Open cphaarmeyer opened 1 year ago
A lot of the time I have datasets with a mix of polygons and multipolygons. It would be helpful (and simpler) if leaf_sf() could just deal with this case.
leaf_sf()
library(simplevis) library(sf) #> Linking to GEOS 3.9.3, GDAL 3.5.2, PROJ 8.2.1; sf_use_s2() is TRUE data <- st_union(example_polygon, by_feature = TRUE) data #> Simple feature collection with 963 features and 2 fields #> Geometry type: GEOMETRY #> Dimension: XY #> Bounding box: xmin: 1090000 ymin: 4748153 xmax: 2089541 ymax: 6194182 #> Projected CRS: NZGD2000 / New Zealand Transverse Mercator 2000 #> First 10 features: #> grid_id density geometry #> 1 12 0.000 POLYGON ((1199950 4815303, ... #> 2 14 0.000 POLYGON ((1249363 4828620, ... #> 3 28 110.454 POLYGON ((1259922 4857799, ... #> 4 88 58.405 POLYGON ((1219940 4927049, ... #> 5 89 62.744 POLYGON ((1239931 4927049, ... #> 6 90 89.362 POLYGON ((1259922 4927049, ... #> 7 91 6.112 POLYGON ((1279913 4927049, ... #> 8 135 0.000 POLYGON ((1149972 4978987, ... #> 9 151 0.000 MULTIPOLYGON (((1140918 498... #> 10 167 0.000 POLYGON ((1149972 5013612, ... # error leaf_sf(data) #> Error in if (geometry_type %in% c("POINT", "MULTIPOINT")) {: the condition has length > 1 # this works invisible(leaf_sf(st_cast(data, "MULTIPOLYGON")))
Created on 2023-01-27 with reprex v2.0.2
I could make a PR for this if you'd like me to.
A lot of the time I have datasets with a mix of polygons and multipolygons. It would be helpful (and simpler) if
leaf_sf()could just deal with this case.Created on 2023-01-27 with reprex v2.0.2
I could make a PR for this if you'd like me to.