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Multiscale Geographically Weighted Regression (MGWR) mgwr is a Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale. It incorporates the widely used approach to modeling process spatial heterogeneity - Geographically Weighted Regression (GWR) as well as the newly proposed approach - Multiscale GWR (MGWR) which relaxes the assumption that all of the processes being modeled operate at the same spatial scale. Inferences are available for both approaches. WWW: https://mgwr.readthedocs.io/en/latest/ WWW: https://github.com/pysal/mgwr
12 lines
613 B
Plaintext
12 lines
613 B
Plaintext
Multiscale Geographically Weighted Regression (MGWR)
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mgwr is a Python implementation of multiscale geographically weighted regression
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for investigating process spatial heterogeneity and scale. It incorporates the
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widely used approach to modeling process spatial heterogeneity - Geographically
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Weighted Regression (GWR) as well as the newly proposed approach - Multiscale
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GWR (MGWR) which relaxes the assumption that all of the processes being modeled
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operate at the same spatial scale. Inferences are available for both approaches.
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WWW: https://mgwr.readthedocs.io/en/latest/
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WWW: https://github.com/pysal/mgwr
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