SDSC Webinar 2023-06-01

Thursday, June 1st, 2023 | 11:00-12:00 p.m. US Pacific Time | 1:00-2:00 p.m. US Central Time  | 2:00-3:00 p.m. US Eastern Time 

Watch the recording on Youtube: 

First half hour

Lake Tahoe West, a forest landscape resilience assessment for the 21st century

An application of the Ecosystem Management Decision Support (EMDS) system was developed and used to evaluate the performance of five major strategies for maintaining forest ecosystem resilience in the 21st century in a subregion of the Lake Tahoe basin. The analysis process used a combination of landscape simulation (LANDIS II), logic processing to interpret and synthesize vast amounts of simulation output, multicriteria decision analysis to assess the trajectories of performance of the five strategies over the century, and workflow automation to address an extremely large decision support problem. 

Keith M. Reynolds, Research Forester, USDA Forest Service, PNW Research Station

Second half hour

GIS-KG: building a large-scale hierarchical knowledge graph for geographic information science

An organized knowledge base can facilitate the exploration of existing knowledge and the detection of emerging topics in a domain. Knowledge about and around Geographic Information Science and its associated system technologies (GIS) is complex, extensive and emerging rapidly. Taking the challenge, we built a GIS knowledge graph (GIS-KG) by (1) merging existing GIS bodies of knowledge to create a hierarchical ontology and then (2) applying deep-learning methods to map GIS publications to the ontology. We conducted several experiments on information retrieval to evaluate the novelty and effectiveness of the GIS-KG. Results showed the robust support of GIS-KG for knowledge search of existing GIS topics and potential to explore emerging research themes. 

Jiaxin Du, Ph.D. candidate, Department of Landscape Architecture & Urban Planning , Texas A&M University

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