rmapshaper (version 0.5.0)

ms_points: Create points from a polygon layer

Description

Can be generated from the polygons by specifying location to be "centroid" or "inner", OR by specifying fields in the attributes of the layer containing x and y coordinates.

Usage

ms_points(input, location = NULL, x = NULL, y = NULL, ...)

Value

points in the same class as the input.

Arguments

input

input polygons object to convert to points. One of:

• geo_json or character polygons;

• SpatialPolygons*;

• sf or sfc polygons object

location

either "centroid" or "inner". If "centroid", creates points at the centroid of the largest ring of each polygon feature. if "inner", creates points in the interior of the largest ring of each polygon feature. Inner points are located away from polygon boundaries. Must be NULL if x and y are specified. If left as NULL (default), will use centroids.

x

name of field containing x coordinate values. Must be NULL if location is specified.

y

name of field containing y coordinate values. Must be NULL if location is specified.

...

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"

Examples

library(geojsonsf)
library(sf)

poly <- structure("{\"type\":\"FeatureCollection\",
           \"features\":[{\"type\":\"Feature\",\"properties\":
           {\"x_pos\": 1, \"y_pos\": 2},
           \"geometry\":{\"type\":\"Polygon\",
           \"coordinates\":[[[102,2],[102,4],[104,4],[104,2],[102,2]]]}},
           {\"type\":\"Feature\",\"properties\":{\"x_pos\": 3, \"y_pos\": 4},
           \"geometry\":{\"type\":\"Polygon\",
           \"coordinates\":[[[100,2],[98,4],[101.5,4],[100,2]]]}},
           {\"type\":\"Feature\",\"properties\":{\"x_pos\": 5, \"y_pos\": 6},
           \"geometry\":{\"type\":\"Polygon\",
           \"coordinates\":[[[100,0],[100,1],[101,1],[101,0],[100,0]]]}}]}",
           class = c("geojson", "json"))

poly <- geojson_sf(poly)
summary(poly)
plot(poly)

# Convert to points using centroids
out <- ms_points(poly, location = "centroid")
summary(out)
plot(out)

# Can also specify locations using attributes in the data
out <- ms_points(poly, x = "x_pos", y = "y_pos")
summary(out)
plot(out)