Kriging | Poisson Kriging | Variogram Analysis
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 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
Fast 2D interpolation engine: 20-40x faster than Delaunay, 99.5% success rate, handles 10M+ points. Proximity-first philosophy for practical performance.
Hyper-local AQI intelligence platform using IDW interpolation, SciPy cKDTree, GeoPandas, and Folium.
Geostatistical pipeline estimating marine vs. terrestrial depositional environments across the Cenozoic using reliability-weighted, declustered ordinary kriging over a PostGIS spatial database.
General-purpose pipeline for distributing NOAA LCDv2 point weather data onto road-segment networks via inverse-distance weighting, with a full Kansas worked example, sample data, and documentation.
End-to-end drone remote sensing platform: schema-agnostic data pipeline, GeoLibre-based GIS mapping with IDW heat-surface interpolation, OpenCV computer vision for land-cover classification, and AI-assisted automated reporting — built with Streamlit.
A python package for performing spatial interpolation of vector data
Weather field interpolation with TIN: grid sampling via Open-Meteo, Delaunay triangulation, barycentric interpolation, GeoTIFF output.
Real-time weather analytics pipeline with spatial interpolation (IDW/Kriging/RBF), FastAPI, and MongoDB — built during my internship at WeatherWalay.
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.
Web GIS de chuva no RJ: IDW com ArcPy (Spatial Analyst), API em FastAPI e mapa em Vue + ArcGIS Maps SDK for JavaScript, com parâmetros escolhidos por validação cruzada.
Reproducible dual-constraint IDW interpolation for sparse spatial data with localized high-value observations.
Interpolation for NN, IDW, TIN and LAPLACE.
SeaKrige: spatial interpolation using kriging with obstacle-avoiding path distancess
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