| Abstract: | Many ecological processes exhibit spatial structure that changes over time in a coherent, dynamical fashion. This dynamical component is often ignored in the design of spatial monitoring networks. Furthermore, ecological variables related to processes such as habitat are often non-Gaussian (e.g. Poisson or log-normal). We demonstrate that a simulation-based design approach can be used in settings where the data distribution is from a spatio-temporal exponential family. The key random component in the conditional mean function from this distribution is then a spatio-temporal dynamic process. Given the computational burden of estimating the expected utility of various designs in this setting, we utilize an extended Kalman filter approximation to facilitate implementation. The approach is motivated by, and demonstrated on, the problem of selecting sampling locations to estimate July brood counts in the prairie pothole region of the U.S. |
| Genre: | Article |
| ProdID: | 5224466 |
| Citation Author: | Wikle, C.K.; Royle, J.A. |
| Citation Contributing Office: | Patuxent Wildlife Research Center |
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| Citation End Page: | 522 |
| Citation Issue: | 5 |
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| Citation Language: | English |
| Citation Larger Work Title: | Environmetrics |
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| Citation Number Of Pages: | 16 |
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| Citation Phsyical Description: | 507-522 |
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| Citation Public Comments: | 6382_Wikle.pdf |
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| Citation Search Results Text: | Dynamic design of ecological monitoring networks for non-Gaussian spatio-temporal data; 2005; Article; Journal; Environmetrics; Wikle, C.K.; Royle, J.A. |
| Citation Start Page: | 507 |
| Citation Volume: | 16 |
| Citation Year: | 2005 |
| Type: | citation/reference |
| Text: | Dynamic design of ecological monitoring networks for non-Gaussian spatio-temporal data; 2005; Article; Journal; Environmetrics; Wikle, C.K.; Royle, J.A. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| URL (DOCUMENT): | http://www3.interscience.wiley.com/journal/110549280/abstract |
| Date Other: | Wed, 16 Jun 2010 12:18 -0500 |
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