remBoot: An R package for Random Encounter Modelling

Research output: Contribution to journalArticlepeer-review

5 Downloads (Pure)

Abstract

The Random Encounter Model (REM) allows researchers to calculate population densities from camera trap data for species which do no exhibit individually-identifiable markings. The method uses parameters derived from captured images, the camera traps themselves, and ecological studies of the focal species. remBoot is the first package to implement REM calculations in R
Original languageEnglish
Article number10
JournalJournal of Open Source Software
Volume2
DOIs
Publication statusPublished - 2017
Externally publishedYes

Keywords

  • random encounter model
  • REM
  • species density
  • population density

Fingerprint

Dive into the research topics of 'remBoot: An R package for Random Encounter Modelling'. Together they form a unique fingerprint.

Cite this