The project aims to monitor and predict the spread of the invasive Spotted Lanternfly in the United States using dataset lydemapr and process-based modeling. The impact of SLF on plant species and outdoor activities is significant, making it crucial to implement proactive measures. Machine learning

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This content delves into the intricacies of temporal and spatial information models, covering concepts such as existence, presence, and spatiotemporal relationships. It explores how entities are identified, events are witnessed, and durations are defined within these models. The interplay between ti

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STARE-PODS is a proposal by a team of experts aiming to provide a unifying indexing scheme for combining diverse Earth Science data. Leveraging the SpatioTemporal Adaptive Resolution Encoding (STARE) and Parallel Optimized Data Store (PODS), the system enables efficient processing and analysis of ge

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Explore the captivating world of bird migration, discovering the reasons behind this natural marvel, the challenges faced by birds on their long journeys, and how GPS telemetry aids in observing their migration patterns. Delve into European-wide spatiotemporal bird distribution data and gain a deepe

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Explore the definitions, relationships, and properties of spacetime volume, temporal information, and their components like time spans and entities. Learn about how events are witnessed and defined within specific spatiotemporal contexts.

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