View source: R/SSURGO_FUNCTIONS.R
get_ssurgo | R Documentation |
This is an efficient method for spatially merging several different soil survey areas as well as merging their tabular data.
get_ssurgo(
template,
label,
raw.dir = paste0(tempdir(), "/FedData/raw/ssurgo"),
extraction.dir = paste0(tempdir(), "/FedData/"),
force.redo = FALSE
)
template |
An |
label |
A character string naming the study area. |
raw.dir |
A character string indicating where raw downloaded files should be put. The directory will be created if missing. Defaults to './RAW/SSURGO/'. |
extraction.dir |
A character string indicating where the extracted and cropped SSURGO shapefiles should be put. The directory will be created if missing. Defaults to './EXTRACTIONS/SSURGO/'. |
force.redo |
If an extraction for this template and label already exists, should a new one be created? Defaults to FALSE. |
get_ssurgo
returns a named list of length 2:
'spatial': A Simple Feature
of soil mapunits
in the template, and
'tabular': A named list of data.frames
with the SSURGO tabular data.
A named list containing the 'spatial' and 'tabular' data.
## Not run:
# Get the NRCS SSURGO data (USA ONLY)
SSURGO.MEVE <- get_ssurgo(template = FedData::meve, label = "meve")
# Plot the VEP polygon
plot(meve$geometry)
# Plot the SSURGO mapunit polygons
plot(SSURGO.MEVE$spatial, lwd = 0.1, add = T)
# Or, download by Soil Survey Area names
SSURGO.areas <- get_ssurgo(template = c("CO670", "CO075"), label = "CO_TEST")
# Let's just look at spatial data for CO675
SSURGO.areas.CO675 <- SSURGO.areas$spatial[SSURGO.areas$spatial$AREASYMBOL == "CO075", ]
# And get the NED data under them for pretty plotting
NED.CO675 <- get_ned(template = SSURGO.areas.CO675, label = "SSURGO_CO675")
# Plot the SSURGO mapunit polygons, but only for CO675
plot(NED.CO675)
plot(SSURGO.areas.CO675, lwd = 0.1, add = T)
## End(Not run)
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