caliver
CALIbration and VERification of gridded fire danger models.
https://github.com/ecmwf/caliver
Category: Biosphere
Sub Category: Wildfire
Keywords
calibration geospatial-data natural-hazard netcdf r verification wildfire
Last synced: about 2 hours ago
JSON representation
Repository metadata
caliver: CALIbration and VERification of gridded fire danger models
- Host: GitHub
- URL: https://github.com/ecmwf/caliver
- Owner: ecmwf
- Created: 2016-11-08T16:11:16.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2022-02-21T17:56:21.000Z (about 3 years ago)
- Last Synced: 2024-10-29T20:59:43.261Z (6 months ago)
- Topics: calibration, geospatial-data, natural-hazard, netcdf, r, verification, wildfire
- Language: R
- Homepage: https://ecmwf.github.io/caliver
- Size: 8.79 MB
- Stars: 18
- Watchers: 5
- Forks: 8
- Open Issues: 2
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
README.md
caliver
An R package for the calibration and verification of gridded models
caliver is a package developed for the R programming language. The name stands for calIbration and verification of gridded models. Although caliver was initially designed for wildfire danger models such as GEFF (developed by ECMWF) and RISICO (developed by CIMA Research Foundation), the algorithms can be applied to any gridded model output. Caliver is available with an APACHE-2 license.
For more details, please see the following papers:
-
Vitolo C, Di Giuseppe F, D’Andrea M (2018) Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLOS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419
Please note: in the latest version of the caliver package many functionalities described in this paper have become obsolete and deprecated, please refer to the vignette "An introduction to the caliver package" for more details. -
Vitolo C., Di Giuseppe F., Barnard C., Coughlan R., Krzeminski B., San-Miguel-Ayanz J. ERA5-based global meteorological wildfire danger maps. Sci Data 7, 216 (2020). https://doi.org/10.1038/s41597-020-0554-z
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Vitolo C., Di Giuseppe F., Krzeminski B., San-Miguel-Ayanz J. A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices, Sci Data 6, 190032 (2019). https://doi.org/10.1038/sdata.2019.32
Installation
The installation of the caliver package depends on the following libraries:
Make sure you have the above libraries installed before attempting to install caliver.
Once all the dependencies are installed, get caliver's development version from github using devtools:
install.packages("remotes")
remotes::install_github("ecmwf/caliver")
Alternatively, the stable version of this package is available on CRAN and can be installed as shown below.
install.packages("caliver")
Load the package:
library("caliver")
Docker
In this repository you find a Dockerfile that contains all the necessary dependencies and the caliver package already installed.
docker build -t ecmwf/caliver:latest -f Dockerfile .
Alternatively, you can use the image we host on docker hub:
docker run -it --rm ecmwf/caliver:latest bash
Meta
- This package and functions herein are part of an experimental open-source project. They are provided as is, without any guarantee.
- Contributions are welcome! Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
- Please report any issues or bugs.
- License: Apache License 2.0
- Get citation information for
caliverin R doingcitation(package = "caliver")
Owner metadata
- Name: European Centre for Medium-Range Weather Forecasts
- Login: ecmwf
- Email: [email protected]
- Kind: organization
- Description: Providing software to work with meteorological data and services
- Website: www.ecmwf.int
- Location: Shinfield Park, Reading, United Kingdom
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/6368067?v=4
- Repositories: 44
- Last ynced at: 2023-03-02T03:00:24.789Z
- Profile URL: https://github.com/ecmwf
GitHub Events
Total
Last Year
Committers metadata
Last synced: 6 days ago
Total Commits: 610
Total Committers: 4
Avg Commits per committer: 152.5
Development Distribution Score (DDS): 0.061
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Claudia Vitolo | c****o@g****m | 573 |
| Claudia Vitolo | m****0@b****t | 34 |
| Mirko D'Andrea | m****a@g****m | 2 |
| Carlos Valiente | c****e@e****t | 1 |
Committer domains:
- ecmwf.int: 1
- blanch.ecmwf.int: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 11
Total pull requests: 17
Average time to close issues: 10 months
Average time to close pull requests: about 3 hours
Total issue authors: 3
Total pull request authors: 3
Average comments per issue: 1.45
Average comments per pull request: 0.47
Merged pull request: 17
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- cvitolo (9)
- julimi26 (1)
- jeffcsauer (1)
Top Pull Request Authors
- cvitolo (15)
- mirkodandrea (1)
- carletes (1)
Top Issue Labels
- help wanted (2)
Top Pull Request Labels
Dependencies
- R >= 3.5 depends
- ggplot2 * imports
- graphics * imports
- ncdf4 * imports
- raster * imports
- reshape2 * imports
- rworldmap * imports
- scales * imports
- sp * imports
- stats * imports
- covr * suggests
- knitr * suggests
- lintr * suggests
- rmarkdown * suggests
- testthat >= 2.1.0 suggests
Score: 4.382026634673881