Accessibility Mapping in R

Good access to resources and opportunities is essential for sustainable development. Improving access, especially in rural areas, requires useful measures of current access to the locations where these resources and opportunities are found.

During the 2020 CGIAR-CSI Community Meeting, Andy Nelson and Rolf de By from ITC/University of Twente, shared some theory on the mapping travel time on a raster surface in R and demonstrated how to generate the input layers and compute travel time to target locations using a precooked example and dataset for Bhutan.

To follow the webinar at your own pace,

  1. Install an up-to-date version of R and RStudio
  2. Install these packages and their dependencies – raster, rgdal, gdistance – install.packages(“raster”) etc.
  3. Download and unzip (or clone) the course material (data, R script and PDF) from https://github.com/gip-itc-nl/accessibility_course_bhutan
  4. Download one large SRTM dataset and copy into the /inputs/ directory from point (3) http://ftp.itc.nl/incoming/accessibility/bhutan_dem_srtm.tif

The method is the same as published in the recent article on global travel time mapping and dataset, but a smaller geographic extent was used to make it practical for this session.

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