spatial-modeling

Hybrid Aggregated Agent‐based Microsimulation of Segregation

A modular Python framework for spatially explicit dynamic modeling, Cellular Automata, and System Dynamics.

R package for ancestry probability surfaces and spatial genetic decision support

LH공모전 : [오산시]어린이 교통사고 위험지역 도출 최우수(1위) Repo

Ensemble Modeling for Mapping burned areas in the Amazon Rainforest from 2001 to 2020

Machine learning models applied to ecological and environmental data (forestry applications): Random Forest application for modeling FF C stocks.

WebLUR: a web-based Land Use Regression spatial modeling platform for environmental exposure assessment.

Multi source information fusion method based on Bayesian - Markov theory and its application in geological stochastic inversion

A GNN over four Arctic regions, connected by real geography, extending Causal-Feature-Selection-Atric-Sea-Ice with real ERA5 data. Two training bugs were fixed and over smoothing was ruled out. Against naive it looked strong; against trend plus persistence it does not win, since the apparent skill was mostly a shared trend, not real spatial signal.

Spatial Digital Twin modeling subnational rice yields in Bangladesh. Integrates NASA satellite weather telemetry and BBS agricultural census records with an Ensemble ML pipeline and Kalman-style error calibration. Projecting yields dynamically up to 2029.

Educational project for geometric and spatial modeling using Python. Includes Bézier curves, fractals, and surface generation, implemented in Jupyter Notebooks. Designed around lab assignments with mathematical and visual modeling of spatial structures.

Geo-temporal modeling of U.S. tweet intensity using 14M+ geotagged records and Random Forest regression.

A larger GNN test than the Arctic project, 30 world cities connected by real distance. The graph actively hurt the model at first, beaten by both persistence and the same model with no graph at all. A skip connection fixing signal dilution then beat every baseline, including persistence, confirming the graph was helpful once fixed properly.

Educational and analytical project demonstrating Bézier curve construction, shape reconstruction (e.g. shark silhouette), and integration with EPANET hydraulic models. Includes interactive Jupyter Notebooks, .inp files for simulations, and Python scripts for parametric surface modeling.