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)☆13Dec 27, 2024Updated last year
- The code to conduct Bayesian geographically weighted regression☆12Feb 20, 2022Updated 4 years ago
- ☆25Dec 27, 2023Updated 2 years ago
- Code for learning with data heterogeneity (ICDM'21 Best Paper Award)☆26Mar 13, 2026Updated 7 months ago
- Spatial data modeling library - Geographically Weighted Random Forest (Regressor and Classifier)☆13Apr 12, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Spatial Statistics and Machine Learning Offered at FSU Geography☆18Mar 23, 2026Updated 6 months ago
- Online tutorial on how to use Ensemble Machine Learning for spatial and spatiotemporal interpolation / predictions☆24Mar 13, 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
- The implementation of GWRBoost.☆22Jul 2, 2026Updated 3 months ago
- Notebook of Google Earth Engine Python API☆14Aug 27, 2026Updated last month
- A PyTorch implementation of the Geographically Neural Network Weighted Regression (GNNWR) and its extensions☆200Jun 14, 2026Updated 4 months ago
- Benchmarking of spatial regression methods with respect to spatial heterogeneity, and providing a Python implementation of spatial Random…☆18Apr 4, 2023Updated 3 years ago
- SKAL for remote sensing scene image classification☆36Jun 4, 2024Updated 2 years ago
- Code for the paper - "Bayesian deep learning for spatial interpolation in the presence of auxiliary information"☆28Nov 19, 2021Updated 4 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.
- This repository contains a study how we can examine the vegetation cover of a region with the help of satellite data. The notebook in thi…☆13Dec 25, 2018Updated 7 years ago
- ☆17Mar 19, 2026Updated 6 months ago
- Estimate vegetation height from satellite images using deep learning.☆22Jun 17, 2022Updated 4 years ago
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆27Mar 27, 2022Updated 4 years ago
- A basic example of using physics informed machine learning for enhanced structural dynamics modeling☆10Jul 7, 2023Updated 3 years ago
- This repository contains content related to 2D and 3D lane detection, as well as video lane detection. There are not only papers here, bu…☆14Sep 1, 2024Updated 2 years ago
- A Reciprocal Statistic for Detecting the Full Range of Local Patterns of Bivariate Spatial Association☆12May 25, 2025Updated last year
- Code and data repository for the paper☆53Apr 11, 2025Updated last year
- Leaf and canopy radiative transfer modeling tools built on PROSPECT-D and SAIL☆16Aug 4, 2026Updated 2 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- a pytorch version implement of paper "Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning"☆12Jul 19, 2022Updated 4 years ago
- SXL: Spatially explicit learning of geographic processes with auxiliary tasks☆15Nov 26, 2021Updated 4 years ago
- ☆23Nov 30, 2020Updated 5 years ago
- Remote-sensing-based crop mapping implemented using UNet architecture☆13Mar 26, 2021Updated 5 years ago
- 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
- geospatial-study☆30May 23, 2024Updated 2 years ago
- Constructing concave hulls using point locations with balanced emptiness and complexity☆13Jan 24, 2020Updated 6 years ago
- Fit Bayesian models with a focus on spillover effects. Implements linear specifications (with or without shrinkage), allows for spatial l…☆13Sep 2, 2023Updated 3 years ago
- 介绍免费遥感数据源的下 载和使用方法:http://rs-freedatasource.readthedocs.io☆70Sep 15, 2018Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM, AdaBoost, Random Forests), deep learning (CNN, LSTM), ensembles…☆14Mar 29, 2022Updated 4 years ago
- This is a dehazed method for remote sensing image, which based on CycleGAN.☆13May 10, 2022Updated 4 years ago
- In this study, OCO-2, OCO-3, GOSAT, and GOSAT-2 data were utilized comprehensively, and a local random forest fusion model was proposed t…☆12Aug 4, 2023Updated 3 years ago
- The codes and data of paper "cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction"☆10Aug 28, 2020Updated 6 years ago
- A new WatNet version which further extends the data applicability from Sentinel-2 image to Landsat-5, 7, 8 images.☆15Oct 10, 2026Updated last week
- 2024 SWOT Early Career Researcher Workshop using Binder☆15Apr 12, 2026Updated 6 months ago
- 3D thermal physical model for the lunar surface☆12Jul 18, 2021Updated 5 years ago