Events

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…

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…