EPA: spsurvey
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Title
| spsurvey: Spatial Survey Design and Analysis |
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Author
| Kincaid, T. and Olsen, A.R. |
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Abstract/Summary Statement
| Spatial survey design and analysis algorithms based on R statistical software for use in design and analysis of aquatic monitoring programs. The EMAP Design Team developed a single library that enables users to: (1) complete site selection for spatial survey designs based on GRTS spatial balance algorithms as well as those based on simple random algorithms and (2) conduct population estimation for data collected using those designs. The spsurvey library implements these activities. Other software that is necessary for using spsurvey is provided (main R software program and another R library) as well as a text editor (Tinn-R) that is specially designed to work with R. Instructions on how to install R, the libraries, and Tinn-R are given. A user guide is provided as well as several examples to help the user learn how to select sites and analyze the subsequent data collected. All changes to spsurvey are documented and should be consulted. |
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Table of Contents
| The download contains: Software and support files, including a user guide. See also related journal articles about spsurvey. |
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Citation
| Kincaid, T. M. and Olsen, A. R., 2012, spsurvey: Spatial Survey Design and Analysis. R package version 2.3. US Environmental Protection Agency |
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Method Source
| EPA |
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Source Organization Country
| USA |
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Publication Year
| 2012 |
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Special Notes
| Related articles: T. Olsen, D. Stevens, C. Platt, D. White, and R. Remington, 2009, spsurvey: Spatial Survey Design and Analysis R package v2.1.; Stevens, D. L., Jr. and A. R. Olsen (2004), Spatially-balanced sampling of natural resources, Journal of American Statistical Association 99(465): 262-278;Stevens, D. L., Jr. and A. R. Olsen, 2003, Variance estimation for spatially balanced samples of environmental resources, Environmetrics 14: 593-610. |
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Item Type
| Downloadable Software |
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Publication Source Type
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Government Agency (Federal, USA) |
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Purpose
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Data analysis Monitoring program design |
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Design or Data Analysis Objectives
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Probability survey |
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Complexity
| Medium |
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Media Emphasized
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Biological Groundwater Surface Water |
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Media Subcategory
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Special Topics
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