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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