spatcovar

spatcovar provides a consistent interface for constructing commonly used spatial covariates from polygon data. It computes polygon areas, distances to reference features, intersection counts, line lengths within polygons, polygon overlap areas and shares, and raster zonal summaries while handling coordinate reference system validation, geometry repair, unit conversion, row preservation, and standardised missing-value semantics.

spatcovar builds on established spatial engines (sf, terra, exactextractr) rather than reimplementing the underlying geometry operations.

Installation

Install the development version from GitHub:

# install.packages("pak")
pak::pak("emre-cebeci/spatcovar")

Quick start

library(spatcovar)

regions <- example_polygons()
sites   <- example_points()
routes  <- example_lines()
zones   <- example_grid()
rst     <- example_raster()

# Build several covariates in a pipeline
result <- regions |>
  spat_area(unit = "km2") |>
  spat_count(sites, name = "n_sites") |>
  spat_length(routes, unit = "km") |>
  spat_distance(sites, name = "dist_to_sites") |>
  spat_overlap(zones, measure = "share") |>
  spat_raster(rst, stats = c("mean", "max"), name = "elev")

result

Core functions

CRS handling

• Area, distance, and overlap (spat_area(), spat_distance(), spat_overlap()) use geodesic measurement on geographic CRS (via sf/s2). An optional crs argument is provided when user-selected planar projection is desired.
• Line length (spat_length()) strictly requires a projected CRS for planar clipping and measurement (either on the input data or supplied via the crs argument).
• Feature counting and raster extraction (spat_count(), spat_raster()) validate coordinate reference systems and align source layers internally.

Geometry repair

When repair = TRUE (the default), invalid geometries are repaired on internal copies used for computation. The geometry returned to the user is always the original target geometry.

What spatcovar does not do

spatcovar is a focused package for constructing common spatial covariates from polygon data. It does not provide general GIS manipulation, mapping, geocoding, boundary harmonization, persistent spatial identifiers, areal interpolation methodology, raster processing pipelines, or causal inference tools.

License

MIT