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garonen's Projects

blockcv icon blockcv

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.

coral_fish icon coral_fish

This project models the functional consequences of range-shifting tropical fish

ecospat icon ecospat

Miscellaneous methods and utilities for spatial ecology analysis, written by current and former members and collaborators of the ecospat group of Prof. Antoine Guisan, Department of Ecology and Evolution (DEE) & Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Switzerland.

fssgam icon fssgam

Code for full subsets model fitting using GA(M)M

getspatialdata icon getspatialdata

An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.

ggplotmay2015 icon ggplotmay2015

Tutorial by Joe Fontaine covering ggplot - presented at MURUG 28 May 2015

grass_opengeohub2021 icon grass_opengeohub2021

This repo holds the slides, data and code for the presentation "Analyzing space-time satellite data for disease ecology applications with GRASS GIS and R" at the OpenGeoHub Summer School 2021

leafmap icon leafmap

A Python package for geospatial analysis and interactive mapping with minimal coding in a Jupyter environment

mvpartwrap icon mvpartwrap

MVPARTwrap: Additional features for package mvpart.

ogh2021 icon ogh2021

Code and slides for OpeGeoHub 2021 summer school.

opengeohub_2021 icon opengeohub_2021

Material for the tutorial on "Mapping the Area of Applicability of spatial prediction models" at the OpenGeoHub Summer School 2021

rs-accuracy-variance icon rs-accuracy-variance

testing framework for cross validation inspired accuracy metrics and map products for remote sensing applications

spatialhealthogh icon spatialhealthogh

Materials for Analysing Spatiotemporal Health Data session of the Open Geo Hub Summer School 2021

squid_data icon squid_data

Sample Data from Peter Coulson and Jake Chandler

virtual_species_sdm icon virtual_species_sdm

How to create Virtual Species (code related to: Rocchini et al. (2022). A quixotic view of spatial bias in modelling the distribution of species and their diversity.

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