Precipitation-elevation Regression on Independent Slope Models

A python package for performing spatial interpolation of vector data

Value propagation-based spatial/spatio-temporal interpolation

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

Implementing a Python-based project using computer vision to analyse a wooden beer bottle cap display (shaped like Germany), aiming to correlate bottle caps with their geographic references by minimizing spatial distances between map holes and physical locations.

A responsive GUI that performs six different methods of spatial interpolation

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

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

Interpolation for NN, IDW, TIN and LAPLACE.

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

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

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

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

Kriging | Poisson Kriging | Variogram Analysis