Kriging | Poisson Kriging | Variogram Analysis

Natural neighbour interpolation methods for scattered data interpolation and derivative generation of planar point sets.

GPU를 이용하여 공간 보간(Spatial Interpolation)을 수행하고, 그 결과를 표시하는 WPF 기반 샘플 프로그램입니다.

A professional list of Papers on AI for Spatial Interpolation in AI conferences and journals.

Code for the SIGMOD 2023 paper "SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation".

An IoT-based Air Quality Monitoring System using ESP32, LoRa, and TinyML for real-time AQI forecasting and spatial interpolation mapping (IDW). Sensors: PMS7003, AHT40, C8-CO2, SGP-eCO2

Code for the DASFAA 2023 paper "Rainfall Spatial Interpolation with Graph Neural Networks".

Numerical interpolation and approximation of water pollution data to construct continuous spatial pollution maps.

A responsive GUI that performs six different methods of spatial interpolation

Value propagation-based spatial/spatio-temporal interpolation

An empirical study and comparison of Deterministic, Statistical, and ML Algorithms for the Spatial Modeling of significant wave height data from NOAA's National Data Buoy Center and other Environment-related datasets

Reproducible, uncertainty-aware geospatial suitability pipeline for agriculture + optional GeoAI engine (terraflow geoai {fields,landcover,canopy}) — Ordinary Kriging + LOOCV variogram, Monte-Carlo CIs, Sobol/Morris sensitivity, spatial block CV, deterministic run fingerprints

Precipitation-elevation Regression on Independent Slope Models

Collection of useful functions and wrappers designed to download and pre-process datasets for ecohydrological analysis or simulation frameworks

Gaussian Process Regression (GPR) with non-Gaussian likelihoods using robust infinite-dimension Monte Carlo Markov Chain (MCMC) sampling for spatial inference problems

Fast 2D interpolation engine: 20-40x faster than Delaunay, 99.5% success rate, handles 10M+ points. Proximity-first philosophy for practical performance.

Utilities (plotting, computing, merging products) related EMODnet-Chemistry.

Emergency Flood Forecasting (2011) 💧 How Do You Predict Floods When All Models Fail? : Grassroots forecasting system that helped 13M people prepare during Thailand's worst disaster - using only existing water data and adaptive research-based models, when conventional prediction tools broke down.

A python package for performing spatial interpolation of vector data

Hyper-local AQI intelligence platform using IDW interpolation, SciPy cKDTree, GeoPandas, and Folium.