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…
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…
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…
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…
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…
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…
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…
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…
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…
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…