Optimize polygonization and point data loading #9
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Optimize polygonization and point data processing functions to significantly improve performance for large, irregular shape datasets.
The original implementation suffered from inefficient boundary computations, excessive global variable clearing, suboptimal gridding, and redundant calculations, leading to slow performance with large irregular inputs. This PR addresses these bottlenecks by introducing adaptive algorithms for boundary computation and interpolation, streamlining memory management, and modularizing file processing.