Come learn about some of the most widely adopted machine learning methods used for clustering of spatial data. This forum will illustrate how the algorithms work, how to interpret the results, and how and when to apply them. We’ll go beyond the basics of several key spatial data science techniques, including density-based clustering and multivariate…
Exploring Race and Place through Data: The W.E.B. Du Bois Visualization Exhibit In addition to his substantial contributions to sociology and civil rights activism, W.E.B. Du Bois was an early champion of using data to investigate and highlight the history and reality of Black Americans. In particular, Du Bois’s visualization contributions to the 1900 Exposition…
The Center for Geospatial Analytics is holding a virtual poster competition highlighting our graduating MGIST students' capstone projects. Members of the Center community can view and vote on their favorite poster anytime during the two-day event.
Dissertation Title: Mapping forest host species distributions and understanding their effects on forecasts of disease spread Co-Advisors: Dr. Ross Meentemeyer, Director of the Center for Geospatial Analytics and Goodnight Distinguished Professor of Geospatial Analytics; Dr. Josh Gray, Faculty Fellow and Assistant Professor in the Department of Forestry and Environmental Resources Abstract: Emerging infectious diseases of…
Presented by Austin Stone, Customer Success Manager for Education & Research at Planet Labs The space industry is undergoing a rapid transformation, one that allows us to see our world like never before. Planet Labs is a revolutionary satellite image provider, capturing global images at near-daily intervals. That’s right, global. Not only are these images…
Cucurbit downy mildew exhibits significant long distance dispersal within the continental United States. The disease is characterized by annual extinction and recolonization cycles that make it an excellent model system to understand and quantify epidemic expansion in both time and space. Using disease records collected as part of a cucurbit downy mildew monitoring system, the…
Insured flood loss in Texas has risen rapidly since 1978, totaling nearly $16.4 billion USD by the end of 2021. These losses have been predominantly concentrated in coastal and urban areas where changes in extreme precipitation coupled with rapid population growth at the coastal margin and in upland areas have dramatically altered the hydrologic response…
Managing natural resources is fraught with uncertainty around how complex ecosystems will respond to management actions and a changing climate. A range of scientific tools can help grapple with different aspects of this challenge, but they are often used independently. This forum presentation describes a series of projects that have leveraged the complementary strengths of…
The increasing volume and diversity of sources of geospatial data have created both opportunities and challenges for environmental management studies. Combining and extracting the information contained in these rich multisource data enable novel views and the development of a comprehensive and detailed knowledge basis of the environmental dynamics of both rapidly changing events (e.g. floods)…
The discipline of land change science has been evolving rapidly in the past decades. Remote sensing has played a major role in one of the most critical components of land change science, which includes observation, monitoring, and characterization of land change. In this forum presentation, Dr. Zhu will first introduce a new remote sensing perspective…