon <- aqs_mon[`Parameter Code`==88101,] # PM2.5 monitors only - ``` Process monitors @@ -51,50 +77,48 @@ aqs_mon <- rbind(a, b) %>% keepgeom = FALSE) ``` + + NLCD classes ```{r} -nlcd_classes <- list(value = c(0, 11, 21, 22, 23, 24, 31, 41, 42, 43, 52, - 71, 81, 82, 90, 95), - class = c("Unc", "WTR", "OSD", "LID", "MID", "HID", - "BRN", "DFO", "EFO", "MFO", "SHB", - "GRS", "PAS", "CRP", "WDW", "EHW"), - names = c("Unclassified", - "Open Water", - "Developed, Open Space", - "Developed, Low Intensity", - "Developed, Medium Intensity", - "Developed, High Intensity", - "Barren Land", - "Deciduous Forest", - "Evergreen Forest", - "Mixed Forest", - "Shrub/Scrub", - "Herbaceous", - "Hay/Pasture", - "Cultivated Crops", - "Woody Wetlands", - "Emergent Herbaceous Wetlands"), - col = c("white", "#476ba1", "#decaca", "#d99482", "#ee0000", - "#ab0000", "#b3aea3", "#68ab63", "#1c6330", - "#b5ca8f", "#ccba7d", "#e3e3c2", "#dcd93d", - "#ab7028", "#bad9eb", "#70a3ba")) -nlcd_classes <- as.data.frame(nlcd_classes) +source("../R/extract_nlcd_ratio.R") +nlcd_classes ``` -Compute NLCD ratio in 1km buffers +Compute NLCD ratio in 150 buffers ```{r} -source("../R/extract_nlcd_ratio.R") - # check that unit is in meters -linearUnits(nlcd_2019) +linearUnits(nlcd_2021) same.crs(nlcd_2019, nlcd_2021) aqs_mon_nlcd <- add_nlcd_class_ratio(data_vect = aqs_mon, - buf_radius = 1000, - year = 2019) + buf_radius = 150, + year = 2021) +``` + +Select in north Carolina and plot pie chart + +```{r} +library(ggplot2) +library(scatterpie) +map <- map_data("county") +nc <- subset(map, region == "north carolina") +df <- as.data.frame(aqs_mon_nlcd, geom = "XY") +names(df)[names(df) == "x"] <- "long" +names(df)[names(df) == "y"] <- "lat" +frac <- df[names(df)[grepl("frac_", names(df))]] +df <- cbind(df[, c("long", "lat")], frac) +ggplot() + + geom_polygon(data = map, aes(x = long, y = lat, group = group)) + + geom_scatterpie(aes(x=long, y=lat, r = .5), data=df, + cols = names(df)[3:ncol(df)], color=NA) + + scale_fill_manual(values = nlcd_classes$col, labels = nlcd_classes$names) + + + coord_equal() + ``` From 3fdebf8381c242448569b869aa61ef4019ac3676 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Mon, 4 Dec 2023 11:42:08 -0500 Subject: [PATCH 03/23] #196 Refactoring nlcd ratio calculation scripts --- R/{extract_nlcd_ratio.R => calc_nlcd_ratio.R} | 38 +++++++------- ...ct-nlcd-ratio.R => test-calc-nlcd-ratio.R} | 16 +++--- ...itors.Rmd => calc_nlcd_ratio_monitors.Rmd} | 49 +++++++++---------- 3 files changed, 48 insertions(+), 55 deletions(-) rename R/{extract_nlcd_ratio.R => calc_nlcd_ratio.R} (81%) rename tests/testthat/{test-extract-nlcd-ratio.R => test-calc-nlcd-ratio.R} (80%) rename vignettes/{extract_nlcd_ratio_monitors.Rmd => calc_nlcd_ratio_monitors.Rmd} (82%) diff --git a/R/extract_nlcd_ratio.R b/R/calc_nlcd_ratio.R similarity index 81% rename from R/extract_nlcd_ratio.R rename to R/calc_nlcd_ratio.R index 07cdc3f8..1a1f45e6 100644 --- a/R/extract_nlcd_ratio.R +++ b/R/calc_nlcd_ratio.R @@ -1,4 +1,5 @@ -# needs terra, exactextractr, spData +# needs terra, exactextractr, spData, sf + nlcd_classes <- list(value = c(0, 11, 21, 22, 23, 24, 31, 41, 42, 43, 52, 71, 81, 82, 90, 95), @@ -27,15 +28,16 @@ nlcd_classes <- list(value = c(0, 11, 21, 22, 23, 24, 31, 41, 42, 43, 52, "#ab7028", "#bad9eb", "#70a3ba")) nlcd_classes <- as.data.frame(nlcd_classes) + #' Compute land cover classes ratio in circle buffers around points #' #' @param data_vect terra::SpatVector of points geometry -#' @param nlcd national land cover dataset as a terra::SpatRaster -#' @param buf_radius numeric giving the radius of buffer around points +#' @param buf_radius numeric (non-negative) giving the radius of buffer around points +#' @param year numeric giving the year of NLCD data used #' @export -add_nlcd_class_ratio <- function(data_vect, - buf_radius = 1000, - year = 2021) { +calc_nlcd_ratio <- function(data_vect, + buf_radius = 1000, + year = 2021) { # check inputs if (!is.numeric(buf_radius)){ @@ -52,12 +54,12 @@ add_nlcd_class_ratio <- function(data_vect, } # open nlcd file corresponding to the year - #nlcd_file <- list.files("../input/nlcd/raw/", - # pattern = paste0("nlcd_", year, "_.