read.abares

Harvest data from Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) part of the Australian Department of Agriculture, Fisheries and Forestry for your work in R

https://github.com/adamhsparks/read.abares

Science Score: 26.0%

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Scientific vocabulary similarity
Low similarity (14.1%) to scientific vocabulary

Keywords

agriculture australia data-retrieval open-data open-datasets r

Last synced: 4 months ago · JSON representation

Repository

Harvest data from Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) part of the Australian Department of Agriculture, Fisheries and Forestry for your work in R

Basic Info

Host: GitHub
Owner: adamhsparks
License: other
Language: R
Default Branch: main
Homepage: https://adamhsparks.github.io/read.abares/
Size: 24.8 MB

Statistics

Stars: 3
Watchers: 1
Forks: 3
Open Issues: 1
Releases: 1

Topics

agriculture australia data-retrieval open-data open-datasets r

Created about 1 year ago · Last pushed 4 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Codemeta

README.Rmd



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# {read.abares}: Simple downloading and importing of ABARES Data 


[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-green.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)
[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
[![R-CMD-check](https://github.com/adamhsparks/read.abares/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/adamhsparks/read.abares/actions/workflows/R-CMD-check.yaml)
[![codecov](https://codecov.io/gh/adamhsparks/read.abares/graph/badge.svg?token=1ZPgFWJ0B2)](https://codecov.io/gh/adamhsparks/read.abares)


An R package for automated downloading and ingestion of data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES).

## About ABARES

ABARES is the research arm of the Australian federal Government Department of Agriculture, Fisheries and Forestry (DAFF).
ABARES' main role is "to provide professionally independent data, research, analysis and advice that informs public and private decisions affecting Australian agriculture, fisheries and forestry"[^1].

The data provided by ABARES is extensive and varied, and includes data on agricultural production, trade, and forecasts, as well as spatial data on farm locations and top-soil thickness.
ABARES data are not available from other sources but are mostly available under Creative Commons Licences for reuse.

## About {read.abares}: why this package?

ABARES makes several data sets freely available as spreadsheets in Microsoft Excel or CSV file formats and zip archives of geospatial data as NetCDF or shape files.
{read.abares} facilitates downloading, caching and importing these files in your R session.

Data serviced include:

- the [ABARES Estimates](https://www.agriculture.gov.au/abares/data/farm-data-portal#data-download);
- the [Australian Gridded Farm Data (AGFD) set](https://www.agriculture.gov.au/abares/research-topics/surveys/farm-survey-data/australian-gridded-farm-data);
- the [Australian Agricultural and Grazing Industries Survey (AAGIS)](https://www.agriculture.gov.au/abares/research-topics/surveys/farm-survey-data) region mapping files;
- the [Historical Agricultural Forecast Database](https://www.agriculture.gov.au/abares/research-topics/agricultural-outlook/historical-forecasts#:~:text=About%20the%20historical%20agricultural%20forecast,relevant%20to%20Australian%20agricultural%20markets);
- the [Soil Thickness for Australian areas of intensive agriculture of Layer 1 (A Horizon - top-soil) (derived from soil mapping)](https://data.agriculture.gov.au/geonetwork/srv/eng/catalog.search#/metadata/faa9f157-8e17-4b23-b6a7-37eb7920ead6) map and;
- the [ABARES Trade Data](https://www.agriculture.gov.au/abares/research-topics/trade/dashboard) including;
  - the trade data and;
  - the trade region data.


## Get Started

### Installation

{read.abares} is not available through CRAN (yet).
But you can install it like so:

```r
# install.packages("pak")
pak::pak("adamhsparks/read.abares")
```

## Features

### Standardised Column Names and Orders

ABARES spreadsheet data are not always consistent in their column names or orders.
{read.abares} standardises the column names and orders and uses snake_case for all colnames with the first letter capitalised of every column to help you do your work more efficiently.
Columns are formatted correctly for the data type, _e.g._, dates are converted to `Date` class, and numbers are converted to `numeric` class where necessary, etc.

### Automated Repairing of Geospatial Data

The Australian Agricultural and Grazing Industries Survey (AAGIS) region mapping files report geometry errors that can be repaired using the `sf::st_make_valid()` function.
{read.abares} automatically repairs these geometries for you when you import the data.

### File Caching

{read.abares} supports caching the files using `tools::R_user_dir(package = "read.abares", which = "cache")` to save the files in a standardised location across platforms so you don't have to worry about where the files went or if they're still there.
When requesting the files {read.abares} will first check if they are available locally either in cached or temporary storage.
Caching is not mandatory, you can just work with the downloaded files in `tempdir()`, which is cleaned up when your R session ends.

### Multiple Geospatial Data Classes Supported

{read.abares} supports multiple classes of objects to support your workflow with the NetCDF data.
Select from spatial classes for the Australian Gridded Farm Data (AGFD) NetCDF files:

- [{stars}](https://CRAN.R-project.org/package=stars),
- [{terra}](https://CRAN.R-project.org/package=terra),
- [{tidync}](https://CRAN.R-project.org/package=tidync), or if you prefer,
- a [{data.table}](https://CRAN.R-project.org/package=data.table) data.frame of the whole data set.

Or for the Soil Thickness for Australian areas of intensive agriculture of Layer 1 (A Horizon - top-soil) (derived from soil mapping) data select from:

- [{stars}](https://CRAN.R-project.org/package=stars), or
- [{terra}](https://CRAN.R-project.org/package=terra).

