Spatial data is special data
Today we’ll start getting into the nitty-gritty of geographic data and how the various elements describing spatial position are managed within R
.
Objectives
By the end of today, you should be able to:
-
Describe several ways to load spatial data into
R
-
Define a coordinate reference system and describe why it is important
-
Identify the different ways projections are expressed in
R
andgdal
-
Describe the other key elements of spatial data
Readings
-
Coordinate Reference Systems Section 2.4 in Lovelace et al., Geocomputation with R (Lovelace et al. 2019)
-
Chapter 1: Introduction in Essentials of Geographic Information Systems by Campbell and Shin (Campbell and Shin 2011)
-
Scale and Projections - a portion of Mapping, Society, and Technology an Laura Matson and Melinda Kernik.
Slides
View all slides in new window Download PDF of all slides
Campbell, J., and M. Shin. 2011. Essentials of geographic information systems. Saylor Foundation.
Lovelace, R., J. Nowosad, and J. Muenchow. 2019. Geocomputation with R. CRC Press.