Events

In this 3 part workshop series, we will provide an introduction to spatial analyses in R. We discuss the benefits of the additional ‘location’ component that defines spatial data and how spatial dataframes organize this information. Using the sf (simple features) and terra packages, we'll navigate fundamental operations for reading, writing, manipulating, and visualizing spatial data. Some of the key topics we'll cover include: Understanding different types of spatial data (points, lines, polygons, raster) Using appropriate coordinate reference systems Implementing classification schemes (equal intervals, quantiles and natural breaks) for improved data visualization Conducting spatial measurement queries (distance from, intersections, buffers, and finding nearest features) Employing visualization techniques (overlay plotting, interactive maps) Performing combined vector-raster analysis (zonal statistics) This workshop aims to equip participants with the fundamentals needed to conduct spatial analyses for their various endeavors.

The event is primarily aimed at UC Berkeley students and scholars, and we warmly welcome students and scholars from other Bay Area universities such as UCSF, Stanford, and the University of San Francisco. The participants will include undergraduate, graduate, and doctoral students. There will be no charges for any attendees, and participants can RSVP in advance through the pre-registration form below. By attending this event, students will be able to network with HRs from over 30 companies with bases all over the world, most of which will sponsor CPT/OPT/H1B for international students. This event will provide a different perspective for students, focusing on an international view and providing students more options for their career paths