shorelines, _ = rasterize(shorelines_path, affine=affine, shape=shape)
shorelines = np.logical_not(shorelines).astype(int)
lakes, _ = rasterize(lakes_path, affine=affine, shape=shape)
rivers, _ = rasterize(rivers_path, affine=affine, shape=shape)
water = shorelines + lakes + rivers
water_output_raster_path = "water_binary.tif"
export_raster(water, affine, water_output_raster_path)
# -----------------------------------------------------------------------------
# import rasterio
# water_src = rasterio.open(water_output_raster_path)
# water = water_src.read()[0]
# affine = water_src.affine
distance_output_raster_path = "water_distance.tif"
def raster_conditional(rarray):
return (rarray == 1)
dist = build_distance_array(water,
affine=affine,
output=distance_output_raster_path,
conditional=raster_conditional)
pixel_size = 0.01
rasterized_features_path = "{0}/data/{1}_binary.tif".format(base, out_name)
shp = fiona.open(shp_path, "r")
rv_array, affine = rasterize(shp,
pixel_size=pixel_size,
bounds=shp.bounds,
output=rasterized_features_path)
# export_raster(rv_array, affine, rasterized_features_path)
# print rv_array
print rv_array.shape
print affine
# -----------------------------------------------------------------------------
distance_raster_path = "{0}/data/{1}_distance.tif".format(base, out_name)
def raster_conditional(rarray):
return (rarray == 1)
build_distance_array(rv_array,
affine=affine,
output=distance_raster_path,
conditional=raster_conditional)