## About Data Serviced

You might note that not all ABARES data are serviced by this package.
The list is hand-picked to be reasonably useful and maintainable, _i.e._, frequently updated values are not included in this, _e.g._, [Australian crop reports](https://daff.ent.sirsidynix.net.au/client/en_AU/ABARES/search/results?te=ASSET&st=PD#).
However, if there is a data set that you feel would be useful to be serviced by {read.abares}, please feel free to [open an issue](https://github.com/adamhsparks/read.abares/issues/new) with details about the data set or better yet, open a pull request!

## Metadata

Please report any [issues or bugs](https://github.com/adamhsparks/read.abares/issues).

License: [MIT](LICENSE.md)

### Citations

Citing the data: Please refer to the ABARES website, , on how to cite these data when you use them.

Citing {read.abares}: When citing the use of this package, please use,

```{r}
library("read.abares")
citation("read.abares")
```

### Contributing

#### A Note on Testing

I've aimed to make the testing for this package as complete as possible.
Some of the files downloaded are >1GB and may take several minutes or more than an hour to download and due to their size, I do not wish to include them in the package itself.
If you wish to work with development of {read.abares} please be aware that it will take some time to as the tests use `tempdir()` for tests that involve caching and it will take a bit to establish your test environment cache.

### Code of Conduct

Please note that the {read.abares} project is released with a [Contributor Code of Conduct](https://adamhsparks.github.io/read.abares/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.

[^1]:

Owner

Name: Adam H. Sparks
Login: adamhsparks
Kind: user
Location: Perth, Western Australia, Australia
Company: CCDM-CBADA

Website: https://adamhsparks.netlify.app/
Repositories: 19
Profile: https://github.com/adamhsparks

Professor of Biometry and Agricultural Data Analytics. Co-founder of @OpenPlantPathology. Editor at @ropensci

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      "name": "{read.abares}: Download and Import Agricultural Data from the\n    Australian Bureau of Agricultural and Resource Economics and Sciences\n    (ABARES) and Australian Bureau of Statistics (ABS)",
      "url": "https://adamhsparks.github.io/read.abares/",
      "description": "R package version 2.0.0"
    }
  ],
  "releaseNotes": "https://github.com/adamhsparks/read.abares/blob/main/NEWS.md",
  "readme": "https://github.com/adamhsparks/read.abares/blob/main/README.md",
  "contIntegration": [
    "https://github.com/adamhsparks/read.abares/actions/workflows/R-CMD-check.yaml",
    "https://app.codecov.io/gh/adamhsparks/read.abares"
  ],
  "developmentStatus": [
    "https://lifecycle.r-lib.org/articles/stages.html#stable",
    "https://www.repostatus.org/#active"
  ],
  "keywords": [
    "agriculture",
    "australia",
    "data-retrieval",
    "open-data",
    "open-datasets",
    "r",
    "agriculture-data",
    "agriculture-dataset",
    "land-use-classification",
    "agriculture-trade-data",
    "land-use-data"
  ]
}

GitHub Events

Total

Create event: 18
Release event: 2
Issues event: 2
Watch event: 3
Delete event: 12
Issue comment event: 1
Push event: 554
Pull request review event: 1
Pull request review comment event: 25
Pull request event: 27
Fork event: 3

Last Year

Create event: 18
Release event: 2
Issues event: 2
Watch event: 3
Delete event: 12
Issue comment event: 1
Push event: 554
Pull request review event: 1
Pull request review comment event: 25
Pull request event: 27
Fork event: 3

Committers

Last synced: 6 months ago

All Time

Total Commits: 657
Total Committers: 2
Avg Commits per committer: 328.5
Development Distribution Score (DDS): 0.002

Past Year

Commits: 657
Committers: 2
Avg Commits per committer: 328.5
Development Distribution Score (DDS): 0.002

Top Committers

Name	Email	Commits
Adam H. Sparks	a**s@i**m	656
Adam H. Sparks	a**s@n**g	1

Committer Domains (Top 20 + Academic)

noreply.codeberg.org: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 2
Total pull requests: 14
Average time to close issues: about 1 hour
Average time to close pull requests: 19 minutes
Total issue authors: 2
Total pull request authors: 1
Average comments per issue: 0.5
Average comments per pull request: 0.0
Merged pull requests: 14
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 2
Pull requests: 14
Average time to close issues: about 1 hour
Average time to close pull requests: 19 minutes
Issue authors: 2
Pull request authors: 1
Average comments per issue: 0.5
Average comments per pull request: 0.0
Merged pull requests: 14
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

adamhsparks (1)
mpadge (1)

Pull Request Authors

adamhsparks (25)

Top Labels

Issue Labels

Pull Request Labels

Dependencies

.github/workflows/R-CMD-check.yaml actions

actions/checkout v4 composite
r-lib/actions/check-r-package v2 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/pkgdown.yaml actions

JamesIves/github-pages-deploy-action v4.5.0 composite
actions/checkout v4 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/test-coverage.yaml actions

actions/checkout v4 composite
actions/upload-artifact v4 composite
codecov/codecov-action v4 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

DESCRIPTION cran

cli * imports
curl * imports
data.table * imports
lubridate * imports
openxlsx2 * imports
purrr * imports
readtext * imports
sf * imports
stars * imports
stringr * imports
terra * imports
tidync * imports
withr * imports
knitr * suggests
pander * suggests
rmarkdown * suggests
roxyglobals * suggests
spelling * suggests
testthat >= 3.0.0 suggests

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science

read.abares

Science Score: 26.0%

Keywords

Repository

Basic Info

Statistics

Topics

Metadata Files

README.Rmd

Owner

CodeMeta (codemeta.json)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Dependencies