peskas.zanzibar.data.pipeline 2.0.0
Major Changes
- Complete overhaul of the data pipeline architecture
- Added PDS (Pelagic Data Systems) integration:
- New trip ingestion and preprocessing functionality
- GPS track data processing capabilities
- Implemented MongoDB export and storage functions
- Removed renv dependency management for improved reliability
- Updated Docker configuration for more robust builds
New Features
- Enhanced validation system for survey data
- Added new data processing steps:
- GPS track preprocessing
- Catch data validation
- Length measurements validation
- Market data validation
- Flexible data export capabilities
- Improved GitHub Actions workflow with additional processing steps
Infrastructure Updates
- Streamlined package dependencies
- Updated build and deployment processes
- Enhanced data storage and retrieval mechanisms
peskas.zanzibar.data.pipeline 1.0.0
Improvements
- All the functions are now documented and indexed according to keywords
- Thin out the R folder gathering functions by modules
Changes
- Move to parquet format rather than CSV/RDS
peskas.zanzibar.data.pipeline 0.2.0
New features
Added the validation step and updated the preprocessing step for wcs kobo surveys data, see preprocess_wcs_surveys()
and validate_wcs_surveys()
functions. Currently, validation for catch weight, length and market values are obtained using median absolute deviation method (MAD) leveraging on the k parameters of the univOutl::LocScaleB
function.
In order to accurately spot any outliers, validation is performed based on gear type and species.
N.B. VALIDATION PARAMETERS ARE NOT YET TUNED
Changes
No need to run the pipeline every two days, decreased not to every 4 days.
peskas.zanzibar.data.pipeline 0.1.0
Drop parent repository code (peskas.timor.pipeline), add infrastructure to download WCS survey data and upload it to cloud storage providers
New features
- The ingestion of WCS Zanzibar surveys is implemented in
ingest_wcs_surveys()
.
- The functions
retrieve_wcs_surveys()
downloads WCS Zanzibar surveys data