Skip to contents

A data_frame that can be used with the Why to Crop Quadrats by Area vignette to show how quadrat data can be cropped while maintaining spatial relationships between observations. 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.

Usage

softcoral_annotations

Format

A data_frame with 4 columns, which are:

Name

Unique identification code for each quadrat.

Row

The pixel row where the annotation occurred in the photo of the quadrat.

Column

The pixel column where the annotation occurred in the photo of the quadrat.

Label

The identification for the substrate below the annotation location.