Events

Assessing water quality along rivers is vital for watershed management. The Bayesian Maximum Entropy method of modern geostatistics provides a powerful framework to model the space/time variability of water quality and perform a statistical assessment of all river miles. This talk presents joint work with Prahlad Jat that describes how river distances and flow can…

CyberGIS represents an interdisciplinary field combining advanced computing and cyberinfrastructure, geographic information science and systems (GIS), spatial analysis and modeling, and a number of geospatial domains (e.g., emergency management, smart cities, and the nexus of food, energy, and water systems) to enable broad scientific and technological advances. It has also emerged as new-generation GIS based on holistic…

As home to more than 50% of the human population, urban areas are of growing importance as sources of airborne and water-borne pollutants and sinks for increasing amounts of energy and natural resources. Remote sensing has considerable potential to improve our understanding of these areas, but is challenged by the high diversity of urban materials…

Deciding upon an appropriate spatial frame of reference is an important component of any observational analysis. Geographically fixed frameworks are not always well suited to meteorology, which can be described as the study of patterns within a moving fluid. Data visualization also needs to navigate around human cognitive limitations such as motion-induced failure to detect…

The importance of freshwater ecosystems in the terrestrial carbon balance from watersheds to the globe has been increasingly recognized over the last two decades. While global-scale annual carbon exports from rivers to the oceans are reasonably well constrained, large uncertainties remain at other spatial and temporal scales for lateral transport and other fluxes. Measurements are…