This workshop will focus on DEM-based approaches in hydrological applications using GRASS. DEMs contains a simple information such as an array of elevation data that may represent an extraordinary source of knowledge in several fields: hydrology, ecology, agronomy and engineering. GRASS will be used the DEMs to predict surface water routing, to estimate expected solar radiation, to describe the structure of a river network, to describe basin morphology/connectivity, and flood prone areas.
This workshop assumes prior knowledge of Bash and the Linux command line and basic knowledge of Geographic Information Systems concepts (basin, flowaccomulation, stream order, etc ). Participants will need a pre-installed Linux Virtual Machine on their own laptops to follow the workshop
Please Register Here
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 email@example.com.
Thursday, April 20, 2017
Center for Science and Social Science Information (CSSSI), Data, Digital Scholarship, Forestry and Environmental Studies, GIS & Geospatial Workshops, Yale Center for Research Computing