A PyTorch implementation of the Geographically Neural Network Weighted Regression (GNNWR) and its extensions
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- Python
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gwr
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Fast Geographically Weighted Regression (FastGWR)
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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.
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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.
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All source of R codes for the replication of our results and figures on the paper, published in the journal of Health & Place.
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Compared Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) using R programming with interpretation
maps exploratory-data-analysis cross-validation statistical-analysis r-package regression-models r-programming geographically-weighted-regression gwrp gwr ordinary-least-squares weighted-regression geographical-data north-sumatera rasio-kemiskinan
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LH공모전 : [오산시]어린이 교통사고 위험지역 도출 최우수(1위) Repo
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Universal agent skill for GNNWR spatial intelligent regression — spatially varying coefficients, GTNNWR spatiotemporal models, coefficient mapping, and diagnostic analysis. Part of geoscience-skills.
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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.
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MUSA 5000 homeworks.
text-mining statistics text-analysis statistical-analysis logistic-regression knn ols-regression dbscan negative-binomial-regression spatial-statistics spatial-error k-means-clustering statistical-modeling poisson-regression gwr ordinary-least-squares spatial-lag point-density morans-i multinomial-logistic-regression
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A visual and spatial analysis of London's Airbnb market using K-Means clustering and Geographically Weighted Regression (GWR).
python data-science airbnb spatial-analysis t-sne tableau london visual-analytics k-means-clustering geographically-weighted-regression gwr
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GWR model analysing the relationship between access to greenspace and deprivation in Bradford
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A prototype web application for validating and managing property data.
checker data-validation geospatial gis vanilla-js kanban masterdata gwr building-management swisstopo
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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.
real-estate geospatial switzerland survey lidar lv95 dtm digital-terrain-model gwr swisstopo building-volume cadaster floor-area
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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.
number-theory gwr computational-number-theory analytic-number-theory prime-gaps divisor-function gap-winner-rule prime-gap-structure divisor-normalization-identity no-later-simpler-composite-theorem prime-placement prime-squares hierarchical-first-arrival square-phase-closure raw-z-maximizer dn-minimization
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