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

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 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.

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.

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

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

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.

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.