*.img"), - # full.names = TRUE) - nlcd_file <- list.files("/Volumes/set/NLCD/", + nlcd_file <- list.files("../input/nlcd/raw/", pattern = paste0("nlcd_", year, "_.*.tif$"), full.names = TRUE) + #nlcd_file <- list.files("/Volumes/set/NLCD/", + # pattern = paste0("nlcd_", year, "_.*.tif$"), + # full.names = TRUE) if (length(nlcd_file) == 0) { stop("NLCD data not available for this year.") } @@ -68,21 +70,16 @@ add_nlcd_class_ratio <- function(data_vect, data(us_states) us_main <- st_union(us_states) %>% terra::vect() %>% - terra::project(x = ., y = crs(eg_data)) + terra::project(x = ., y = crs(data_vect)) data_vect_b <- data_vect %>% terra::intersect(us_main, .) - if (!same.crs(data_vect_b, nlcd)) { data_vect_b <- project(data_vect_b, crs(nlcd)) } # create circle buffers with buf_radius - bufs_pol <- terra::buffer(data_vect_b, width = buf_radius) - bufs_pol <- sf::st_as_sf(bufs_pol) - - # crop nlcd raster - #extent <- terra::ext(bufs_pol) - #nlcd_cropped <- terra::crop(nlcd, extent) + bufs_pol <- terra::buffer(data_vect_b, width = buf_radius) %>% + sf::st_as_sf() # ratio of each nlcd class per buffer nlcd_at_bufs <- exact_extract(nlcd, @@ -98,9 +95,7 @@ add_nlcd_class_ratio <- function(data_vect, nlcd_names <- names(nlcd_at_bufs) %>% sub("frac_", "", .) %>% as.numeric() - #nlcd_names[match(nlcd_names, nlcd_classes$value)] <- nlcd_classes$class nlcd_names <- nlcd_classes[nlcd_classes$value %in% nlcd_names, c("class")] - new_names <- sapply( nlcd_names, function(x) { @@ -108,7 +103,8 @@ add_nlcd_class_ratio <- function(data_vect, } ) names(nlcd_at_bufs) <- new_names - # merge data_vect with nlcd classes fractions (and reproject) + + # merge data_vect with nlcd class fractions (and reproject) new_data_vect <- cbind(data_vect_b, nlcd_at_bufs) %>% project(., crs(data_vect)) diff --git a/tests/testthat/test-extract-nlcd-ratio.R b/tests/testthat/test-calc-nlcd-ratio.R similarity index 80% rename from tests/testthat/test-extract-nlcd-ratio.R rename to tests/testthat/test-calc-nlcd-ratio.R index 04f9810f..16238c78 100644 --- a/tests/testthat/test-extract-nlcd-ratio.R +++ b/tests/testthat/test-calc-nlcd-ratio.R @@ -11,34 +11,34 @@ test_that("Check extract_nlcd_ratio works", { # CHECK INPUT (error message) # -- buf_radius is numeric expect_error( - add_nlcd_class_ratio(data_vect = eg_data, buf_radius = "1000"), + calc_nlcd_ratio(data_vect = eg_data, buf_radius = "1000"), "buf_radius is not a numeric.") # -- buf_radius has likely value expect_error( - add_nlcd_class_ratio(data_vect = eg_data, buf_radius = -3), + calc_nlcd_ratio(data_vect = eg_data, buf_radius = -3), "buf_radius has not a likely value.") # -- year is numeric expect_error( - add_nlcd_class_ratio(data_vect = eg_data, year = "2019"), + calc_nlcd_ratio(data_vect = eg_data, year = "2019"), "year is not a numeric.") # -- year has likely value expect_error( - add_nlcd_class_ratio(data_vect = eg_data, year = 20192), + calc_nlcd_ratio(data_vect = eg_data, year = 20192), "NLCD data not available for this year.") expect_error( - add_nlcd_class_ratio(data_vect = eg_data, year = 2020), + calc_nlcd_ratio(data_vect = eg_data, year = 2020), "NLCD data not available for this year.") # -- data_vect is a SpatVector - expect_error(add_nlcd_class_ratio(data_vect = 12), + expect_error(calc_nlcd_ratio(data_vect = 12), "data_vect is not a terra::SpatVector") # CHECK OUTPUT year <- 2021 buf_radius <- 100 - expect_no_error(add_nlcd_class_ratio(data_vect = eg_data, + expect_no_error(calc_nlcd_ratio(data_vect = eg_data, year = year, buf_radius = buf_radius)) - output <- add_nlcd_class_ratio(data_vect = eg_data, + output <- calc_nlcd_ratio(data_vect = eg_data, year = year, buf_radius = buf_radius) # -- returns a SpatVector diff --git a/vignettes/extract_nlcd_ratio_monitors.Rmd b/vignettes/calc_nlcd_ratio_monitors.Rmd similarity index 82% rename from vignettes/extract_nlcd_ratio_monitors.Rmd rename to vignettes/calc_nlcd_ratio_monitors.Rmd index a9a577fb..fdd4c7dd 100644 --- a/vignettes/extract_nlcd_ratio_monitors.Rmd +++ b/vignettes/calc_nlcd_ratio_monitors.Rmd @@ -1,5 +1,5 @@ --- -title: "NLCD ratio: example in RTP area" +title: "NLCD ratio: calculation at monitor locations" author: "Eva Marques" output: rmarkdown::html_vignette date: "2023-11-27" @@ -9,30 +9,34 @@ vignette: > %\VignetteEncoding{UTF-8} --- - - - ```{r, message=F} pkgs <- c("terra", "exactextractr", "tidyverse", "data.table", "sf", - "gdalUtilities") + "spData", + "gdalUtilities", + "ggplot2", + "scatterpie") sapply(pkgs, library, character.only = TRUE) ``` -Open NLCD data +## Open NLCD data ```{r, eval = F} nlcd_2019 <- rast("/Volumes/set/NLCD/nlcd_2019_land_cover_l48_20210604.tif") nlcd_2021 <- rast("/Volumes/set/NLCD/nlcd_2021_land_cover_l48_20230630.tif") + +# check that unit is in meters +linearUnits(nlcd_2021) +same.crs(nlcd_2019, nlcd_2021) ``` Test to see if data is well loaded -```{r, echo = F} +```{r, eval = F} lat <- c(1900000, 2000000, 2000000, 1900000) lon <- c(-1600000, -1600000, -1500000, -1500000) ext <- vect(cbind(lon, lat), type = "polygons", crs=crs(nlcd_2021)) @@ -49,8 +53,7 @@ terra::extract(nlcd_2021, point2) ``` - -Open monitors data +## Open monitors data ```{r} path_aqs <- "/Volumes/set/Projects/NRT-AP-Model/input/aqs/" @@ -78,47 +81,41 @@ aqs_mon <- rbind(a, b) %>% ``` - -NLCD classes +## NLCD classes ```{r} -source("../R/extract_nlcd_ratio.R") +source("../R/calc_nlcd_ratio.R") nlcd_classes ``` -Compute NLCD ratio in 150 buffers +## Compute NLCD ratio in 150m buffers ```{r} -# check that unit is in meters -linearUnits(nlcd_2021) -same.crs(nlcd_2019, nlcd_2021) - -aqs_mon_nlcd <- add_nlcd_class_ratio(data_vect = aqs_mon, - buf_radius = 150, - year = 2021) +start <- Sys.time() +aqs_mon_nlcd <- calc_nlcd_ratio(data_vect = aqs_mon, + buf_radius = 150, + year = 2021) +end <- Sys.time() +end - start ``` -Select in north Carolina and plot pie chart +Plot pie chart ```{r} -library(ggplot2) -library(scatterpie) map <- map_data("county") -nc <- subset(map, region == "north carolina") df <- as.data.frame(aqs_mon_nlcd, geom = "XY") names(df)[names(df) == "x"] <- "long" names(df)[names(df) == "y"] <- "lat" frac <- df[names(df)[grepl("frac_", names(df))]] df <- cbind(df[, c("long", "lat")], frac) + ggplot() + geom_polygon(data = map, aes(x = long, y = lat, group = group)) + geom_scatterpie(aes(x=long, y=lat, r = .5), data=df, cols = names(df)[3:ncol(df)], color=NA) + scale_fill_manual(values = nlcd_classes$col, labels = nlcd_classes$names) + - coord_equal() - ``` From 63ae5e3c58e03bce57590a85f997747f4d462788 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Mon, 4 Dec 2023 13:28:47 -0500 Subject: [PATCH 04/23] #196 Refactoring nlcd ratio calculation scripts --- R/calc_nlcd_ratio.R | 8 +-- tests/testthat/test-calc-nlcd-ratio.R | 62 +++++++++++++---------- vignettes/calc_nlcd_ratio_monitors.Rmd | 68 ++++++++++++++------------ 3 files changed, 77 insertions(+), 61 deletions(-) diff --git a/R/calc_nlcd_ratio.R b/R/calc_nlcd_ratio.R index 1a1f45e6..afdd3153 100644 --- a/R/calc_nlcd_ratio.R +++ b/R/calc_nlcd_ratio.R @@ -54,12 +54,12 @@ calc_nlcd_ratio <- function(data_vect, } # open nlcd file corresponding to the year - nlcd_file <- list.files("../input/nlcd/raw/", - pattern = paste0("nlcd_", year, "_.*.tif$"), - full.names = TRUE) - #nlcd_file <- list.files("/Volumes/set/NLCD/", + #nlcd_file <- list.files("../input/nlcd/raw/", # pattern = paste0("nlcd_", year, "_.*.tif$"), # full.names = TRUE) + nlcd_file <- list.files("/Volumes/set/NLCD/", + pattern = paste0("nlcd_", year, "_.