Representativeness-based Sampling Network Design for the State of Alaska
This data set collection consists of data products described in Hoffman et. al., 2013. Hoffman, Forrest M., Jitendra Kumar, Richard T. Mills, and William W. Hargrove. October 1, 2013. Representativeness-based Sampling Network Design for the State of Alaska. Landscape Ecology, 28(8):1567-1586. doi:10...
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ftosti:oai:osti.gov:1108686 2023-07-30T04:02:03+02:00 Representativeness-based Sampling Network Design for the State of Alaska Hoffman, Forrest Kumar, Jitendra Mills, Richard Hargrove, William 2019-10-07 application/pdf http://www.osti.gov/servlets/purl/1108686 https://www.osti.gov/biblio/1108686 https://doi.org/10.5440/1108686 unknown http://www.osti.gov/servlets/purl/1108686 https://www.osti.gov/biblio/1108686 https://doi.org/10.5440/1108686 doi:10.5440/1108686 54 Environmental Sciences 2019 ftosti https://doi.org/10.5440/1108686 2023-07-11T08:54:49Z This data set collection consists of data products described in Hoffman et. al., 2013. Hoffman, Forrest M., Jitendra Kumar, Richard T. Mills, and William W. Hargrove. October 1, 2013. Representativeness-based Sampling Network Design for the State of Alaska. Landscape Ecology, 28(8):1567-1586. doi:10.1007/s10980-013-9902-0 Abstract: Resource and logistical constraints limit the frequency and extent of environmental observations, particularly in the Arctic, necessitating the development of a systematic sampling strategy to maximize coverage and objectively represent environmental variability at desired scales. A quantitative methodology for stratifying sampling domains, informing site selection, and determining the representativeness of measurement sites and networks is described here. Multivariate spatiotemporal clustering was applied to down-scaled general circulation model results and data for the State of Alaska at 4 km2 resolution to define multiple sets of ecoregions across two decadal time periods. Maps of ecoregions for the present (2000-2009) and future (2090-2099) were produced, showing how combinations of 37 characteristics are distributed and how they may shift in the future. Representative sampling locations are identified on present and future ecoregion maps. A representativeness metric was developed, and representativeness maps for eight candidate sampling locations were produced. This metric was used to characterize the environmental similarity of each site. This analysis provides model-inspired insights into optimal sampling strategies, offers a framework for up-scaling measurements, and provides a down-scaling approach for integration of models and measurements. These techniques can be applied at different spatial and temporal scales to meet the needs of individual measurement campaigns. Dataset DOI:10.5440/1108686; https://doi.org/10.5440/1108686 Other/Unknown Material Arctic Alaska SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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54 Environmental Sciences |
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54 Environmental Sciences Hoffman, Forrest Kumar, Jitendra Mills, Richard Hargrove, William Representativeness-based Sampling Network Design for the State of Alaska |
topic_facet |
54 Environmental Sciences |
description |
This data set collection consists of data products described in Hoffman et. al., 2013. Hoffman, Forrest M., Jitendra Kumar, Richard T. Mills, and William W. Hargrove. October 1, 2013. Representativeness-based Sampling Network Design for the State of Alaska. Landscape Ecology, 28(8):1567-1586. doi:10.1007/s10980-013-9902-0 Abstract: Resource and logistical constraints limit the frequency and extent of environmental observations, particularly in the Arctic, necessitating the development of a systematic sampling strategy to maximize coverage and objectively represent environmental variability at desired scales. A quantitative methodology for stratifying sampling domains, informing site selection, and determining the representativeness of measurement sites and networks is described here. Multivariate spatiotemporal clustering was applied to down-scaled general circulation model results and data for the State of Alaska at 4 km2 resolution to define multiple sets of ecoregions across two decadal time periods. Maps of ecoregions for the present (2000-2009) and future (2090-2099) were produced, showing how combinations of 37 characteristics are distributed and how they may shift in the future. Representative sampling locations are identified on present and future ecoregion maps. A representativeness metric was developed, and representativeness maps for eight candidate sampling locations were produced. This metric was used to characterize the environmental similarity of each site. This analysis provides model-inspired insights into optimal sampling strategies, offers a framework for up-scaling measurements, and provides a down-scaling approach for integration of models and measurements. These techniques can be applied at different spatial and temporal scales to meet the needs of individual measurement campaigns. Dataset DOI:10.5440/1108686; https://doi.org/10.5440/1108686 |
author |
Hoffman, Forrest Kumar, Jitendra Mills, Richard Hargrove, William |
author_facet |
Hoffman, Forrest Kumar, Jitendra Mills, Richard Hargrove, William |
author_sort |
Hoffman, Forrest |
title |
Representativeness-based Sampling Network Design for the State of Alaska |
title_short |
Representativeness-based Sampling Network Design for the State of Alaska |
title_full |
Representativeness-based Sampling Network Design for the State of Alaska |
title_fullStr |
Representativeness-based Sampling Network Design for the State of Alaska |
title_full_unstemmed |
Representativeness-based Sampling Network Design for the State of Alaska |
title_sort |
representativeness-based sampling network design for the state of alaska |
publishDate |
2019 |
url |
http://www.osti.gov/servlets/purl/1108686 https://www.osti.gov/biblio/1108686 https://doi.org/10.5440/1108686 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Alaska |
genre_facet |
Arctic Alaska |
op_relation |
http://www.osti.gov/servlets/purl/1108686 https://www.osti.gov/biblio/1108686 https://doi.org/10.5440/1108686 doi:10.5440/1108686 |
op_doi |
https://doi.org/10.5440/1108686 |
_version_ |
1772812781863567360 |