NUmPyGIS. A Python library for GIS using numpy only.
Project description
NUmPyGIS
A Python library for GIS using numpy only.
Objective
The primary objective of this library is to provide a highly performant API for GIS functionality such as polygon simplification, smoothing, validity check. A core design decision is that the library be only dependent on numpy and nothing else. There is a plethora of libraries in the GIS ecosystem today, most of which are not of general use-case. Another design decision is that this library will work only at polygon level. This way, the expected data structure of both input and output will always be same.
Generalization Algorithms Supported
- Vertex Cluster Reduction for polygon simplification
- Douglas-Peucker algorithm for polygon simplification
- Lang algorithm for polygon simplification
- McMaster's sliding average polygon smoothing algorithm
- Taubin-Laplacian polygon smoothing algorithm
- Snakes polygon smoothing algorithm
- B-spline snakes polygon smoothing algorithm
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