Geospatial Resources

This was part of the geospatial package.

byandell.github.io/Documentation

Books and Online Docs

• Data Carpentry Workshop
  • Introduction to R for Geospatial Data
  • Introduction to Geospatial Concepts
  • Introduction to Geospatial Raster and Vector Data with R
• Spatial Data Science book by Edzer Pebesma and Roger Bivand
• Geospatial Vector Data in R with SF (Coding Club)
• Online Comparisons of Some Spatial Packages
  • Comparison of terra and stars packages by Chris Brown
  • Marius Appel - Creating and Analyzing Multi-Variable Earth Observation Data Cubes in R (part 1) (2 hours)
  • Stack Overflow: stack geotiff with stars ‘along’ when ‘band’ dimension contains band + time information
• ArcGIS Online
  • Free online accounts, with new features added over time
• QGIS
  • RPubs: R to QGIS workflow
  • Spatial stratified sampling with RStudio and QGIS
  • RQGIS, Utilizing Rstudio as an alternative GIS
  • Processing lidar data using QGIS, LAStools and R
  • ESCAP: Land cover change maps with QGIS & RStudio
  • Columbia U: GIS, Cartographic and Spatial Analysis Tools in R / Rstudio

R Packages

Packages to Create Data Cube Layers

• gdalcubes
  • https://github.com/appelmar/gdalcubes
  • 1. Creating data cubes from local MODIS imagery by Marius Appel
• https://r-spatial.org/
  • sf (https://github.com/r-spatial/sf)
  • starshttps://github.com/r-spatial/stars
• https://rspatial.org/
  • terra (https://github.com/rspatial/terra)
  • sf (https://github.com/rspatial/raster)
• tidyterra
  • https://dieghernan.github.io/tidyterra/
  • Extension of the tidyverse for SpatRaster and SpatVector objects of the terra package

Packages to Access Data

• rstac: Access, search and download from SpatioTemporal Asset Catalog (STAC)
• osmdata: Download and import of ‘OpenStreetMap’ (‘OSM’) data
  • https://www.openstreetmap.org/
  • Open Street Map Data
  • Retrieving Open Street Map data using the osmdata package
  • Database of Open Street Map Names
  • https://osmnames.org/
• geos: R API to the Open Source Geometry Engine (‘GEOS’)
• landsat: Processing of Landsat and other multispectral satellite imagery

Previous package rgdal is now obsolete; see Progress in modernizing and replacing infrastructure packages in R-spatial workflows (r-spatial) GDAL is a complicated package that is challenging to use and install. Unsure about status of raster package.

Data Repositories

• https://data-library.esiil.org
  • American Indian and Alaska Native Areas
• See list on menu of

https://cu-esiil.github.io/hackathon2023_datacube/code_for_building_cube/Pull_flood_data/

These have been compiled in datasets.csv.

Data are stored in different coordinate systems, which makes it important to transform between them. See for instance GPS Coordinates to relate, for instance, latitude and longitude to UTM (decimal) coordinates.

Geospatial Workshops

ESIIL Hackathon, CU Boulder, November 15-17, 2023

ESIIL_Art_Data_Cube.Rmd: Yandell edit of Ty Tuff’s The Art of Making a Datacube

Geospatial Data Carpentry Workshop, UW-Madison, June 5-8, 2023 https://go.wisc.edu/i4gsfr

Carpentries Etherpad

Geospatial.Rmd: Rmarkdown from Workshop

Geospatial Download for Data Carpentry Workshop

The data have been organized in The Carpentries nicely in FigShare as workshop data from carpentries site. See also the https://datacarpentry.org/geospatial-workshop/ page section on Data and more information at https://datacarpentry.org/geospatial-workshop/data.html. The data seem to come from NEON Raster Intro page NEON Raster 00: Intro to Raster Data in R, via Download Dataset. The data are from two field sites:

• Harvard Forest (HARV)
• San Joaquin Experimental Range (SJER)

The key raster data are the following “geotif” files:

• HARV_dsmCrop.tif
• HARV_dsmCrop.tif
• HARV_DSMhill.tif

It should be possible using some of the commands in the The art of making a data cube to elegantly download needed data on the fly.