This lesson is still being designed and assembled (Pre-Alpha version)

Data Carpentry for Camera Traps: Glossary

Key Points

Organizing Camera Trap Data
  • Load camera trap data into R with the camtrapR package

  • Rename photos according to trap location and date, then copy to a new folder

  • When character strings between two dataframes do not match the str_replace() function can replace or change parts of the strings for a column in a dataframe

  • Spatial objects can be projected using the st_transform() function

Organizing Whiskerbook
  • Whiskerbook takes a specific format for data upload

  • Casting the file names into long format for Encounter.mediaAsset

Wildbook Data Portal Tutorial
  • Upload data into the Wildbook

  • Understand encounters and how to navigate the encounters page

  • Effectively delete encounters

  • Use Hotspotter and Visual Matcher for individual identification

  • Report an encounter

Whiskerbook Post-Export
  • Use dplyr to get basic descriptive information about the number of individuals

  • organize encounters and stations in the correct format for oSCR

Whiskerbook Data Manipulation
  • Subset left and right only individuals

  • Subset individuals that have encounters that include both left and right sides

  • Subset dataframes that include left only and both sides, and right and both sides

Spatial-Capture Recapture Data Preparation
  • Format data to only include data from a single session

  • Know how to parameterize a buffer mask with covariates

  • Know how to clip a buffer mask to a shapefile boundary

Spatial-Capture Recapture Modeling

Glossary

FIXME