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.

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

GWR provides a local model of the variable or process you are trying to understand or predict by fitting a regression equation to every point in the DataFrame.

This script loads the .tsf file generated from the GWR superconducting relative gravimeter iGrav and converts them to the CSV format. The generated CSVs will also be cleaned up from errors, such as NaN-only rows or time jumps due to GPS connection

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

Fast Geographically Weighted Regression (FastGWR)

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

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

Volkswirtschaft.