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Fishnet split of geometry via shapely
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import os, sys | |
import argparse | |
from shapely.geometry import shape, mapping, box | |
import json | |
def split_geom(geometry, output_dir, base_name, cols, rows): | |
bounds = geometry.bounds | |
xmin = bounds[0] | |
xmax = bounds[2] | |
ymin = bounds[1] | |
ymax = bounds[3] | |
dx = (xmax - xmin) / cols | |
dy = (ymax - ymin) / rows | |
cut_geoms = {} | |
for row in range(0, rows): | |
for col in range(0, cols): | |
b = box(xmin + (col * dx), | |
ymax - ((row + 1) * dy), | |
xmin + ((col + 1) * dx), | |
ymax - (row * dy)) | |
g = geometry.intersection(b) | |
if not g.is_empty: | |
cut_geoms[(col, row)] = g | |
if not os.path.exists(output_dir): | |
os.makedirs(output_dir) | |
for (col, row), geom in cut_geoms.items(): | |
name = "{}_{}_{}".format(base_name, col, row) | |
p = os.path.join(output_dir, "{}.geojson".format(name)) | |
fc = {} | |
fc['type'] = 'FeatureCollection' | |
fc['features'] = [{ 'type': 'Feature', | |
'properties': { 'name': name }, | |
'geometry': mapping(geom) }] | |
with open(p, 'w') as f: | |
f.write(json.dumps(fc, indent=4)) | |
if __name__ == '__main__': | |
parser = argparse.ArgumentParser(description='Split up an AOI.') | |
parser.add_argument('cols', metavar='COLS', type=int, | |
help='Number of cols in the split grid.') | |
parser.add_argument('rows', metavar='ROWS', type=int, | |
help='Number of rows in the split grid.') | |
parser.add_argument('input_path', metavar='INPUT_PATH') | |
parser.add_argument('output_dir', metavar='OUTPUT_DIR') | |
args = parser.parse_args() | |
base_name = os.path.splitext(os.path.basename(args.input_path))[0] | |
gj = json.loads(open(args.input_path).read()) | |
features = gj['features'] | |
if not len(features) == 1: | |
print('Feature collection must only contain one feature') | |
sys.exit(1) | |
geom = shape(features[0]['geometry']) | |
split_geom(geom, args.output_dir, base_name, args.cols, args.rows) |
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This is awesome, was looking for GeoPandas replacement of Arcpy's Fishnet tool and this nails it.