Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks

Christopher T Rota; Alexander J Wolf; Rochelle B Renken; Robert A Gitzen; Debby K Fantz; Robert A Montgomery; Matthew G Olson; Larry D Vangilder; Joshua J Millspaugh

doi:10.1016/j.dib.2016.08.043

Simulated data and code for analysis of herpetofauna response to forest management in the Missouri Ozarks

Data Brief. 2016 Aug 30:9:477-479. doi: 10.1016/j.dib.2016.08.043. eCollection 2016 Dec.

Authors

Christopher T Rota¹, Alexander J Wolf², Rochelle B Renken², Robert A Gitzen³, Debby K Fantz², Robert A Montgomery⁴, Matthew G Olson², Larry D Vangilder⁵, Joshua J Millspaugh⁵

Affiliations

¹ West Virginia University, School of Natural Resources, United States; University of Missouri, Fisheries and Wildlife Sciences, United States.
² Missouri Department of Conservation, United States.
³ Auburn University, School of Forestry and Wildlife Sciences, United States.
⁴ Michigan State University, Department of Fisheries and Wildlife, United States.
⁵ University of Missouri, Fisheries and Wildlife Sciences, United States.

Abstract

We present predictor variables and R and Stan code for simulating and analyzing counts of Missouri Ozark herpetofauna in response to three forest management strategies. Our code performs four primary purposes: import predictor variables from spreadsheets; simulate synthetic response variables based on imported predictor variables and user-supplied values for data-generating parameters; format synthetic data for export to Stan; and analyze synthetic data.