#maptimeDavis: Projected Coordinate Systems in R

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).

Software

All participants will need a computer on which they have administrative rights and are able to install software, and have the latest versions of Zoom, R and RStudio installed.

Instructor

Michele Tobias

Instructor Bio

Michele Tobias is a biogeomorphologist with a background in geospatial methods for ecology. At DataLab, she helps researchers understand and design geospatial methods and workflows, from data collection to spatial analysis to data visualization and cartography. Michele earned her PhD from UC Davis in Geography where she studied California’s sandy beach ecosystem with a mix of traditional phytosociological methods and innovative remote sensing tools. She has a bachelor’s degree in Geography (focused on biogeography) and German (focusing on linguistics) from UCLA and a master’s degree in Ecology (resource ecology & management) from University of Michigan. She worked at the UC Davis Information Center for the Environment as a postdoctoral scholar. Michele’s research interests include applying spatial analysis methods to new avenues of research.