Update to extract data mask for choosing largest region by area #10
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Pull Request Overview
This PR modifies the data mask extraction script to select the largest region by area when multiple valid data regions are found, rather than processing all regions. The change improves the script's handling of multi-region scenarios by automatically choosing the most significant region.
- Modified logic to calculate areas for each valid data region and select the largest one
- Updated warning message to clarify that the largest region will be chosen
- Added output directory existence check to handle empty directory paths
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| for i in range(len(geoms)): | ||
| if areas[i] == max(areas): |
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The max(areas) function is called in each iteration of the loop, resulting in O(n²) time complexity. Calculate max(areas) once before the loop to improve performance.
| for i in range(len(geoms)): | |
| if areas[i] == max(areas): | |
| max_area = max(areas) | |
| for i in range(len(geoms)): | |
| if areas[i] == max_area: |
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| shape = shapely.geometry.shape(geom) | ||
| exterior_ring = shape.exterior | ||
| exterior_coords = list(exterior_ring.coords) | ||
| exterior_shape = shapely.geometry.Polygon(exterior_coords) | ||
| geom = shapely.geometry.mapping(exterior_shape) |
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The geometry processing code (lines 84-88) is duplicated logic that converts a geometry to its exterior polygon. This should be extracted into a helper function or the original geom could be used directly if exterior extraction isn't necessary.
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| row = {"type": "Feature", "geometry": geom, "properties": {"id": i}} | ||
| f.write(row) | ||
| shape = shapely.geometry.shape(geom) |
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The geometry is being converted to a shapely object twice - once in the selection logic and again here. Consider reusing the shape object from the selection logic to avoid redundant conversion.
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