Summary and Setup

Callout

Lesson Retired

This curriculum is retired. The lesson pages remain online but the source repository is archived and no new contributions can be made. Contact The Carpentries with your questions.

Looking for an alternative? The Geospatial Data Carpentry with R for Urbanists lesson in The Carpentries Incubator is actively maintained and has received good reviews from Instructors who have taught it. The Maintainers of that lesson are inviting feedback from Instructors who have tried teaching it. Why not give that curriculum a try, and let the developers know whether it worked for your community?

The goal of this lesson is to provide an introduction to core geospatial data concepts. It is intended for learners who have no prior experience working with geospatial data, and as a pre-requisite for the R for Raster and Vector Data lesson . This lesson can be taught in approximately 75 minutes and covers the following topics:

  • Introduction to raster and vector data format and attributes
  • Examples of data types commonly stored in raster vs vector format
  • Introduction to categorical vs continuous raster data and multi-layer rasters
  • Introduction to the file types and R packages used in the remainder of this workshop
  • Introduction to coordinate reference systems and the PROJ4 format
  • Overview of commonly used programs and applications for working with geospatial data

The Introduction to R for Geospatial Data lesson provides an introduction to the R programming language while the R for Raster and Vector Data lesson provides a more in-depth introduction to visualization (focusing on geospatial data), and working with data structures unique to geospatial data. The R for Raster and Vector Data lesson assumes that learners are already familiar with both geospatial data concepts and the core concepts of the R language.

Getting Started

This lesson has no pre-requisites. There is no required setup or data to download for this lesson.

Setup instructions for this workshop are available from the Data Carpentry Geospatial Workshop Overview site.