Dr G. Amatulli presents ‘Big Data meets Geo-Computation’ @Harvard University, Cambridge – info.

Big Data meets Geo-Computation: Combining research reproducibility and processing efficiency in high-performance computing
By Giuseppe Amatulli, Ph.D.

Thursday, May 4th 12:00pm – 1:30pm. CGIS South Building, Room S354.

Abstract: In recent years there has been an explosion of geo-datasets derived from an increasing number of remote sensors, field instruments, sensor networks, and other GPS-equipped “smart” devices. “Big Data” processing requires flexible tools that combine efficient processing, either on your local pc or on remote servers (e.g, clusters – HPCs). However, leveraging these new data streams requires new tools and increasingly complex workflows often involving multiple software and/or programming languages. This also the case for GIS and Remote Sensing analysis where statistical/mathematical algorithms are implemented in complex geo-spatial workflows. I will show few examples of environmental applications where I combine different open-source geo-libraries for a massive computation at Yale Center for Research Computing.
Speaker Bio: Giuseppe is a Research Scientist in GeoComputation and Spatial Science at Yale’s Center for Research Computing. His research activities are mainly dedicated to spatial modeling with a special emphasis in species distribution models, areal distribution and potential shift under climate change conditions, wildland fire occurrence and pattern recognition, and wildfire risk assessment based on human and bio-physical parameters. Giuseppe holds an M.Sc. in Forestry from Bari University (Italy), a M.Sc. in Geo-Information Science from Wageningen University (The Netherlands), and a Ph.D. from the University of Basilicata (Italy).
Lunch will be served.

Spatial Ecology is not for profit organization (private company limited by guarantee) incorporated in England. Meaderville House, Wheal Buller, Redruth, Cornwall, TR16 6ST