The distanceto package is designed to quickly sample distances from points features to other vector layers. Normally the approach for calculating distance to (something) involves generating distance surfaces using raster based approaches eg. raster::distance or gdal_proximity and subsequently point sampling these surfaces. Since raster based approaches are a costly method that frequently leads to memory issues or long and slow run times with high resolution data or large study sites, we have opted to compute these distances using vector based approaches. As a helper, there’s a decidedly low-res raster based approach for visually inspecting your region’s distance surface. But the workhorse is distance_to. See the Example.
install.packages('distanceto', repos = 'https://robitalec.r-universe.dev')
library(distanceto) library(sf)
## Linking to GEOS 3.11.2, GDAL 3.7.0, PROJ 9.2.0; sf_use_s2() is TRUE
# Load nc data
nc <- st_read(system.file("shape/nc.shp", package="sf"))
## Reading layer `nc' from data source
## `/home/alecr/R/x86_64-pc-linux-gnu-library/4.3/sf/shape/nc.shp'
## using driver `ESRI Shapefile'
## Simple feature collection with 100 features and 14 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965
## Geodetic CRS: NAD27
# Set number of sampling points npts <- 1e3 # Sample points in nc ncpts <- st_sample(nc, npts) # Select first 5 of nc ncsub <- nc[1:5,] # Measure distance from ncpts to first 5 of nc dists <- distance_to(ncpts, ncsub, measure = 'geodesic') head(dists, 30)
## [1] 237543.35 217923.10 91920.82 225703.62 63642.69 141852.37 178301.66
## [8] 88882.68 20298.52 0.00 100173.24 149001.91 68735.30 11992.49
## [15] 151591.39 162214.72 67969.38 227235.50 49860.75 42067.82 50899.94
## [22] 69211.60 111186.57 35096.09 95508.78 105467.67 31168.95 209061.13
## [29] 48339.16 25743.09
# Add to ncpts ncpts$dist <- dists
nngeo::st_nngdal_proximityraster::distanceRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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