changed README

added a way to select state in 03_make_figures.R

.gitignore

@@ -4,3 +4,5 @@
 .Ruserdata
 
 data/*
+
+figures/*

01_download_data.R

@@ -30,7 +30,6 @@ extent <- list(longitude_max = max(extent$longitude),
                latitude_max = max(extent$latitude),
                latitude_min = min(extent$latitude))
 
-
 # get watershed areas
 extent_huc <- get_huc(AOI = extent_poly, buffer = 0, type = "huc04")
 

02_process_data.R

@@ -1,4 +1,5 @@
 # load libraries
+library(nhdplusTools)
 library(sf)
 
 # reload extent data so you don't need to run the download data script again
@@ -26,13 +27,18 @@ extent <- list(longitude_max = max(extent$longitude),
 # load and crop hydrologic data
 data <- list(NULL)
 sf_use_s2(FALSE)
+layers <- c("NHDArea",
+            "NHDFlowline",
+            "NHDWaterbody",
+            "NHDPlusLandSea")
 for (layer in layers){
   data[[layer]] <- st_crop(st_read(paste0(nhdplusTools_data_dir(),"/data.gpkg"), layer = layer), y = extent_bbox)
 }
 
 # load political boundaries
-political <- list(NULL)
-political_boundaries <- list.files(path = paste0(data_dir, "/political_boundaries"))
-for (boundary in political_boundaries) {
-  political[[boundary]] <- st_read(paste0(data_dir, "/political_boundaries/", boundary))
-}
+political <- st_crop(
+      st_transform(
+        st_read(
+          paste0(data_dir, "/political_boundaries/bound_p/boundaries_p_2021_v3.shp")),
+        crs=crs),
+      y = extent_bbox)

03_make_figures.R

@@ -7,21 +7,32 @@ ifelse(!dir.exists(file.path(getwd(), figure_dir)), dir.create(file.path(getwd()
 
 # set colors
 colors <- list(darkblue = "#062e57",
-         lightblue = "#b1dcf3")
+               lightblue = "#b1dcf3",
+               lightgrey = "#6D6D6D")
 
 # set dimensions of figures
-width <- 8.5
-height <- 11
+width <- 8
+height <- 10
 units <- "in"
 res <- 600
 margin <- 0
 
+# set state to highlight
+state <- c("Wisconsin")
 
 # plot map
 plot_map <- function () {
   plot(sf::st_geometry(extent_poly), 
+       col = colors$lightblue,
+       border = NA)
+  plot(sf::st_geometry(political$geometry), 
+       col = colors$lightgrey,
+       border = NA,
+       add = TRUE)
+  plot(sf::st_geometry(political[political$NAME_En %in% state, ]), 
        col = colors$darkblue,
- border = "black")
+       border = NA,
+       add = TRUE)
   plot(sf::st_geometry(data$NHDWaterbody), 
        col = colors$lightblue, 
        border = NA,
@@ -35,19 +46,35 @@ plot(sf::st_geometry(data$NHDFlowline),
        lwd = data$NHDFlowline$TotDASqKM^0.3204*0.0446,
        border = NA,
        add = TRUE)
+  plot(sf::st_geometry(extent_poly), 
+       col = NA,
+       border = "black",
+       lwd = 1,
+       add = TRUE)
 }
 
 # save figure
-tiff(filename = paste0(figure_dir,"/map.tiff"),
-     width = width,
-     height = height,
-     units = units,
-     res = res,
-     compression = "lzw")
-par(mai=c(margin, margin, margin, margin))
-par(mar=c(1,1,1,1))
-plot_map()
-dev.off()
+# tiff(filename = paste0(figure_dir,"/map.tiff"),
+#    width = width,
+#    height = height,
+#    units = units,
+#    res = res,
+#    compression = "lzw")
+# par(mai=c(margin, margin, margin, margin))
+# par(mar=c(1,1,1,1))
+# plot_map()
+# dev.off()
+# 
+# jpeg(filename = paste0(figure_dir,"/map.jpg"),
+#    width = width,
+#    height = height,
+#    units = units,
+#    res = res,
+#    quality = 93)
+# par(mai=c(margin, margin, margin, margin))
+# par(mar=c(1,1,1,1))
+# plot_map()
+# dev.off()
 
 png(filename = paste0(figure_dir, "/map.png"),
     width = width,

README.md

@@ -6,10 +6,10 @@ Downloads USGS data for a given location and makes a pretty map of the rivers. T
 1. Clone the repository
 2. Edit the extent of the map you want to produce in `extent.csv`. Include lat/long coordinates of two opposite corners (i.e. top-left and bottom-right).
 3. Run the scripts:
-- `01_download_data.R` - This will take the longest. The whole of Wisconsin downloads ~12GB of data
-- `02_process_data.R`
-- `03_make_figures.R`
+- `01_download_data.R` - This will take the longest. The whole of Wisconsin downloads ~12GB of data. It downloads the data to a `data` directory in the repo
+- `02_process_data.R` - This loads and processes the data. After the initial run downloading the data for a given extent, you can start with this script.
+- `03_make_figures.R` - This generates figures in a `figures` directory in the repo.
 
 
 ## Example figure
-![example figure](figures/map.png)
+![example figure](example.png)

extent.csv

@@ -1,3 +1,3 @@
 latitude,longitude
-47.33402,-93.10419
-42.43754,-86.832
+47.73208,-93.55154
+41.49273,-86.64896

extent_olympic.csv

@@ -0,0 +1,3 @@
+latitude,longitude
+48.50775,-124.91972
+46.88398,-122.07015

extent_wa.csv

@@ -0,0 +1,3 @@
+latitude,longitude
+49.17657,-125.43151
+45.23644,-115.81455

extent_wi.csv

@@ -0,0 +1,3 @@
+latitude,longitude
+47.73208,-93.55154
+41.49273,-86.64896