Open Snafkin547 opened 4 days ago
You can run this function in this way:
Download a shapefile of U.S. states (if not already available)
url <- "https://www2.census.gov/geo/tiger/GENZ2020/shp/cb_2020_us_state_20m.zip"
download.file(url, destfile = "polygon/us_states.zip")
unzip("polygon/us_states.zip", exdir = "polygon/us_states")
Load the shapefile
us_states <- st_read("polygon/us_states/cb_2020_us_state_20m.shp")
saveRDS(us_states, "polygon/polygon_us_states.rds")
Load the downscale_output list
downscale_output <- readRDS("path/to/your raster file")
read_raster <- function(file_path) {
rast(file_path)
}
downscale_output$maps <- lapply(downscale_output$maps, read_raster)
us_states <- readRDS("polygon/us_states.rds")
state = "MA"
polygon_data <- st_transform(us_states[us_states$STUSPS == state, ], crs = "EPSG:4326")
massachusetts <- aggregate_by_state(downscale_output, polygon_data)
print(massachusetts)
plot(st_geometry(massachusetts))
Description
The aggregate function, created using exactextractr, enables the aggregation (sum and average) of previously downscaled carbon flux output from the NA_downscale function. Users can aggregate data for spatial areas of their choice by providing appropriate polygon data.
Motivation and Context
This change is required to enable the aggregation of downscaled carbon flux data to user-specified spatial units. It solves the problem of needing to summarize large-scale raster data into meaningful aggregated values (sum and average) for specific areas, aiding in spatial analysis and decision-making.
Review Time Estimate
Types of changes
Checklist: