envirecon.org SKOPE | Synthesized Knowledge of Past Environments

envirecon.org
Title: SKOPE | Synthesized Knowledge of Past Environments
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Description: SKOPE | Synthesized Knowledge of Past Environments SKOPE Synthesized Knowledge of Past Environments Menu Skip to content What is SKOPE? Stories Environmental Data FedData PaleoCAR Risk Landscapes SKOP
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SKOPE | Synthesized Knowledge of Past Environments SKOPE Synthesized Knowledge of Past Environments Menu Skip to content What is SKOPE? Stories Environmental Data FedData PaleoCAR Risk Landscapes SKOPE Prototype Web Resources Provenance YesWorkflow Data Integration SKOPE Prototype Run SKOPE Prototype SKOPE Prototype User’s Guide Presentations SKOPE Team Search for: What is SKOPE? The National Science Foundation has funded our research team to design and prototype SKOPE (Synthesized Knowledge of Past Environments), an online research tool that will provide state-of-the-art information about the environment experienced by humans at a given a place and time, past or present. In response to a specific query, SKOPE will extract the latest data from diverse online databases. Using explicit and repeatable procedures, it will process the data to yield a cutting-edge synthesis of environmental information specifically tailored to the user’s request. Initially the tool will be developed for the Southwest US over the last 2000 years, but it will be designed to be readily extended to other places and times. SKOPE is conceived as a tool that can serve diverse professional and academic communities. For example, planners could use its long-term environmental reconstructions to investigate vulnerabilities in existing infrastructure that are outside the experience provided by the historic record. It could be used by archaeologists examining the social consequences of long-term climate changes, or ecologists investigating long-term changes in biodiversity or ancient species distributions. More broadly, it empowers investigations that rely on long-term environmental data. This material is based upon work supported by the National Science Foundation under Grant Nos. SMA 1439591, SMA 1439603, and SMA 1439516 to Arizona State University, the University of Illinois at Urbana-Champaign and Washington State University, respectively. Meta Log in Entries RSS Comments RSS WordPress.org Acknowledgments This material is based upon work supported by the National Science Foundation under Grant Nos. SMA 1439591, SMA 1439603, and SMA 1439516 to Arizona State University, the University of Illinois at Urbana-Champaign and Washington State University. Additional acknowledgments appear on specific project pages. Proudly powered by WordPress

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