Scientific Programming: Introduction to spatial data with R

Andrea Sánchez-Tapia; Sara Mortara

Slides

Packages needed

Before the class, install packages sf, tmap, and their dependencies.

install.packages("sf")
install.packages("ggplot2")
install.packages("tmap")

library("sf")

External libraries

Package sf should install and link to libraries GEOS, PROJ, and GDAL, so when you load it, a message similar to this will appear:

Linking to GEOS 3.8.1, GDAL 3.1.2, PROJ 7.1.0

If you have any trouble installing and loading it, please follow the instructions in the package documentation: https://r-spatial.github.io/sf/

To follow the class, a working RStudio Cloud session is here. Create an account and copy the link to your account. https://rstudio.cloud

Tutorial here

References

Moraga, Paula. (2019). Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny. Chapman & Hall/CRC Biostatistics Series https://www.paulamoraga.com/book-geospatial/
Spatial Data Science with R https://rspatial.org/
Leaflet tutorial https://rstudio.github.io/leaflet/
Laurie Baker’s Leaflet tutorial https://laurielbaker.github.io/DSCA_leaflet_mapping_in_r/slides/leaflet_slides2.html#66
Geocomputation with R https://geocompr.robinlovelace.net/
RSpatial data: https://rspatialdata.github.io/
Fortin MJ, Dale MRT 2005. Spatial Analysis: A guide for Ecologists, Third Edit. ed. New York.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

Citation

For attribution, please cite this work as

Sánchez-Tapia & Mortara (2022, July 26). Scientific Programming: Introduction to spatial data with R. Retrieved from https://scientific-computing.netlify.app/10_spatial_tools_with_r.html

BibTeX citation

@misc{sánchez-tapia2022introduction,
  author = {Sánchez-Tapia, Andrea and Mortara, Sara},
  title = {Scientific Programming: Introduction to spatial data with R},
  url = {https://scientific-computing.netlify.app/10_spatial_tools_with_r.html},
  year = {2022}
}