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YCRC: Introduction to GRASS GIS

This workshop introduces students to the powerful Geographic Resources Analysis Support System (GRASS) GIS software to manipulate raster and vector data. We will see the graphical user interface and use simple Bash scripts to automate many common geo-data processing tasks such as cropping and re-projecting images. You will learn how to script processes for complex geo-functions.

This workshop assumes basic knowledge of the Bash command line and basic knowledge of Geographic Information Systems concepts (projection, buffer, overlay, etc…). Participants will need a pre-installed Linux Virtual Machine in their own laptops to follow the workshop.

Please Register Here

This workshop is part of the "Hands-on Geo-Computation Bootcamp" series hosted by the Yale Center for Research Computing. See the complete series here: http://research.computing.yale.edu/hands-geo-computation-bootcamps
The courses, led by Giuseppe Amatulli, Ph.D. Geospatial researcher in the F&ES, YCRC and CSSSI, are aimed at researchers and professionals with a keen interest in spatio-temporal data analysis and modelling.All workshops assume a prior knowledge of Bash and basic Linux commands (attend our Practical Introduction to Linux bootcamp if needed). Attendees should have solid basic computer skills and a strong interest on geographical data analyses.   Previous experience and understanding in Geographic Information Systems and light scripting is helpful although not necessary. Laptops, with a minimum of 4GB RAM and 30GB free disk space, will be required.

The training is free to the Yale Research Community however space is limited and registration for each workshop is required.

If you have any questions, concerns or comments please contact the YCRC at research.computing@yale.edu
Thursday, March 30, 2017
5:00pm - 7:00pm
Science Hill
  Center for Science and Social Science Information (CSSSI)     Data     Forestry and Environmental Studies     GIS & Geospatial Workshops     Yale Center for Research Computing     Digital Scholarship  

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Joshua Dull