*.tif$"), + full.names = TRUE) if (length(nlcd_file) == 0) { stop("NLCD data not available for this year.") } diff --git a/tests/testthat/test-calc-nlcd-ratio.R b/tests/testthat/test-calc-nlcd-ratio.R index 16238c78..d067b86b 100644 --- a/tests/testthat/test-calc-nlcd-ratio.R +++ b/tests/testthat/test-calc-nlcd-ratio.R @@ -1,60 +1,70 @@ test_that("Check extract_nlcd_ratio works", { - point_wa <- cbind(lon = -119.88, lat = 47.709, dem = 3) # washington state point_nc <- cbind(lon = -78.836, lat = 35.893, dem = 10) # north carolina point_ak <- cbind(lon = -155.997, lat = 69.3884, dem = 100) # alaska - point_fr <- cbind(lon = 2.957, lat = 43.976, dem = 15) # france + point_fr <- cbind(lon = 2.957, lat = 43.976, dem = 15) # france eg_data <- rbind(point_wa, point_nc, point_ak, point_fr) %>% as.data.frame() %>% - vect(., crs="EPSG:4326") - + vect(., crs = "EPSG:4326") + # CHECK INPUT (error message) # -- buf_radius is numeric expect_error( calc_nlcd_ratio(data_vect = eg_data, buf_radius = "1000"), - "buf_radius is not a numeric.") + "buf_radius is not a numeric." + ) # -- buf_radius has likely value expect_error( calc_nlcd_ratio(data_vect = eg_data, buf_radius = -3), - "buf_radius has not a likely value.") + "buf_radius has not a likely value." + ) # -- year is numeric expect_error( calc_nlcd_ratio(data_vect = eg_data, year = "2019"), - "year is not a numeric.") + "year is not a numeric." + ) # -- year has likely value expect_error( calc_nlcd_ratio(data_vect = eg_data, year = 20192), - "NLCD data not available for this year.") + "NLCD data not available for this year." + ) expect_error( calc_nlcd_ratio(data_vect = eg_data, year = 2020), - "NLCD data not available for this year.") + "NLCD data not available for this year." + ) # -- data_vect is a SpatVector - expect_error(calc_nlcd_ratio(data_vect = 12), - "data_vect is not a terra::SpatVector") - + expect_error( + calc_nlcd_ratio(data_vect = 12), + "data_vect is not a terra::SpatVector" + ) + # CHECK OUTPUT year <- 2021 buf_radius <- 100 - expect_no_error(calc_nlcd_ratio(data_vect = eg_data, - year = year, - buf_radius = buf_radius)) - output <- calc_nlcd_ratio(data_vect = eg_data, - year = year, - buf_radius = buf_radius) - # -- returns a SpatVector + expect_no_error(calc_nlcd_ratio( + data_vect = eg_data, + year = year, + buf_radius = buf_radius + )) + output <- calc_nlcd_ratio( + data_vect = eg_data, + year = year, + buf_radius = buf_radius + ) + # -- returns a SpatVector expect_equal(class(output)[1], "SpatVector") - # -- crs is the same than input + # -- crs is the same than input expect_true(terra::same.crs(eg_data, output)) # -- out-of-mainland-US points removed (France and Alaska) expect_equal(nrow(output), 2) # -- initial names are still in the output SpatVector expect_true(all(names(eg_data) %in% names(output))) - # -- check the value of some of the points in the US + # -- check the value of some of the points in the US expect_equal(output$frac_LID_2021_100m[1], 0.1770684, tolerance = 1e-7) expect_equal(output$frac_SHB_2021_100m[2], 0.2429427, tolerance = 1e-7) - # -- class fraction rows should sum to 1 - expect_equal(rowSums(as.data.frame(output[, 2:ncol(output)])), - rep(1, 2), - tolerance = 1e-7 - ) + # -- class fraction rows should sum to 1 + expect_equal(rowSums(as.data.frame(output[, 2:ncol(output)])), + rep(1, 2), + tolerance = 1e-7 + ) }) diff --git a/vignettes/calc_nlcd_ratio_monitors.Rmd b/vignettes/calc_nlcd_ratio_monitors.Rmd index fdd4c7dd..c33d9e93 100644 --- a/vignettes/calc_nlcd_ratio_monitors.Rmd +++ b/vignettes/calc_nlcd_ratio_monitors.Rmd @@ -10,15 +10,17 @@ vignette: > --- ```{r, message=F} -pkgs <- c("terra", - "exactextractr", - "tidyverse", - "data.table", - "sf", - "spData", - "gdalUtilities", - "ggplot2", - "scatterpie") +pkgs <- c( + "terra", + "exactextractr", + "tidyverse", + "data.table", + "sf", + "spData", + "gdalUtilities", + "ggplot2", + "scatterpie" +) sapply(pkgs, library, character.only = TRUE) ``` @@ -37,12 +39,12 @@ same.crs(nlcd_2019, nlcd_2021) Test to see if data is well loaded ```{r, eval = F} -lat <- c(1900000, 2000000, 2000000, 1900000) -lon <- c(-1600000, -1600000, -1500000, -1500000) -ext <- vect(cbind(lon, lat), type = "polygons", crs=crs(nlcd_2021)) -nlcd_small <- terra::crop(nlcd_2021, ext, mask=T) -plot(nlcd_2021) -plot(ext, add=T, col="black") +lat <- c(1900000, 2000000, 2000000, 1900000) +lon <- c(-1600000, -1600000, -1500000, -1500000) +ext <- vect(cbind(lon, lat), type = "polygons", crs = crs(nlcd_2021)) +nlcd_small <- terra::crop(nlcd_2021, ext, mask = T) +plot(nlcd_2021) +plot(ext, add = T, col = "black") plot(nlcd_small) point1 <- cbind(-2e6, 3e6) @@ -57,14 +59,14 @@ terra::extract(nlcd_2021, point2) ```{r} path_aqs <- "/Volumes/set/Projects/NRT-AP-Model/input/aqs/" -aqs_mon <- fread(paste0(path_aqs, "aqs_monitors.csv")) -aqs_mon <- aqs_mon[`Parameter Code`==88101,] # PM2.5 monitors only +aqs_mon <- fread(paste0(path_aqs, "aqs_monitors.csv")) +aqs_mon <- aqs_mon[`Parameter Code` == 88101, ] # PM2.5 monitors only ``` Process monitors ```{r} -aqs_mon <- aqs_mon %>% +aqs_mon <- aqs_mon %>% rename(lon = Longitude) %>% rename(lat = Latitude) @@ -75,9 +77,10 @@ a$lat_ori <- NULL b <- aqs_mon[Datum != "NAD83"] aqs_mon <- rbind(a, b) %>% terra::vect(., - geom = c("lon", "lat"), - crs = "EPSG:4326", - keepgeom = FALSE) + geom = c("lon", "lat"), + crs = "EPSG:4326", + keepgeom = FALSE + ) ``` @@ -89,20 +92,22 @@ nlcd_classes ``` -## Compute NLCD ratio in 150m buffers +## Compute NLCD ratio in 100m buffers ```{r} start <- Sys.time() -aqs_mon_nlcd <- calc_nlcd_ratio(data_vect = aqs_mon, - buf_radius = 150, - year = 2021) +aqs_mon_nlcd <- calc_nlcd_ratio( + data_vect = aqs_mon, + buf_radius = 100, + year = 2021 +) end <- Sys.time() end - start ``` Plot pie chart -```{r} +```{r, fig.width = 12} map <- map_data("county") df <- as.data.frame(aqs_mon_nlcd, geom = "XY") names(df)[names(df) == "x"] <- "long" @@ -110,12 +115,13 @@ names(df)[names(df) == "y"] <- "lat" frac <- df[names(df)[grepl("frac_", names(df))]] df <- cbind(df[, c("long", "lat")], frac) -ggplot() + +g <- ggplot() + geom_polygon(data = map, aes(x = long, y = lat, group = group)) + - geom_scatterpie(aes(x=long, y=lat, r = .5), data=df, - cols = names(df)[3:ncol(df)], color=NA) + + geom_scatterpie(aes(x = long, y = lat, r = .5), + data = df, + cols = names(df)[3:ncol(df)], color = NA + ) + scale_fill_manual(values = nlcd_classes$col, labels = nlcd_classes$names) + coord_equal() +g ``` - - From 4732ec21168c31de5052f4457e22cb568253e1d7 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Mon, 4 Dec 2023 13:29:36 -0500 Subject: [PATCH 05/23] #196 Refactoring nlcd ratio calculation scripts --- R/calc_nlcd_ratio.R | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/R/calc_nlcd_ratio.R b/R/calc_nlcd_ratio.R index afdd3153..1a1f45e6 100644 --- a/R/calc_nlcd_ratio.R +++ b/R/calc_nlcd_ratio.R @@ -54,12 +54,12 @@ calc_nlcd_ratio <- function(data_vect, } # open nlcd file corresponding to the year - #nlcd_file <- list.files("../input/nlcd/raw/", - # pattern = paste0("nlcd_", year, "_.*.tif$"), - # full.names = TRUE) - nlcd_file <- list.files("/Volumes/set/NLCD/", + nlcd_file <- list.files("../input/nlcd/raw/", pattern = paste0("nlcd_", year, "_.*.tif$"), full.names = TRUE) + #nlcd_file <- list.files("/Volumes/set/NLCD/", + # pattern = paste0("nlcd_", year, "_.*.tif$"), + # full.names = TRUE) if (length(nlcd_file) == 0) { stop("NLCD data not available for this year.") } From ec50ecf28f0086e4b6f64e49c4c5aaabee43fa13 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Mon, 4 Dec 2023 13:45:27 -0500 Subject: [PATCH 06/23] #196 Refactoring nlcd ratio calculation scripts --- R/calc_nlcd_ratio.R | 29 +++++++++++++++-------------- 1 file changed, 15 insertions(+), 14 deletions(-) diff --git a/R/calc_nlcd_ratio.R b/R/calc_nlcd_ratio.R index 1a1f45e6..ec6d4f67 100644 --- a/R/calc_nlcd_ratio.R +++ b/R/calc_nlcd_ratio.R @@ -3,24 +3,24 @@ nlcd_classes <- list(value = c(0, 11, 21, 22, 23, 24, 31, 41, 42, 43, 52, 71, 81, 82, 90, 95), - class = c("Unc", "WTR", "OSD", "LID", "MID", "HID", - "BRN", "DFO", "EFO", "MFO", "SHB", + class = c("Unc", "WTR", "OSD", "LID", "MID", "HID", + "BRN", "DFO", "EFO", "MFO", "SHB", "GRS", "PAS", "CRP", "WDW", "EHW"), - names = c("Unclassified", - "Open Water", - "Developed, Open Space", - "Developed, Low Intensity", + names = c("Unclassified", + "Open Water", + "Developed, Open Space", + "Developed, Low Intensity", "Developed, Medium Intensity", "Developed, High Intensity", - "Barren Land", + "Barren Land", "Deciduous Forest", - "Evergreen Forest", + "Evergreen Forest", "Mixed Forest", - "Shrub/Scrub", - "Herbaceous", - "Hay/Pasture", - "Cultivated Crops", - "Woody Wetlands", + "Shrub/Scrub", + "Herbaceous", + "Hay/Pasture", + "Cultivated Crops", + "Woody Wetlands", "Emergent Herbaceous Wetlands"), col = c("white", "#476ba1", "#decaca", "#d99482", "#ee0000", "#ab0000", "#b3aea3", "#68ab63", "#1c6330", @@ -54,7 +54,8 @@ calc_nlcd_ratio <- function(data_vect, } # open nlcd file corresponding to the year - nlcd_file <- list.files("../input/nlcd/raw/", + path_data <- "./input/nlcd/raw/" + nlcd_file <- list.files(path_data, pattern = paste0("nlcd_", year, "_.