The Data Status Report provides an overview of the quality, completeness, and readiness of a camera-trap dataset before generating the final Ecological Report. It helps users check whether the main input files, metadata fields, deployment information, observation records, taxonomy, timestamps, annotation information, and spatial data are complete and internally consistent.
This report is especially useful as a first quality-control step. It allows users to identify missing values, duplicated records, invalid timestamps, incomplete metadata, spatial issues, and inconsistencies between deployments and observations. Based on these checks, users can decide whether the dataset is ready for reporting or whether further correction is needed before ecological analyses are performed.
Figure 1. Workflow for generating a Data Status Report from camera-trap data using camtrapReport.
Figure 1 summarises how camtrapReport checks the
readiness of a camera-trap dataset before ecological reporting. After
the data are loaded with camData(), the
status() function runs automated checks on the main input
files, metadata, deployments, observations, timestamps, taxonomy,
spatial information, and annotation records. The output helps users
identify potential issues and decide whether the dataset is ready for
generating the final Ecological Report.
library(camtrapReport)
# Load camera-trap data
cm <- camData("cameratrap.zip")
# Generate and view the Data Status Report
status(cm, view = TRUE)When view = TRUE, the generated report is opened in the
browser. This provides a quick, human-readable overview of dataset
quality, completeness, and consistency.
Below are example Data Status Reports generated with
camtrapReport for different camera-trap monitoring
projects. These examples show how the report can be used to assess
dataset completeness, detect possible issues, and evaluate whether the
data are ready for ecological reporting. Click on an image to open the
full HTML report.