Science Score: 36.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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2 of 4 committers (50.0%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (13.3%) to scientific vocabulary
Repository
Downscaling land-use change projections
Basic Info
- Host: GitHub
- Owner: tkrisztin
- License: other
- Language: R
- Default Branch: main
- Homepage: https://tkrisztin.github.io/downscalr/
- Size: 7.38 MB
Statistics
- Stars: 10
- Watchers: 2
- Forks: 4
- Open Issues: 1
- Releases: 2
Metadata Files
README.md
downscalr
An R package for downscaling of land-use and land-use change projections. You find the same information (and example vignettes) on the pkgdown website here.
This package allows to downscale land-use and land-use change projections from models such as GLOBIOM, CAPRI or FABLE models.
Development of the package was supported by the European Union - Directorate General Environment, as well as the European Union’s Partnership Instrument and the German Federal Ministry for the Environment, Nature Conservation, and Nuclear Safety (BMU) in the context of the International Climate Initiative (IKI).
Installation:
You need R to run the scripts. In R the following commands install the devtools and downscalr packages. Devtools is required to install packages from Github.
For now, if you want to install the package with its vignette -- this provides a quick guide on how to use downscalr --, knitr and rmarkdown are required as well.
# just install the downscalr package
## install.packages("devtools")
devtools::install_github("tkrisztin/downscalr", ref="HEAD", repos = "http://cran.us.r-project.org")
# install the downscalr package with vignette
# (note: this may take a couple minutes since some computing is required to render the vignette).
## install.packages(c("devtools", "knitr", "rmarkdown"))
devtools::install_github("tkrisztin/downscalr", ref="HEAD", build_vignettes = TRUE, repos = "http://cran.us.r-project.org")
Running downscalr
If you have have followed the install instructions with vignette above, you can view a step by step tutorial via the following command in R:
browseVignettes("downscalr")
This should open a tab in your browser, click on "HTML" to access the tutorial. For additional guidance see the DownScale package documentation here: https://bit.ly/3fiLG3u
Additional information
The package was further developed in the context of the European Union Biodiversity and Climate strategies Assessment (EU BIOCLIMA) project. The main project goal is to review and assess EU policies on land-use with diverse objectives from forestry, food production, climate change mitigation and biodiversity conservation, and then assess their impacts on biodiversity (e.g. species conservation status and ecosystems extent and condition) and on carbon stocks and flows.
This package was created in the context of the SPIPA Argentina project, in joint cooperation with colleagues from the National Agricultural Technology Institute. The main purpose of this was to port IIASA's DownScale model, for easier comparison with INTA's Argentina specific implementation of Dinamica EGO for the purpose of downscaling FABLE Calculator output. This enables a more in-depth representation of high-resolution land-use change projections.
Originally downscalr was developed to provide high-resolution projections of the GLOBIOM model. However, within the course of SPIPA Argentina we have expanded it to be fully compatible with FABLE Calculator output. Moreover, the code was ported to R and documented thoroughly, to enable ease of use by INTA, our Argentinian project partner.
Supported by:
Downscalr was developed with the financial support of the European Union’s Partnership Instrument and the German Federal Ministry for the Environment, Nature Conservation, and Nuclear Safety (BMU) in the context of the International Climate Initiative (IKI). Its contents are the sole responsibility of International Institute for Applied Systems Analysis (IIASA) and do not necessarily reflect the views of the funders.
Owner
- Name: Tamás Krisztin
- Login: tkrisztin
- Kind: user
- Location: Laxenburg, Austria
- Company: International Institute for Applied Systems Analysis (IIASA)
- Website: https://sites.google.com/view/tamaskrisztin/
- Repositories: 2
- Profile: https://github.com/tkrisztin
GitHub Events
Total
- Watch event: 2
- Push event: 1
Last Year
- Watch event: 2
- Push event: 1
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| lringwald | r****d@i****t | 94 |
| tkrisztin | t****n@g****m | 82 |
| WOGERER Michael | m****3@g****t | 19 |
| Leopold Ringwald | l****d@L****t | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- michidoubleu (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- R >= 3.5.0 depends
- BayesLogit * imports
- MASS * imports
- dplyr * imports
- ggplot2 * imports
- ggthemes * imports
- methods * imports
- ncdf4 * imports
- nloptr * imports
- sp * imports
- terra * imports
- tibble * imports
- tidyr * imports
- knitr * suggests
- rmarkdown * suggests