Tidy vector geometry verbs — geo-vector • tidymapr

Native tidyverse-style wrappers around common sf operations. Inputs accept sf tables or data frames with lon/lat (converted with geo_as_sf()); outputs are sf tibbles. sf reads and writes through GDAL/OGR, so GeoPackage, shapefile, GeoJSON and similar formats work via geo_vector_read() / geo_vector_write() without calling GDAL utilities or the retired rgdal package. Prefer GeoPackage over shapefile for new work.

Usage

geo_buffer(data, dist, lon = lon, lat = lat, ...)

geo_intersection(data, y, lon = lon, lat = lat, ...)

geo_difference(data, y, lon = lon, lat = lat, ...)

geo_union(data, y = NULL, lon = lon, lat = lat, ...)

geo_crop(data, y, lon = lon, lat = lat, ...)

geo_area(data, lon = lon, lat = lat)

geo_centroid(data, lon = lon, lat = lat)

geo_bbox(data, lon = lon, lat = lat)

geo_join(
  data,
  y,
  join = c("intersects", "within", "contains", "nearest"),
  lon = lon,
  lat = lat,
  ...
)

geo_distance_to(data, to, lon = lon, lat = lat, ...)

Arguments

data: An sf object or a data frame with coordinates.
dist: Buffer distance. For geographic CRS, metres (passed through sf::st_buffer with sf::st_transform to an equidistant projection when needed).
lon, lat: Coordinate columns when data is not sf.
...: Passed to the underlying sf helper.
y: Second geometry table for binary operations and joins.
join: Spatial predicate for geo_join(): "intersects", "within", "contains", or "nearest".
to: Geometry or coordinates to measure distance to.

Examples

sites <- geo_as_sf(geo_example_sites("wilhelm"), lon, lat)
buf <- geo_buffer(sites, dist = 5000)
geo_area(buf)
#> # A tibble: 8 × 7
#>   site     lon   lat elevation elevation_band coordinate_note            area_m2
#>   <chr>  <dbl> <dbl>     <int> <fct>          <chr>                        <dbl>
#> 1 MW0200  145. -5.74       200 200 m          published bait GPS, doi:1…  7.85e7
#> 2 MW0700  145. -5.73       700 700 m          published bait GPS, doi:1…  7.85e7
#> 3 MW1200  145. -5.72      1200 1200 m         published bait GPS, doi:1…  7.85e7
#> 4 MW1700  145. -5.76      1700 1700 m         published bait GPS, doi:1…  7.85e7
#> 5 MW2200  145. -5.76      2200 2200 m         published bait GPS, doi:1…  7.85e7
#> 6 MW2700  145. -5.81      2700 2700 m         published bait GPS, doi:1…  7.85e7
#> 7 MW3200  145. -5.80      3200 3200 m         published bait GPS, doi:1…  7.85e7
#> 8 MW3700  145. -5.78      3700 3700 m         published bait GPS, doi:1…  7.85e7