Spatial Data Science: Mapping for Impact

Berkeley Distinguished Lectures in Data Science


February 27, 2018
4:10pm to 5:00pm
190 Doe Library
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Spatial data collection, analysis and visualization has changed dramatically in the last decade. We now have, for example, high spatial and temporal resolution imagery, integrated smart phones as data collectors, and cloud-based analytical platforms to work with. Collectively, these developments make up our 21st century mapping toolkit that is in increasing demand to address contemporary environmental challenges. In this talk, I will review recent technical advancements in data, analysis, and communication, and highlight key cases from my work and elsewhere that illustrate this exciting and dynamic geospatial landscape.

The Berkeley Distinguished Lectures in Data Science, co-hosted by the Berkeley Institute for Data Science (BIDS) and the Berkeley Division of Data Sciences, feature faculty doing visionary research that illustrates the character of the ongoing data, computational, inferential revolution. All campus community members are welcome and encouraged to attend.  Arrive at 3:30pm for tea, coffee and discussion prior to the formal presentation.


Maggi Kelly

Professor and Cooperative Extension Specialist, Environmental Science, Policy,and Management

Our lab's motto is "mapping for a changing California," and we use a range of techniques—remote sensing, object-based image analysis, geospatial modeling, lidar analysis, participatory webGIS, and field methodsto answer applied questions about how and why California landscapes are changing and what that change means for those who live on and manage our lands. I use these spatial tools to examine California landscapes: I work on wetlands and explore how remote sensing can be used to monitor carbon stores; I work on forests and use lidar data to map horizontal and vertical structure; and I work on urban landscapes, where the built environment can influence our access to food and impact our health. I am also keenly interested in spatial data science, which revolves around the integration of data (from aircraft, satellites, mobile phones, historic collections, and the web); application of methodsunderstanding spatial density, pattern and distribution, coincidence or interactions of factors across space, probability or risk of an event occurring in space, and measures of interconnectedness; and of collaborations of peoplescientists, policy-makers, and the public. The geo-informatics field is evolving quickly, and I actively work to build a community interested in applied geospatial research and outreach locally at UC Berkeley and across the state. I am the faculty director of the UC Berkeley Geospatial Innovation Facility, which is dedicated to creating cutting-edge mapping technology, training in geospatial information systems and remote sensing, and applied geospatial research.