文件列表:

LICENSE (1097, 2023-12-18)
data/ (0, 2023-12-18)
data/processed/ (0, 2023-12-18)
data/processed/event.csv (6114903, 2023-12-18)
data/processed/mof.csv (1215393, 2023-12-18)
data/processed/occurrence.csv (1504779, 2023-12-18)
data/raw/ (0, 2023-12-18)
data/raw/vissen_en_crustacea.csv (5078889, 2023-12-18)
pov-fishes-occurrences.Rproj (293, 2023-12-18)
sql/ (0, 2023-12-18)
sql/dwc_event.sql (1656, 2023-12-18)
sql/dwc_mof.sql (3248, 2023-12-18)
sql/dwc_occurrence.sql (6251, 2023-12-18)
src/ (0, 2023-12-18)
src/dwc_mapping.Rmd (7695, 2023-12-18)
src/fetch_data.Rmd (2184, 2023-12-18)
src/install_packages.R (678, 2023-12-18)
src/run_dwc_mapping.R (155, 2023-12-18)
src/run_fetch_data.R (426, 2023-12-18)
tests/ (0, 2023-12-18)
tests/test_dwc_event_occurrence_mof.R (10663, 2023-12-18)

[](https://www.riparias.be/) [](https://github.com/riparias/pov-fishes-occurrences/actions/workflows/fetch-data.yaml) [](https://github.com/riparias/pov-fishes-occurrences/actions/workflows/mapping_and_testing.yaml) ## Rationale This repository contains the functionality to standardize the fishes and crayfishes data of the [Province East Flanders](https://www.oost-vlaanderen.be/) to a [Darwin Core Archive](https://ipt.gbif.org/manual/en/ipt/2.5/dwca-guide) that can be harvested by a [GBIF IPT](https://ipt.gbif.org/manual/en/ipt/2.5/). ## Workflow [fetch data](https://github.com/riparias/pov-fishes-occurrences/tree/main/src/fetch_data.Rmd) from WFS → save them as local [source data](https://github.com/riparias/pov-fishes-occurrences/tree/main/data/raw) → Darwin Core [mapping script](https://github.com/riparias/pov-fishes-occurrences/tree/main/src/dwc_mapping.Rmd) → generated [Darwin Core files](https://github.com/riparias/pov-fishes-occurrences/tree/main/data/processed) ## Published dataset * [Dataset on the IPT](https://ipt.inbo.be/resource?r=pov-fishes-occurrences) * [Dataset on GBIF](https://doi.org/10.15468/ap9ejd) ## Repo structure The repository structure is based on [Cookiecutter Data Science](http://drivendata.github.io/cookiecutter-data-science/) and the [Checklist recipe](https://github.com/trias-project/checklist-recipe). Files and directories indicated with `GENERATED` should not be edited manually. ``` ├── README.md : Description of this repository ├── LICENSE : Repository license ├── pov-fishes-occurrences.Rproj : RStudio project file ├── .gitignore : Files and directories to be ignored by git │ ├── .github │ ├── PULL_REQUEST_TEMPLATE.md : Pull request template │ └── workflows │ │ ├── fetch-data.yaml : GitHub action to fetch raw data │ │ └── mapping_and_testing.yaml : GitHub action to map data to DwC and perform some tests on the Dwc output | ├── src │ ├── fetch_data.Rmd : Fetchin data script │ ├── dwc_mapping.Rmd : Darwin Core mapping script │ ├── run_fetch_data.R : R script to run code in fetch_data.Rmd in an automatic way within a GitHub action │ ├── run_dwc_mapping.R : R script to run code in dcw_mapping.Rmd in an automatic way within a GitHub action │ └── install_packages.R : R script to install all needed packages | ├── sql : Darwin Core transformations │ └── dwc_event.sql │ ├── dwc_occurrence.sql │ └── dwc_mof.sql │ └── data │ ├── raw : Fetched data │ └── processed : Darwin Core output of mapping script GENERATED ``` ## Installation 1. Clone this repository to your computer 2. Open the RStudio project file 3. Run `install_packages.R` to install any required packages 4. Open `fetch_data.Rmd` [R Markdown file](https://rmarkdown.rstudio.com/) in RStudio to fetch data manually 5. Open the `dwc_mapping.Rmd` [R Markdown file](https://rmarkdown.rstudio.com/) in RStudio to map data to DwC manually 6. Click `Run > Run All` to generate the processed data ## License [MIT License](LICENSE) for the code and documentation in this repository. The included data is released under another license.

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