Kriging | Poisson Kriging | Variogram Analysis

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

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

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

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

Precipitation-elevation Regression on Independent Slope Models

Value propagation-based spatial/spatio-temporal interpolation

A responsive GUI that performs six different methods of spatial 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

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

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

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

A python package for performing spatial interpolation of vector data

Interpolation for NN, IDW, TIN and LAPLACE.

Source Codes for super resolution of the lunar elemental abundance map using a semi-supervised deep spatial interpolation model. This hybrid approach combined ResNet50 for spatial feature extraction with Graph Neural Network (GATv2Conv) layers and Convolutional Neural Networks (CNNs), followed by fusion layers.

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.