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)
☆60Nov 1, 2022Updated 3 years ago
Alternatives and similar repositories for SRGCNN
Users that are interested in SRGCNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Iterative heuristics for endogenous spatial regimes delineation (IJGIS 2023)☆12Dec 27, 2024Updated last year
- The implementation of GWRBoost.☆19Oct 2, 2024Updated last year
- Geographically Weighted Artificial Neural Network☆29Dec 19, 2025Updated 4 months ago
- ☆23Dec 27, 2023Updated 2 years ago
- Code for learning with data heterogeneity (ICDM'21 Best Paper Award)☆26Mar 13, 2026Updated last month
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Spatial data modeling library - Geographically Weighted Random Forest (Regressor and Classifier)☆13Apr 12, 2023Updated 3 years ago
- This is the code repository for the paper entitked Towards General-Purpose Representation Learning of Polygonal Geometries.☆21Oct 27, 2023Updated 2 years ago
- Benchmarking of spatial regression methods with respect to spatial heterogeneity, and providing a Python implementation of spatial Random…☆17Apr 4, 2023Updated 3 years ago
- Code for the paper - "Bayesian deep learning for spatial interpolation in the presence of auxiliary information"☆27Nov 19, 2021Updated 4 years ago
- SKAL for remote sensing scene image classification☆38Jun 4, 2024Updated last year
- Spatial Statistics and Machine Learning Offered at FSU Geography☆18Mar 23, 2026Updated last month
- Online tutorial on how to use Ensemble Machine Learning for spatial and spatiotemporal interpolation / predictions☆24Mar 13, 2023Updated 3 years ago
- Estimate vegetation height from satellite images using deep learning.☆21Jun 17, 2022Updated 3 years ago
- A basic example of using physics informed machine learning for enhanced structural dynamics modeling☆10Jul 7, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A Reciprocal Statistic for Detecting the Full Range of Local Patterns of Bivariate Spatial Association☆12May 25, 2025Updated 11 months ago
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆27Mar 27, 2022Updated 4 years ago
- SXL: Spatially explicit learning of geographic processes with auxiliary tasks☆15Nov 26, 2021Updated 4 years ago
- a pytorch version implement of paper "Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning"☆13Jul 19, 2022Updated 3 years ago
- ☆23Nov 30, 2020Updated 5 years ago
- Code and data repository for the paper☆52Apr 11, 2025Updated last year
- A PyTorch implementation of the Geographically Neural Network Weighted Regression (GNNWR) and its extensions☆186Jan 21, 2026Updated 3 months ago
- Leaf and canopy radiative transfer modeling tools built on PROSPECT-D and SAIL☆14Dec 19, 2023Updated 2 years ago
- geospatial-study☆29May 23, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- a PyTorch implementation of the paper "Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic informa…☆116Dec 29, 2021Updated 4 years ago
- multi-scale weakly supervised learning☆13Oct 24, 2023Updated 2 years ago
- 介绍免费遥感数据源的下载和使用方法:http://rs-freedatasource.readthedocs.io☆71Sep 15, 2018Updated 7 years ago
- The codes and data of paper "cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction"☆10Aug 28, 2020Updated 5 years ago
- A geospatial framework for performing non-linear regression, designed to effectively model complex spatial relationships.☆35Apr 4, 2025Updated last year
- ☆22Jan 8, 2026Updated 4 months ago
- 2024 SWOT Early Career Researcher Workshop using Binder☆15Apr 12, 2026Updated 3 weeks ago
- Zhu et al., So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification, IEEE Geoscience and Remote Sensing Magazine,…☆45Apr 7, 2026Updated last month
- 基于塔顶摄像头的能见度反算项目☆15Feb 22, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This project implements two dynamic spatiotemporal interpolation (DST) methods, i.e., coarse-grained DST (CGDST) and fine-grained DST (FG…☆11Apr 15, 2022Updated 4 years ago
- A graph convolutional neural network for classification of building patterns using spatial vector data☆72Jan 7, 2021Updated 5 years ago
- Machine learning for spatial data: This repository contains the R-scripts for the analysis described in the paper "Importance of spatial …☆13Oct 29, 2019Updated 6 years ago
- 3D thermal physical model for the lunar surface☆11Jul 18, 2021Updated 4 years ago
- Notebook of Google Earth Engine Python API☆14Feb 12, 2026Updated 2 months ago
- MuseoToolBox : a python library for remote sensing scripts☆37Aug 3, 2020Updated 5 years ago
- ☆13Jun 24, 2024Updated last year