Datapaper WildCrossData Latin America

Welcome

This book documents the data quality checks performed on the camera trap data. Each chapter describes a specific check and its implementation.

Chapters

2. Custom Functions - Creates reusable custom functions for data checks.
3. Column Consistency - Checks for consistency in column types across spreadsheets.
4. Blank Cells - Identifies blank cells and sheets in the data.
5. Species Validity - Validates species names using the Global Names Verifier API.
6. Structure Checks - Verifies consistency between camera trap and structure data
7. Camera ID Verification - Ensures camera IDs are properly linked across datasets.
8. Camera Date Checks - Checks several possibilities for anomalous dates.
9. Camera ID Duplicated on Structure - Tests if there is a duplicated camera IDs for a given structure.
10. Structure Measurements - Verifies the consistency of measurements fields.
11. Structure Coordinates Parameters - Tests if the coordinates parameters such as UTM zones and parameters are correctly provided.
12. Structure Locations - Checks if the structures provided are within a distance of a road, railroad or pipeline.
13. Structure Camera Record Criteria - Verifies if the records are comprised whithin the record criteria provided.
14. Photo Verification - Checks if the photos/videos filenames from camera traps and structures attributed in the spreadsheets exist on the media package provided.

About

This book is part of the data quality assurance process for the camera trap dataset. Each check is implemented in R and documented using Quarto.