dizhu-gis / SRGCNNLinks
Spatial regression graph convolutional neural networks: Spatial regression analysis conducted in the manner of graph convolutional neural network. Two versions of SRGCNN model are provided in the initial post: a) global regression model (SRGCNN) and b) geographically weighted regression model (SRGCNN-GW)
☆55Updated 2 years ago
Alternatives and similar repositories for SRGCNN
Users that are interested in SRGCNN are comparing it to the libraries listed below
Sorting:
- Fast Geographically Weighted Regression (FastGWR)☆56Updated 3 years ago
- A game theory approach to measuring spatial effects from machine learning models.☆129Updated 2 weeks ago
- Code and data repository for the paper☆49Updated 2 months ago
- Codes for Geographical Convergent Cross Mapping Method, It is designed for to infer causality from spatial cross-sectional data.☆37Updated last month
- Geographically Weighted Artificial Neural Network☆30Updated last month
- Spatial Statistics and Machine Learning Offered at FSU Geography☆14Updated 2 months ago
- An ensemble Framework for Explainable Geospatial Analysis Machine Learning Models☆19Updated last year
- Geographically weighted Random Forest Classification (code repository of PLOS ONE publication)☆28Updated last year
- The Mixed-Cell Cellullar Automata (MCCA) provides a new approach to enable more dynamic mixed landuse modeling to move away from the anal…☆53Updated last year
- TorchSpatial offers a comprehensive framework and benchmark suite designed to advance Spatial Representation Learning (SRL).☆142Updated 2 months ago
- PyTorch implementation of the paper "Positional Encoder Graph Neural Networks for Geographic Data"☆55Updated last year
- ☆57Updated last year
- Spatial data modeling library - Geographically Weighted Random Forest (Regressor and Classifier)☆12Updated 2 years ago
- 🚀 Road network simplification, batch conversion of OSM road multi-lines to single lines 🚀 Detection and export of dead-end roads 🚀 Par…☆51Updated 2 years ago
- Data and codes for MetroGAN☆16Updated 5 months ago
- GEE based SAR-Optical spatial-temporal partitioning and fusion☆15Updated 2 years ago
- ☆26Updated last month
- A PyTorch implementation of the Geographically Neural Network Weighted Regression (GNNWR)☆127Updated last month
- QGIS plugin of geographical detector☆29Updated last year
- Course materials for big data and urban computing (2020 fall semester).☆43Updated 4 years ago
- STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity☆36Updated 10 months ago
- ☆34Updated last year
- Iterative heuristics for endogenous spatial regimes delineation (IJGIS 2023)☆10Updated 5 months ago
- A novel hybrid cellular automata model for LUC simulation, coupling area partitioning and spatiotemporal neighborhood features learning☆21Updated 5 years ago
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆21Updated 3 years ago
- Aiming to understand the factors influencing urban land surface temperature during the day and night☆18Updated 2 years ago
- This is a read-only mirror of the CRAN R package repository. SpatialML — Spatial Machine Learning. Homepage: https://stamatisgeoai.eu/ …☆10Updated last year
- A tool to downscale Landsat Land Surface Temperature to 10 m using Sentinel-2 data in GEE. Attachment for the article in Remote Sensing: …☆53Updated 10 months ago
- ☆10Updated last year
- Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic c…☆71Updated last year