geospatial-analysis

Geopandas distance calculations require projecting to a metric coordinate system like EPSG:4087 before computing distances to ensure accurate spatial queries and reliable geographic measurements.

Use geopandas spatial operations such as within and distance to filter earthquake datasets against plate boundary geometries, applying unary_union to merge boundaries for accurate spatial analysis.

Reproject coordinate systems to a metric CRS before any distance calculations or spatial filtering workflows, as handling CRS properly prevents inaccurate geospatial measurements across geographic datasets.

Yes, combining geopandas, shapely, and pandas workflows supports plate tectonics research by enabling spatial filtering, boundary merging, and accurate distance computations for earthquake and GIS data.

The best way to handle CRS transformations in geospatial data exploration is projecting datasets to a metric coordinate system such as EPSG:4087 before running distance and spatial operations.