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Submitted URL: https://doi.org/10.3133/tm7C19
Effective URL: https://pubs.er.usgs.gov/publication/tm7C19
Submission: On April 27 via api from US — Scanned from DE
Effective URL: https://pubs.er.usgs.gov/publication/tm7C19
Submission: On April 27 via api from US — Scanned from DE
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Skip to main content An official website of the United States government Here’s how you know Here’s how you know Official websites use .gov A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS A lock ( LockA locked padlock ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites. Menu * USGS Publications Warehouse * Explore * Explore recent publications by USGS authors * Browse all of Pubs Warehouse by publication type and year * Documentation * About * FAQs * Web service documentation * Other resources * Descriptions of US Geological Survey Report Series * Contact Search Search GENEST USER GUIDE—SOFTWARE FOR A GENERALIZED ESTIMATOR OF MORTALITY Techniques and Methods 7-C19 Prepared in cooperation with Bureau of Land Management and the National Renewable Energy Laboratory By: Juniper Simonis, Daniel Dalthorp, Manuela M. Huso, Jeffrey Mintz, Lisa Madsen, Paul A. Rabie, and Jared Studyvin https://doi.org/10.3133/tm7C19 LINKS * Document: Report (3.7 MB pdf) * Related Work: Techniques and Methods 7-A2 — GenEst Statistical Models—A Generalized Estimator of Mortality * Data Release: USGS data release — Generalized Mortality Estimator (GenEst) - R code & GUI * Download citation as: RIS | Dublin Core ABSTRACT First posted November 7, 2018 For additional information, contact: Director, Forest and Rangeland Ecosystem Science Center U.S. Geological Survey 777 NW 9th St., Suite 400 Corvallis, Oregon 97330 GenEst (Generalized Estimator) is a software tool for estimating the total number of individuals arriving in an area during a specific time period when their detection probability is unknown but estimable. Its development was motivated by the need to accurately estimate the total number of bird and bat fatalities occurring at wind and solar energy facilities, but it is applicable in a variety of other contexts as well. Simple counts of carcasses are not an accurate measure of the true number of fatalities because some carcasses are inevitably missed in carcass searches. Furthermore, simple carcass counts do not allow comparison among locations or years because carcasses may be detected at different rates. This software uses data collected during carcass searches and estimates of detection rates to accurately estimate the number of fatalities and to provide a measure of precision associated with the estimate. These estimates are fundamental to understanding acute and cumulative effects of renewable energy development on wildlife populations. The software package is available with a user-friendly graphic interface as well as a flexible and powerful command-line implementation. GenEst includes tools for estimating searcher efficiency, carcass persistence, and other detection probability parameters from experimental field trials. Included in the software are example datasets for analyses, standard R package help files, this user guide, and vignettes detailing use at the command-line. SUGGESTED CITATION Simonis, J., Dalthorp, D., Huso, M., Mintz, J., Madsen, L., Rabie, P., and Studyvin, J., 2018, GenEst user guide—Software for a generalized estimator of mortality: U.S. Geological Survey Techniques and Methods, book 7, chap. C19, 72 p., https://doi.org/10.3133/tm7C19. ISSN: 2328-7055 (online) TABLE OF CONTENTS * Abstract * Introduction * Data Input * Analyses * Worked Examples * Acknowledgments * References Cited * Appendix Publication type Report Publication Subtype USGS Numbered Series Title GenEst user guide—Software for a generalized estimator of mortality Series title Techniques and Methods Series number 7-C19 DOI 10.3133/tm7C19 Year Published 2018 Language English Publisher U.S. Geological Survey Publisher location Reston, VA Contributing office(s) Forest and Rangeland Ecosystem Science Center Description Report: viii, 72 p.; Data Release Larger Work Type Report Larger Work Subtype USGS Numbered Series Larger Work Title Section C: Computer programs in Book 7: Automated data processing and computations Public Comments This report is Chapter 19 of Section C: Computer programs in Book 7: Automated data processing and computations. Online Only (Y/N) Y Google Analytic Metrics Metrics page Additional publication details Part or all of this report is presented in Portable Document Format (PDF). For best results viewing and printing PDF documents, it is recommended that you download the documents to your computer and open them with Adobe Reader. PDF documents opened from your browser may not display or print as intended. Download the latest version of Adobe Reader, free of charge. More information about viewing, downloading, and printing report files can be found here. DOI Privacy Policy | Legal | Accessibility | Site Map | Contact USGS U.S. Department of the Interior | DOI Inspector General | White House | E-gov | No Fear Act | FOIA