Geospatial learning resources for biomedical applications

Resources related to geospatial analysis in (mostly) R. Most are applicable to any context, but some are geared more for biomedical applications.

R package resources
Spatial data visualization
Spatial analysis
Geocoding (offline)

R package resources

CRAN Task View: Analysis of Spatial Data • Roger Bivand & Jakub Nowosad
r-spatial.org • Edzer Pebesma, Marius Appel & Daniel Nüst: Website and blog for those interested in using R to analyse spatial or spatio-temporal data
rspatial.org - Spatial Data Science with R — R Spatial: Materials that teach spatial data analysis and modeling with R using the raster and terra packages

Spatial data visualization

Spatial analysis

Workshop (R/Medicine 2022): Analyzing Geospatial Data in R • Sherrie Xie
- Video
- Slides (pptx)
- Repo
Book: Geocomputation with R • Robin Lovelace, Jakub Nowosad & Jannes Muenchow (H/T Kjetil Haukås)
Talk: Geocomputation with R’s guide to reproducible spatial data analysis • Jakub Nowosad
- Slides
Talk (RStudio Conf 2018): Tidy spatial data analysis • Edzer Pebezma
- Video
- Slides
Webinar: Introduction to Geospatial Analysis in R - ORNL DAAC • Alison Boyer & Jessica Welch
- Video
- Slides
- Repo
Workshop (RStudio Conf 2020): Modern Geospatial Data Analysis • Zev Ross
- Repo
Book: Spatial data analysis • R Spatial
- Spatial autocorrelation
- Spatial interpolation techniques
- Spatial distribution models
- Spatial regression models
Book: Geospatial Health Data • Paula Moraga
- Spatial modeling of areal data
- Spatio-temporal modeling of areal data
- Geostatistical data
Book: Intro to GIS and Spatial Analysis • Manuel Gimond
- Point pattern analysis
- Hypothesis testing
Course: Applied Spatial Statistics in R • Yuri Zhukov
Course: GIS in R • Earth Lab
- Shapefile Structure
Tutorials: The Center for Spatial Data Science
- Univariate and bivariate analysis
- Multivariate exploration
- Rate mapping
- Applications of spatial weights
- Dimension reduction methods
- Classic clustering methods
Workshop notes: R Spatial Workshop - Center for Spatial Data Science • Angela Li
- Book of notes
Workshop: Introduction to Geographic Data Science • Francisco Rowe
- Website
- Repo
Book: Spatial Modelling for Data Scientists • Francisco Rowe & Dani Arribas-Bel
Book: [An Introduction to Spatial Data Analysis and Statistics: A Course in R • Antonio Paez (H/T Antonio Paez)
Book: Public Policy Analytics: Code & Context for Data Science in Government • Ken Steif (H/T Matt Harris)
- Book site
- Repo w/ data
Book: 16 Geospatial | Big Book of R • Oscar Baruffa (H/T Oscar Baruffa)
Book: Bayesian inference with INLA • Virgilio Gómez-Rubio (H/T Jose Luis Cañadas)
Course (OpenGeoHub Foundation): Analysing spatial data (ECS530 01) • Roger Bivand (H/T @datamaps)
- Video playlist
- Site

Geocoding (offline)

Residential mobility¹
R programming language
Geocoding Made Easy • tidygeocoder
- Geocoding Services - Data Privacy • tidygeocoder
ArcGIS software
- What is geocoding?—ArcMap | Documentation
- Geocode Addresses (Geocoding)—ArcGIS Pro | Documentation
- R + ArcGIS

J.R. Meeker, H. Burris, M.R. Boland, An algorithm to identify residential mobility from electronic health-record data, International Journal of Epidemiology. 50 (2021) 2048–2057. https://doi.org/10.1093/ije/dyab064. ↩
C. Brokamp, C. Wolfe, T. Lingren, J. Harley, P. Ryan, Decentralized and reproducible geocoding and characterization of community and environmental exposures for multisite studies, J Am Med Inform Assoc. 25 (2018) 309–314. https://doi.org/10.1093/jamia/ocx128. ↩
C. Brokamp, DeGAUSS: Decentralized Geomarker Assessment for Multi-Site Studies, JOSS. 3 (2018) 812. https://doi.org/10.21105/joss.00812. ↩

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