Notebooks and libraries for spatial/geo Python explorations
Spatial Modelling for Data Scientists
MGWR 2.0 Software
A C++ library for building geographically weighted models.
Computational Improvements to Multi-scale Geographically Weighted Regression (MGWR)
Compared Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) using R programming with interpretation
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.
Spatial Statistical analyses created using R and RStudio for an "Advanced Statistics for Urban Applications" at Temple University
Evaluate the equity of the change in tree canopy cover across New York City.
(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.
The factors influencing stunting in East Java in 2022 are analyzed using Geographically Weighted Regression (GWR) using R Studio
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