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---
title: Coordinate Reference Systems
author: Dr. Michele Tobias
date: "`r Sys.Date()`"
github-repo: ucdavisdatalab/workshop_coordinate_reference_systems
url: "https://ucdavisdatalab.github.io/workshop_coordinate_reference_systems/"
site: "bookdown::bookdown_site"
knit: "bookdown::render_book"
output:
bookdown::gitbook:
config:
toc:
before: |
<li><a href="https://datalab.ucdavis.edu/">
<img src="https://datalab.ucdavis.edu/wp-content/uploads/2019/07/datalab-logo-full-color-rgb-1.png" style="height: 100%; width: 100%; object-fit: contain" />
</a></li>
<li><a href="./" style="font-size: 18px">Coordinate Reference Systems</a></li>
collapse: section
sharing: no
view: https://github.com/ucdavisdatalab/workshop_coordinate_reference_systems/blob/master/%s
edit: https://github.com/ucdavisdatalab/workshop_coordinate_reference_systems/edit/master/%s
---
# Overview {-}
Description
----------------------------
In this workshop, participants will learn about projected coordinate reference systems (CRS, commonly called “projections”) and how to apply them in R to spatial data. We will discuss the components of a CRS, how to apply them, how to translate your data into a different CRS, and how to choose a CRS.
Learning Objectives
----------------------------
By the end of this workshop, participants will have a better understanding of what a projected coordinate system is, why you would choose one over another, and how to apply them correctly to geospatial data in R.
Prerequisites
----------------------------
Participants should have a basic understanding of R (for example, be able to create variables and load common data formats like a CSV) and a basic understanding of GIS data formats (e.g., raster and vector data). Participants should also install R and RStudio.