revrt.routing.utilities.map_to_costs#

map_to_costs(route_points, crs, transform, shape)[source]#

Map route table to cost indices and drop out-of-bounds rows

Parameters:

route_points (pandas.DataFrame) – Route definitions table with at least start_lat, start_lon, end_lat, and end_lon coordinate columns.
crs (str or pyproj.crs.CRS) – Coordinate reference system for the cost raster.
transform (affine.Affine) – Rasterio affine transform giving pixel origin and resolution.
shape (tuple) – Raster height and width for bounds checking.

Returns:

pandas.DataFrame – Updated route table filtered to routes within the cost domain.