Geocomputation with R: an open source book
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Updated
May 16, 2024 - R
Geocomputation with R: an open source book
Introduction to Geospatial Raster and Vector Data with R
Introduction to R for Geospatial Data
Introduction to Geospatial Concepts
caliver: CALIbration and VERification of gridded fire danger models
R package for working with Spectral data with spatio-temporal attributes
Enrich sf data with geographic features from OpenStreetMaps.
Correcting inferences in volunteer data using geospatial covariates
Creates mock properties and simulates LUP based on forestry regulations
Valizas river (Uruguay - Lat: -34.358407, Lon: -53.844792) bathymetry model from BioSonics DT-X echosounder measured depths.
Companion for the 2022 manuscript in Cancer Epidemiology, Biomarkers & Prevention entitled "A National Map of NCI-Designated Cancer Center Catchment Areas on the 50th Anniversary of the Cancer Centers Program"
Compute various geospatial neighborhood deprivation indices
☂️🛰️ This work is for a NASA-funded project using Earth observations to improve methods available for estimating the health damages of extreme weather events in Texas.
Geospatial data visualisations with python and R, inspired from the 30DayMapChallenge
This repository presents analyses conducted in R on The Troubles using the Global Terrorism Database
An end-to-end data analysis project on Scottish tourism data: Data Modelling, Hypothesis Testing, Geospatial Visualisation
ACLED Data & Geospatial Analysis using R
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