geographically-weighted-regression
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Notebooks and libraries for spatial/geo Python explorations
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Dec 15, 2025 - Jupyter Notebook
Spatial Modelling for Data Scientists
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Apr 19, 2024 - TeX
MGWR 2.0 Software
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Sep 18, 2025 - Python
A C++ library for building geographically weighted models.
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Aug 12, 2025 - C++
Computational Improvements to Multi-scale Geographically Weighted Regression (MGWR)
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Mar 31, 2019 - Jupyter Notebook
Compared Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) using R programming with interpretation
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Jan 30, 2023
Spatial Statistical analyses created using R and RStudio for an "Advanced Statistics for Urban Applications" at Temple University
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Mar 18, 2019 - R
The factors influencing stunting in East Java in 2022 are analyzed using Geographically Weighted Regression (GWR) using R Studio
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Dec 8, 2024
Evaluate the equity of the change in tree canopy cover across New York City.
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Oct 3, 2022 - Jupyter Notebook
Comparing a global Ordinary Least Squares (OLS) to a Multiscale Geographically Weighted Regression (MGWR) model. R code is provided for those interested in creating local parameter maps.
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Dec 11, 2024 - TeX
(In development) Interactive mapping project for political marketers to spot election precincts with diverging voting results on two similar progressive issues. In addition, marketers can flag those precincts and leave comments.
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Oct 24, 2021 - HTML
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