Working with Geospatial Data

by Jem Stachelek

---

🗓️ September 24, 2021 ⏰ 13:00 - 17:00
💻 https://github.com/jsta/gleon-spatial_workshop_materials
📝 collab document: https://bit.ly/gleon-collab

---

Overview

Learning objectives

Workshop participants will learn the basics of working with vector and raster data in R.

Is this course for me?

You should be comfortable with routine R programming tasks (such as indexing vectors and lists).

Any lack of previous experience with geospatial analyses in R is not an issue. If you have experience, you'll see things in a new way. If you don't, we'll get you started on the right footing.

Prework

1. Use your own system to install a working environment:
   • Download data from: https://github.com/jsta/gleon-spatial_workshop_learners/archive/refs/tags/0.0.2.zip
   • Install R and Rstudio
   • Install R packages

install.packages(c("dplyr", "ggplot2", "raster", "rgdal", "rasterVis", "sf", "mapview"))
# If you encounter errors you may need to install external prerequsite programs:
# https://datacarpentry.org/geospatial-workshop/setup.html

Schedule

Time	Topic
13:00 - 13:30	Intoduction and Setup
13:30 - 14:00	Geospatial background
14:00 - 14:30	Open and plot vector files
14:30 - 14:40	Break
14:40 - 15:40	Explore vector attributes
15:40 - 16:20	Convert from .csv to vector
16:20 - 17:00	Intro to raster data

Instructors

• Jem Stachelek, [email protected]

---

This work is licensed under a Creative Commons Attribution 4.0 International License.