spatial-modelling

The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See

📦🐍 Python package to model and forecast the risk of deforestation

Spatial objects within the mlr3 ecosystem

🌍 📝 Modelling and forecasting deforestation in the tropics

Sub-package of spatstat containing functionality for parametric modelling and inference

PLURAL: Place-level urban-rural indices

Spatial individual-based model of malaria with a focus on drug resistance evolution.

Generating response curves from any fitted model

spatial modelling and optimisation framework

Bayesian Small Area Estimation of district-level population in Odisha using WorldPop and Sentinel-2 derived covariates (NTL, NDVI, EVI) with INLA-BYM2 spatial models in R.

Fish community modelling in the Bay of Biscay using clustering and spatial machine learning

Human-wildlife conflict (HWC) vulnerability mapping at provincial scale using spatial modelling — identifying high-risk conflict zones to support evidence-based conservation planning and mitigation strategies in Jambi, Indonesia.

Spatially explicit simulation of species distribution (theoretical ecology). WIP.

This is a model that I developed for the Master of Science course "Environmental modelling". I gave the course for 4 sessions at the Humboldt-Universität Berlin.

Monthly habitat suitability maps for high-abundance zooplankton patches ("tau-patches"). Point-and-click Shiny app or YAML-driven R package: Copernicus covariates, derived fronts and lags, four model types. Rebuilt from Ross et al. (2023).

This repository contains all the code used for the publication "Mitochondria morphology provides a mechanism for energy buffering at synapses ".

Monte Carlo simulation examining seasonal spatial dynamics of food sources and habitat variation

Quantity-constrained CA–Markov simulation of urban growth in Abuja, integrating historical LULC, transition probabilities and urban suitability to model expansion to 2035.

my blog about learning geospatial modelling.