GitHub topics: geographically-weighted-regression
Ziqi-Li/MGWR-GUI
MGWR 2.0 Software
Language: Python - Size: 259 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 15 - Forks: 6

urschrei/Geopython
Notebooks and libraries for spatial/geo Python explorations
Language: Jupyter Notebook - Size: 78.4 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 362 - Forks: 68

GDSL-UL/san
Spatial Modelling for Data Scientists
Language: TeX - Size: 523 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 84 - Forks: 19

GWmodel-Lab/libgwmodel
A C++ library for building geographically weighted models.
Language: C++ - Size: 2.05 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 10 - Forks: 1

yane07/stunting-Jatim-2022
The factors influencing stunting in East Java in 2022 are analyzed using Geographically Weighted Regression (GWR) using R Studio
Size: 2.41 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

elvano22/Poverty-Analysis
Size: 225 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

dlevine01/nyc-tree-canopy
Evaluate the equity of the change in tree canopy cover across New York City.
Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

DongSooMikeSeo/kingcountyvoting_fullstack
(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.
Language: HTML - Size: 14.5 MB - Last synced at: about 24 hours ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

c040120/com_improv_mgwr_data_codes
Computational Improvements to Multi-scale Geographically Weighted Regression (MGWR)
Language: Jupyter Notebook - Size: 7.96 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 2

nanotubing/statistics
Spatial Statistical analyses created using R and RStudio for an "Advanced Statistics for Urban Applications" at Temple University
Language: R - Size: 69.9 MB - Last synced at: 6 days ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
