As spatial data becomes more plentiful and available, there are new challenges for accessing it in scholarship. From point clouds with millions of entries to complex elevation maps, it is becoming increasingly difficult to perform spatial analysis on laptops and personal computers. UCLA’s high performance computing cluster, Hoffman2, enables processing and analyzing complex geodata remotely, securely, and quickly.

Are you interested in using UCLA’s Hoffman2 shared computing cluster to perform GIS research? Are you working with a large or complex data set that is too much for your local machine to handle? If so, this workshop is for you!

In this workshop participants will learn how to use free, open-source spatial tools on the Hoffman2 cluster. Over the course of two hours, we will cover the following topics:
Creating and using user accounts on Hoffman2
Using typical open-source tools like GDAL on Hoffman2
Using Hoffman2 to perform tasks like editing large digital elevation models, converting spatial data types, and creating paths through elevation data, writing and configuring scripts to do spatial analysis, and working with large and complex data sets using tools like jupyter notebooks on Hoffman2 to visualize the results.

Any questions about this workshop can be emailed to Ryan Horne (rmhorne@ucla.edu).

Register via Zoom