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@ -447,6 +447,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
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* [CoastSat](https://github.com/kvos/CoastSat) - CoastSat is an open-source software toolkit written in Python that enables users to obtain time-series of shoreline position at any coastline worldwide from 30+ years (and growing) of publicly available satellite imagery.
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* [CoastSat](https://github.com/kvos/CoastSat) - CoastSat is an open-source software toolkit written in Python that enables users to obtain time-series of shoreline position at any coastline worldwide from 30+ years (and growing) of publicly available satellite imagery.
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* [Turfpy](https://github.com/omanges/turfpy) - This is Python library for performing geo spatial data analysis. This is an python alternative for turf.js.
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* [Turfpy](https://github.com/omanges/turfpy) - This is Python library for performing geo spatial data analysis. This is an python alternative for turf.js.
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* [pyKriging](https://github.com/capaulson/pyKriging) - N-dimensional kriging.
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* [pyKriging](https://github.com/capaulson/pyKriging) - N-dimensional kriging.
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* [HPGL](https://github.com/hpgl/hpgl) - High Perfomance Geostatistics Library.
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## Perl
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## Perl
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