An introduction on how to create a spatial prediction model in R

Workshop-2022 :: Created by Gabriel Carrasco

📆 July 25 and 26, 2022
⏰ 09:00 - 17:00
🏨 National Harbor 4/5
✍️ rstd.io/conf

Course Overview

Creating engaging and accessible data visualizations of high quality in an efficient and preferably reproducible way is an essential tool in a data scientist’s toolbox. After completing the course, participants will have a solid understanding of data visualization principles and the functionality of the ggplot2 graphics library and helpful extension libraries to create highly customized graphics without the need for post-processing.

We will discuss the main concepts of the grammar of graphics and use hands-on examples to explore ggplot2’s utility to create multi-layered, more complex graphs. The workshop covers a short overview of the basics of ggplot2 and quickly focuses on the most important steps and helpful tips to create visually appealing and complex graphics both in theory and practice. The power of ggplot2 will be illustrated with advanced real–life examples that help to understand data visualization principles and useful coding tricks.

The course covers complex code examples that are suited for more experienced ggplot2 users but designed to be informative for participants with minimal prior experience in ggplot2 and data visualization. As part of the training, attendees can download the course material from the course webpage for future reference.

Learning objectives

Understanding the general concepts of ggplot2.
Learning the many options of customizing a ggplot.
Gaining the major steps need to create engaging graphics.
Being able to generate complex plots without the need of post-processing.

Instructor

Headshot of Dr. Cédric Scherer

PhD. Gabriel Carrasco (he/him) Assistant Professor in Epidemiology at the School of Public Health and Associate Researcher at the Institute of Tropical Medicine “Alexander von Humboldt”, Universidad Peruana Cayetano Heredia (UPCH). Gabriel Carrasco is currently the director of the Health Innovation Lab and a board member of CLIMA, the Center for Latin-American Research on Climate Change and Health, both at UPCH. He earned his MS in Epidemiology at the School of Public Health, UPCH and is currently a PhD candidate in Public Health at the University of California, San Diego (UCSD).