A data_frame that can be used with the Simple Examples
of Functions vignette to learn how the cleaning functions in quadcleanR work.
Data was collected by the Baum Lab
and Kiritimati Field Teams. Data is the uncleaned version of data found in
Maucieri and Baum 2021. Biological Conservation. doi:10.1016/j.biocon.2021.109328
The data are from photo quadrats (1m by 1m) which were randomly annotated
with 100 random points each. At each of these annotated points, the substrate
was identified. Photo quadrats were collected on Kiritimati Island in the
Republic of Kiribati and document coral cover over time and space. The
annotations and output of the data_frame were produced using
CoralNet and all annotations were done manually,
by trained researchers.
Format
A data_frame with 14 columns, which are:
- Field.Season
Field season ID.
- Site
Site number.
- Quadrat
Quadrat ID.
- AcCor
Percent of total annotated points annotated for Acropora (corymbose morphology).
- AcDig
Percent of total annotated points annotated for Acropora (digitate morphology).
- AcroTab
Percent of total annotated points annotated for Acropora (tabulate morphology).
- Monta
Percent of total annotated points annotated for Montastraea.
- Lepta
Percent of total annotated points annotated for Leptastrea.
- Sinu
Percent of total annotated points annotated for Sinularia.
- Clad
Percent of total annotated points annotated for Cladiella.
- Lobph
Percent of total annotated points annotated for Lobophora.
- Sarco
Percent of total annotated points annotated for Sarcophyton.
- Unc
Percent of total annotated points annotated for unclear.
- SHAD
Percent of total annotated points annotated for shadow.