A PyTorch implementation of the Geographically Neural Network Weighted Regression (GNNWR) and its extensions

Fast Geographically Weighted Regression (FastGWR)

Investigates deterministic prime-gap interiors using the Divisor Normalization Identity (DNI). Establishes the Gap Winner Rule (GWR) the raw-Z maximizer is always the leftmost min-d(n) carrier. Validates the No-Later-Simpler-Composite Theorem with zero violations through 10^18. Documents hierarchical first-arrival laws and square-phase terminal.

A lightweight Python tool for visualizing coefficient surfaces and uncertainty estimates from spatially varying coefficient (SVC) models. Designed for simplicity, clarity, and reproducibility, svc-viz lets users generate interpretable maps with minimal code and supports outputs from MGWR, GWR, and other SVC frameworks.

A Shiny application for visualizing Geographically Weighted Regression (GWR) results in an interactive 3D environment. Ideal for educational purposes and exploring spatial data relationships. Built with R, Shiny, and plotly.

Compared Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) using R programming with interpretation

All source of R codes for the replication of our results and figures on the paper, published in the journal of Health & Place.

LH공모전 : [오산시]어린이 교통사고 위험지역 도출 최우수(1위) Repo

Universal agent skill for GNNWR spatial intelligent regression — spatially varying coefficients, GTNNWR spatiotemporal models, coefficient mapping, and diagnostic analysis. Part of geoscience-skills.

Geographically Weighted Negative Binomial Regression in Python - local spatial modeling for over dispersed count data.

Data-driven EV charging site suitability model for California using DBSCAN gap detection, Multi-Criteria Evaluation, and Geographically Weighted Regression across 2,007 ZCTAs. Python · GeoPandas · mgwr · Folium.

GIS analysis of the electoral success of the Czech Pirate Party in the 2025 parliamentary election.

Volkswirtschaft.

MUSA 5000 homeworks.

A visual and spatial analysis of London's Airbnb market using K-Means clustering and Geographically Weighted Regression (GWR).

Estimate building volumes and gross floor areas from Swiss elevation models (swissALTI3D + swissSURFACE3D) and cadastral footprints. Voxel-based pipeline with optional GWR-based floor area estimation.

Pemodelan Geographically Weighted Ridge Regression pada Kasus Tuberkulosis di Indonesia (Geographically Weighted Ridge Regression Modeling in Tuberculosis Cases in Indonesia)

GWR model analysing the relationship between access to greenspace and deprivation in Bradford

Spatial statistics lab for QGIS planning workflows - hot spots, LISA, Spatial Gini, GWR/MGWR and model comparison (Processing).