copy_fields: fields to copy. The first instance of each field will be copied to the aggregated feature.
weight: Name of an attribute field for generating weighted centroids (points only).
snap: Snap together vertices within a small distance threshold to fix small coordinate misalignment in adjacent polygons. Default TRUE.
...: Arguments passed on to apply_mapshaper_commands
force_FC: should the output be forced to be a FeatureCollection (or sf object or Spatial*DataFrame) even if there are no attributes? Default TRUE. If FALSE and there are no attributes associated with the geometries, a GeometryCollection (or Spatial object with no dataframe, or sfc) will be output.
sys: Should the system mapshaper be used instead of the bundled mapshaper? Gives better performance on large files. Requires the mapshaper node package to be installed and on the PATH.
sys_mem: How much memory (in GB) should be allocated if using the system mapshaper (sys = TRUE)? Default 8. Ignored if sys = FALSE. This can also be set globally with the option "mapshaper.sys_mem"
quiet: If sys = TRUE, should the mapshaper messages be silenced? Default FALSE. This can also be set globally with the option "mapshaper.sys_quiet"
Returns
the same class as the input
Examples
library(geojsonsf)library(sf)poly <- structure('{"type":"FeatureCollection","features":[{"type":"Feature","properties":{"a":1,"b":2},"geometry":{"type":"Polygon","coordinates":[[[102,2],[102,3],[103,3],[103,2],[102,2]]]}},{"type":"Feature","properties":{"a":5,"b":3},"geometry":{"type":"Polygon","coordinates":[[[100,0],[100,1],[101,1],[101,0],[100,0]]]}}]}', class = c("geojson","json"))poly <- geojson_sf(poly)plot(poly)length(poly)poly
# Dissolve the polygonout <- ms_dissolve(poly)plot(out)length(out)out
# Dissolve and summing columnsout <- ms_dissolve(poly, sum_fields = c("a","b"))plot(out)out