*.tif$"), full.names = TRUE) #nlcd_file <- list.files("/Volumes/set/NLCD/", From ab56cc9c159751f413bf5596b6a3d65430b29079 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Mon, 4 Dec 2023 14:21:06 -0500 Subject: [PATCH 07/23] #196 Refactoring nlcd ratio calculation scripts --- R/calc_nlcd_ratio.R | 62 ++++++++++++++++++--------------------------- 1 file changed, 25 insertions(+), 37 deletions(-) diff --git a/R/calc_nlcd_ratio.R b/R/calc_nlcd_ratio.R index ec6d4f67..36947227 100644 --- a/R/calc_nlcd_ratio.R +++ b/R/calc_nlcd_ratio.R @@ -22,79 +22,71 @@ nlcd_classes <- list(value = c(0, 11, 21, 22, 23, 24, 31, 41, 42, 43, 52, "Cultivated Crops", "Woody Wetlands", "Emergent Herbaceous Wetlands"), - col = c("white", "#476ba1", "#decaca", "#d99482", "#ee0000", - "#ab0000", "#b3aea3", "#68ab63", "#1c6330", - "#b5ca8f", "#ccba7d", "#e3e3c2", "#dcd93d", - "#ab7028", "#bad9eb", "#70a3ba")) + col = c("white", "#476ba1", "#decaca", "#d99482", + "#ee0000", "#ab0000", "#b3aea3", "#68ab63", + "#1c6330", "#b5ca8f", "#ccba7d", "#e3e3c2", + "#dcd93d", "#ab7028", "#bad9eb", "#70a3ba")) nlcd_classes <- as.data.frame(nlcd_classes) #' Compute land cover classes ratio in circle buffers around points #' #' @param data_vect terra::SpatVector of points geometry -#' @param buf_radius numeric (non-negative) giving the radius of buffer around points +#' @param buf_radius numeric (non-negative) giving the +#' radius of buffer around points #' @param year numeric giving the year of NLCD data used #' @export -calc_nlcd_ratio <- function(data_vect, - buf_radius = 1000, +calc_nlcd_ratio <- function(data_vect, + buf_radius = 1000, year = 2021) { - - # check inputs - if (!is.numeric(buf_radius)){ + # check inputs + if (!is.numeric(buf_radius)) { stop("buf_radius is not a numeric.") } if (buf_radius <= 0) { stop("buf_radius has not a likely value.") } - if (!is.numeric(year)){ + if (!is.numeric(year)) { stop("year is not a numeric.") } if (class(data_vect)[1] != "SpatVector") { stop("data_vect is not a terra::SpatVector") } - # open nlcd file corresponding to the year path_data <- "./input/nlcd/raw/" - nlcd_file <- list.files(path_data, - pattern = paste0("nlcd_", year, "_.*.tif$"), - full.names = TRUE) - #nlcd_file <- list.files("/Volumes/set/NLCD/", - # pattern = paste0("nlcd_", year, "_.*.tif$"), - # full.names = TRUE) + nlcd_file <- list.files(path_data, + pattern = paste0("nlcd_", year, "_.*.tif$"), + full.names = TRUE) if (length(nlcd_file) == 0) { stop("NLCD data not available for this year.") } nlcd <- rast(nlcd_file) - # select points within mainland US and reproject on nlcd crs if necessary # need spData library data(us_states) us_main <- st_union(us_states) %>% terra::vect() %>% - terra::project(x = ., y = crs(data_vect)) + terra::project(y = crs(data_vect)) data_vect_b <- data_vect %>% - terra::intersect(us_main, .) + terra::intersect(x = us_main) if (!same.crs(data_vect_b, nlcd)) { data_vect_b <- project(data_vect_b, crs(nlcd)) } - - # create circle buffers with buf_radius + # create circle buffers with buf_radius bufs_pol <- terra::buffer(data_vect_b, width = buf_radius) %>% sf::st_as_sf() - # ratio of each nlcd class per buffer - nlcd_at_bufs <- exact_extract(nlcd, - st_geometry(bufs_pol), + nlcd_at_bufs <- exact_extract(nlcd, + st_geometry(bufs_pol), fun = "frac", - stack_apply = T, - progress = F) - + stack_apply = TRUE, + progress = FALSE) # select only the columns of interest nlcd_at_bufs <- nlcd_at_bufs[names(nlcd_at_bufs)[grepl("frac_", - names(nlcd_at_bufs))]] + names(nlcd_at_bufs))]] # change column names nlcd_names <- names(nlcd_at_bufs) %>% - sub("frac_", "", .) %>% + sub(pattern = "frac_", replacement = "") %>% as.numeric() nlcd_names <- nlcd_classes[nlcd_classes$value %in% nlcd_names, c("class")] new_names <- sapply( @@ -104,12 +96,8 @@ calc_nlcd_ratio <- function(data_vect, } ) names(nlcd_at_bufs) <- new_names - # merge data_vect with nlcd class fractions (and reproject) - new_data_vect <- cbind(data_vect_b, nlcd_at_bufs) %>% - project(., crs(data_vect)) - + new_data_vect <- cbind(data_vect_b, nlcd_at_bufs) %>% + project(crs(data_vect)) return(new_data_vect) } - - From 1538a697dbc1d2bfd961a844dc8ece3f2b3bbb1a Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Mon, 4 Dec 2023 14:39:39 -0500 Subject: [PATCH 08/23] #196 trying to solve pull request --- R/calc_nlcd_ratio.R | 18 +++++++++--------- vignettes/calc_nlcd_ratio_monitors.Rmd | 4 ++-- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/R/calc_nlcd_ratio.R b/R/calc_nlcd_ratio.R index 36947227..4bc1e82a 100644 --- a/R/calc_nlcd_ratio.R +++ b/R/calc_nlcd_ratio.R @@ -63,24 +63,24 @@ calc_nlcd_ratio <- function(data_vect, nlcd <- rast(nlcd_file) # select points within mainland US and reproject on nlcd crs if necessary # need spData library - data(us_states) - us_main <- st_union(us_states) %>% + data(us_states, package = "spData") + us_main <- sf::st_union(us_states) %>% terra::vect() %>% terra::project(y = crs(data_vect)) data_vect_b <- data_vect %>% terra::intersect(x = us_main) - if (!same.crs(data_vect_b, nlcd)) { + if (!terra::same.crs(data_vect_b, nlcd)) { data_vect_b <- project(data_vect_b, crs(nlcd)) } # create circle buffers with buf_radius bufs_pol <- terra::buffer(data_vect_b, width = buf_radius) %>% sf::st_as_sf() # ratio of each nlcd class per buffer - nlcd_at_bufs <- exact_extract(nlcd, - st_geometry(bufs_pol), - fun = "frac", - stack_apply = TRUE, - progress = FALSE) + nlcd_at_bufs <- exactextractr::exact_extract(nlcd, + st_geometry(bufs_pol), + fun = "frac", + stack_apply = TRUE, + progress = FALSE) # select only the columns of interest nlcd_at_bufs <- nlcd_at_bufs[names(nlcd_at_bufs)[grepl("frac_", names(nlcd_at_bufs))]] @@ -98,6 +98,6 @@ calc_nlcd_ratio <- function(data_vect, names(nlcd_at_bufs) <- new_names # merge data_vect with nlcd class fractions (and reproject) new_data_vect <- cbind(data_vect_b, nlcd_at_bufs) %>% - project(crs(data_vect)) + terra::project(crs(data_vect)) return(new_data_vect) } diff --git a/vignettes/calc_nlcd_ratio_monitors.Rmd b/vignettes/calc_nlcd_ratio_monitors.Rmd index c33d9e93..976085d2 100644 --- a/vignettes/calc_nlcd_ratio_monitors.Rmd +++ b/vignettes/calc_nlcd_ratio_monitors.Rmd @@ -42,9 +42,9 @@ Test to see if data is well loaded lat <- c(1900000, 2000000, 2000000, 1900000) lon <- c(-1600000, -1600000, -1500000, -1500000) ext <- vect(cbind(lon, lat), type = "polygons", crs = crs(nlcd_2021)) -nlcd_small <- terra::crop(nlcd_2021, ext, mask = T) +nlcd_small <- terra::crop(nlcd_2021, ext, mask = TRUE) plot(nlcd_2021) -plot(ext, add = T, col = "black") +plot(ext, add = TRUE, col = "black") plot(nlcd_small) point1 <- cbind(-2e6, 3e6) From 4ac60cd269e2e871cff0da16c1ee3d416205dc09 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Mon, 4 Dec 2023 15:07:34 -0500 Subject: [PATCH 09/23] #196 trying to solve pull request --- tests/testthat/test-calc-nlcd-ratio.R | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/testthat/test-calc-nlcd-ratio.R b/tests/testthat/test-calc-nlcd-ratio.R index d067b86b..9c1dbcd7 100644 --- a/tests/testthat/test-calc-nlcd-ratio.R +++ b/tests/testthat/test-calc-nlcd-ratio.R @@ -1,3 +1,5 @@ +withr::local_package("dplyr") + test_that("Check extract_nlcd_ratio works", { point_wa <- cbind(lon = -119.88, lat = 47.709, dem = 3) # washington state point_nc <- cbind(lon = -78.836, lat = 35.893, dem = 10) # north carolina From c1ccdc84485cdda483b55755858adcca86a41a86 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Mon, 4 Dec 2023 15:13:46 -0500 Subject: [PATCH 10/23] #196 trying to solve pull request --- R/calc_nlcd_ratio.R | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/R/calc_nlcd_ratio.R b/R/calc_nlcd_ratio.R index 4bc1e82a..4519006b 100644 --- a/R/calc_nlcd_ratio.R +++ b/R/calc_nlcd_ratio.R @@ -1,5 +1,6 @@ # needs