Join us to learn how to make use of live coding to gain an introductory level knowledge of working with geospatial data using the R programming language. Participants will also gain an introduction to relevant resources for continuing their learning of the R programming language for geospatial data analysis and applications. No prior knowledge or experience of geospatial data, R, or RStudio is required for this workshop.

R and RStudio will be used in this workshop. Setup instructions are available for those who do not have the software downloaded.

This workshop is part of the Using Programming and Code for Research series for anyone who wants to get started or learn more about use programming languages like Python, R, or other applications. These tools can help you to collect, manipulate, clean, analyze, and visualize research data or automate many repetitive tasks. If you need personalized assistance with a data analysis, programming, or coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services for programming and coding and for working with data.

This workshop is part of the Tools for Data Analysis series for those looking to deepen their understanding of how to interact with data and more effectively and creatively communicate their research findings to wide audience. If you need personalized assistance with a data analysis, programming, or a coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services to support programming and coding and for working with data.

This workshop is part of the Mapping and Geospatial Data series which offers introductory and in-depth sessions working with location data and geographic information systems (GIS) software. If you're working on a mapping project and need personalized assistance, consider booking a consultation with a GIS specialist.

This workshop is part of the Open Source Solutions series for GW community members looking to use open source tools like Python, R, and QGIS for data collection, analysis, and visualization. To learn more about open source tools, open science, or open scholarship at GW, visit the Open Source Program Office’s website.

All sessions are free to GW students, faculty, staff, and alumni. GW has an institutional commitment to ensuring that all of our programs and events are accessible for all individuals. If you require any accommodations to participate in this event, please contact libraryevents@gwu.edu at least 72 business hours (3 business days) prior to the event.