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index.Rmd
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---
title: Coordinate Reference Systems
author: [Michele Tobias]
date: "`r Sys.Date()`"
github-repo: ucdavisdatalab/workshop-projections
url: "https://github.com/ucdavisdatalab/workshop-projections"
lang: en-us
site: "bookdown::bookdown_site"
knit: "bookdown::render_book"
output:
bookdown::gitbook:
fig_caption: false
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>
after: |
<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank">
<img alt="CC BY-SA 4.0" src="https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg" style="float: right; padding-right: 10px;" />
</a>
collapse: section
sharing: no
view: https://github.com/ucdavisdatalab/workshop-projections/blob/master/%s
edit: https://github.com/ucdavisdatalab/workshop-projections/edit/master/%s
---
# Overview {-}
## Workshop Description
This workshop is a lesson on coordinate reference systems, an integral part of working with spatial data.
## Learning Objectives
The expected outcome of this workshop is **not** that you will understand everything about projections by the end of the 2 hours. Learning and understanding projections for geospatial data is (perhaps unfortunately) a life-long endeavor. Will you have questions later? Of course! That is entirely expected.
By the end of this workshop, learners will
* Be able to define what a projection is
* Understand why you would choose one over another
* Be able to apply a projected coordinate system correctly to geospatial data in a coding environment
## Prerequisites
Participants should have
1. A basic understanding of how to program in the language used in the workshop (either R or Python).
2. A basic understanding of spatial data formats, raster and vector data in particular.
Participants needing to learn or brush up on their relevant skills can find materials on [DataLab's Workshop Index](https://ucdavisdatalab.github.io/workshop_index/). Suggested preparation includes:
1. [R Basics](https://ucdavisdatalab.github.io/workshop_r_basics/) or [Python Basics](https://ucdavisdatalab.github.io/workshop_python_basics), depending on the focus of the workshop being presented
2. [Introduction to GIS with QGIS](https://ucdavisdatalab.github.io/Intro-to-Desktop-GIS-with-QGIS/) - just the introductory material about spatial data formats, before the hands-on portion.