Events

A rapidly growing body of work suggests mountain streams emit surprisingly large amounts of carbon dioxide to the atmosphere. Studies in these environments are scarce and estimates of CO2 fluxes from aquatic environments are poorly constrained. High-altitude tropical grasslands, known as “páramos,” are characterized by high solar radiation, high precipitation, and low temperature. They also…

As data, including geospatial data, are increasingly mobilized in the service of governments and corporations, their unequal conditions of production, their asymmetrical methods of application, and their unequal effects on both individuals and groups have become increasingly difficult for data scientists--and others who rely on data in their work--to ignore. But it is precisely this…

Biomass feedstock utilization has the potential to reduce dependency on fossil fuels and improve energy security while decarbonizing our energy needs. Energy crops, short rotation woody crops, municipal solid waste, and agricultural and forest residues are considered promising sources of renewable energy. Computer modeling has proven to be a key tool towards minimizing logistics cost.…

A spatial perspective isn’t (just) about making compelling visualizations, but also investigating how complex human-environment interactions impact the theory, design, methods and infrastructure of research. Detangling how place impacts, interacts with and/or drives factors of health outcomes for different people and neighborhoods is essential to reducing health disparities. In this forum talk, Dr. Kolak highlights…

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…