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Thursday, October 4 • 5:10pm - 6:00pm
Why You Need to Code for Geospatial Data Science LIMITED

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Limited Capacity seats available

"Big" geospatial datasets are becoming publicly available at a fast pace, and they are opening new opportunities to incorporate large-scale spatial data in agricultural research. To make the best use of these and realize the full potential, however, researchers need to be proficient in computer programming -- to deal with issues in data preparation and apply a variety of analytical techniques at scale. This skill set is not commonly found in the community of agricultural scientists, but it's not too difficult to acquire. This session will provide an overview on the current state of geospatial data analysis in agriculture along with selected use-cases, discuss opportunities and challenges for fully incorporating computer programming in the geospatial research workflow, and present the geospatial COP’s efforts to build the capacity for geospatial data science in CGIAR.  

avatar for Robert Hijmans

Robert Hijmans

Professor, UC Davis
avatar for Jawoo Koo

Jawoo Koo

Senior Research Fellow, IFPRI

Kauê de Sousa

Research Fellow, Bioversity-CIAT Alliance
Kauê is a PhD Candidate at the Inland Norway University of Applied Sciences and a Research Fellow at Bioversity-CIAT. His research interests are in climate adaptation and agrobiodiversity.

Thursday October 4, 2018 5:10pm - 6:00pm EAT