期刊
CONSERVATION SCIENCE AND PRACTICE
卷 3, 期 7, 页码 -出版社
WILEY
DOI: 10.1111/csp2.445
关键词
monitoring design; population monitoring; population trend; power analysis; status and trend; study design
资金
- Core Science Analytics, Synthesis, & Libraries (CSASL) Advanced Research Computing (ARC) group at the U.S. Geological Survey
The TrendPowerTool is a web-based lookup app that quickly provides users with an estimate of the statistical power to detect a population trend of a particular magnitude in a planned monitoring program. With a user-friendly interface, users can retrieve results instantaneously, facilitating the important step of conducting a power analysis when designing monitoring programs.
A simulation-based power analysis can be used to estimate the sample sizes needed for a successful monitoring program, but requires technical expertise and sometimes extensive computing resources. We developed a web-based lookup app, called TrendPowerTool (), to provide guidance for ecological monitoring programs when resources are not available for a simulation-based power analysis. TrendPowerTool is implemented through the shiny package in R, but is accessible through a webpage without the need for users to install any software. By drawing on results of 1.4 million scenarios that we simulated on a supercomputer, TrendPowerTool quickly and easily provides an estimate of the statistical power to detect a population trend of a particular magnitude with a planned monitoring program, based on user-specified parameters for the monitoring design and population of interest. TrendPowerTool provides a user-friendly interface that retrieves results instantaneously, facilitating the important step of conducting a power analysis when designing monitoring programs.
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