Enabling online geospatial isotopic model development and analysis
Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery
Developing an integrated end-to-end TeraGrid climate modeling environment
Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery
BirdVis: Visualizing and Understanding Bird Populations
IEEE Transactions on Visualization and Computer Graphics
Building an environment to facilitate discoveries for plant sciences
Proceedings of the 2011 ACM workshop on Gateway computing environments
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Collecting species presence data and then building models to predict species distribution has been long practiced in the field of ecology for the purpose of improving our understanding of species relationships with each other and with the environment. Due to limitations of computing power as well as limited means of using modeling software on HPC facilities, past species distribution studies have been unable to fully explore diverse data sets. We build a system that can, for the first time to our knowledge, leverage HPC to support effective exploration of species similarities in distribution as well as their dependencies on common environmental conditions. Our system can also compute and reveal uncertainties in the modeling results enabling domain experts to make informed judgments about the data. Our work was motivated by and centered around data collection efforts within the Great Smoky Mountains National Park that date back to the 1940s. Our findings present new research opportunities in ecology and produce actionable field-work items for biodiversity management personnel to include in their planning of daily management activities.