terra, exactextractr, spData, sf - +withr::local_package("dplyr") +withr::local_package("spData") nlcd_classes <- list(value = c(0, 11, 21, 22, 23, 24, 31, 41, 42, 43, 52, 71, 81, 82, 90, 95), @@ -70,7 +71,7 @@ calc_nlcd_ratio <- function(data_vect, data_vect_b <- data_vect %>% terra::intersect(x = us_main) if (!terra::same.crs(data_vect_b, nlcd)) { - data_vect_b <- project(data_vect_b, crs(nlcd)) + data_vect_b <- terra::project(data_vect_b, crs(nlcd)) } # create circle buffers with buf_radius bufs_pol <- terra::buffer(data_vect_b, width = buf_radius) %>% From bd107779e6209e105d659bb67427eaac1ca5bf22 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Mon, 4 Dec 2023 15:41:41 -0500 Subject: [PATCH 11/23] #196 trying to solve pull request --- DESCRIPTION | 2 +- R/calc_nlcd_ratio.R | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 2c65a37e..b7c101c8 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -8,7 +8,7 @@ Authors@R: email = "kyle.messier@nih.gov")) Description: Near Real Time air pollution model results and code produced by the SET group. It is fully tested, versioned, and open source and open access. Depends: R (>= 4.1.0) -Imports: dplyr, sf, stats, terra, methods, BART, data.table +Imports: dplyr, sf, stats, terra, methods, BART, data.table, spData Suggests: covr, withr, knitr, rmarkdown, testthat (>= 3.0.0), stars, sftime Encoding: UTF-8 VignetteBuilder: knitr, rmarkdown diff --git a/R/calc_nlcd_ratio.R b/R/calc_nlcd_ratio.R index 4519006b..7647a3de 100644 --- a/R/calc_nlcd_ratio.R +++ b/R/calc_nlcd_ratio.R @@ -1,6 +1,7 @@ # needs terra, exactextractr, spData, sf withr::local_package("dplyr") withr::local_package("spData") +globalVariables(c("us_states", "%>%")) nlcd_classes <- list(value = c(0, 11, 21, 22, 23, 24, 31, 41, 42, 43, 52, 71, 81, 82, 90, 95), From 76492414ef6212b34839e87ef641e3da92399f56 Mon Sep 17 00:00:00 2001 From: Eva Marques Date: Tue, 5 Dec 2023 10:51:08 -0500 Subject: [PATCH 12/23] add nlcd testdata and correct calc_nlcd files --- R/calc_nlcd_ratio.R | 15 +- .../nlcd_2019_land_cover_l48_20210604.tif | Bin 0 -> 2717375 bytes ...d_2019_land_cover_l48_20210604.tif.aux.xml | 2346 +++++++++++++++++ .../nlcd_2021_land_cover_l48_20230630.tif | Bin 0 -> 2709877 bytes ...d_2021_land_cover_l48_20230630.tif.aux.xml | 2346 +++++++++++++++++ tests/testthat/test-calc-nlcd-ratio.R | 57 +- vignettes/calc_nlcd_ratio_monitors.Rmd | 3 +- 7 files changed, 4747 insertions(+), 20 deletions(-) create mode 100644 tests/testdata/nlcd_2019_land_cover_l48_20210604.tif create mode 100644 tests/testdata/nlcd_2019_land_cover_l48_20210604.tif.aux.xml create mode 100644 tests/testdata/nlcd_2021_land_cover_l48_20230630.tif create mode 100644 tests/testdata/nlcd_2021_land_cover_l48_20230630.tif.aux.xml diff --git a/R/calc_nlcd_ratio.R b/R/calc_nlcd_ratio.R index 7647a3de..e9a3bb3b 100644 --- a/R/calc_nlcd_ratio.R +++ b/R/calc_nlcd_ratio.R @@ -37,10 +37,12 @@ nlcd_classes <- as.data.frame(nlcd_classes) #' @param buf_radius numeric (non-negative) giving the #' radius of buffer around points #' @param year numeric giving the year of NLCD data used +#' @param nlcd_path character giving nlcd data path #' @export calc_nlcd_ratio <- function(data_vect, buf_radius = 1000, - year = 2021) { + year = 2021, + nlcd_path) { # check inputs if (!is.numeric(buf_radius)) { stop("buf_radius is not a numeric.") @@ -52,11 +54,16 @@ calc_nlcd_ratio <- function(data_vect, stop("year is not a numeric.") } if (class(data_vect)[1] != "SpatVector") { - stop("data_vect is not a terra::SpatVector") + stop("data_vect is not a terra::SpatVector.") + } + if (!is.character(nlcd_path)) { + stop("nlcd_path is not a character.") + } + if (!file.exists(nlcd_path)) { + stop("nlcd_path does not exist.") } # open nlcd file corresponding to the year - path_data <- "./input/nlcd/raw/" - nlcd_file <- list.files(path_data, + nlcd_file <- list.files(nlcd_path, pattern = paste0("nlcd_", year, "_.*.tif$"), full.names = TRUE) if (length(nlcd_file) == 0) { diff --git a/tests/testdata/nlcd_2019_land_cover_l48_20210604.tif 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