RESEARCH ARTICLE Representativeness-based sampling network design for the State of Alaska
Ó The Author(s) 2013. This article is published with open access at Springerlink.com 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 cove...
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| Format: | Text |
| Language: | English |
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.1702 http://www.forestthreats.org/products/publications/Representativeness-based_sampling.pdf |
| Summary: | Ó The Author(s) 2013. This article is published with open access at Springerlink.com 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 km 2 resolution to define multiple sets of ecoregions across two decadal time periods. Maps of ecoregions for the |
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