ibis.iSDM
Provides a series of convenience functions to fit integrated Species Distribution Models.
https://github.com/iiasa/ibis.iSDM
Category: Biosphere
Sub Category: Species Distribution Modeling
Keywords
bayesian biodiversity integrated-framework poisson-process scenarios sdm spatial-grain spatial-predictions species-distribution-modelling
Keywords from Contributors
spatial-analysis area-of-habitat biodiversity-indicators iucn land-use range conservation
Last synced: about 19 hours ago
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Repository metadata
Modelling framework for creating Integrated SDMS
- Host: GitHub
- URL: https://github.com/iiasa/ibis.iSDM
- Owner: iiasa
- License: cc-by-4.0
- Created: 2021-01-21T20:27:17.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2025-04-08T11:51:07.000Z (19 days ago)
- Last Synced: 2025-04-20T09:04:38.055Z (7 days ago)
- Topics: bayesian, biodiversity, integrated-framework, poisson-process, scenarios, sdm, spatial-grain, spatial-predictions, species-distribution-modelling
- Language: R
- Homepage: https://iiasa.github.io/ibis.iSDM/
- Size: 426 MB
- Stars: 20
- Watchers: 8
- Forks: 4
- Open Issues: 15
- Releases: 9
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- License: LICENSE.md
- Citation: CITATION.cff
README.Rmd
--- output: rmarkdown::github_document: html_preview: no --- ```{r, echo = FALSE, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ``` # The ibis framework - An **I**ntegrated model for **B**iod**I**versity distribution projection**S**[](https://lifecycle.r-lib.org/articles/stages.html#experimental) [](https://github.com/iiasa/ibis.iSDM/actions/workflows/R-CMD-check.yaml) [](https://creativecommons.org/licenses/by/4.0/) [](https://app.codecov.io/gh/iiasa/ibis.iSDM?branch=master) [](https://doi.org/10.1016/j.ecoinf.2023.102127) [](https://iiasa.r-universe.dev/ibis.iSDM) [](https://CRAN.R-project.org/package=ibis.iSDM) The **ibis.iSDM** package provides a series of convenience functions to fit integrated Species Distribution Models (iSDMs). With integrated models we generally refer to SDMs that incorporate information from different biodiversity datasets, external parameters such as priors or offsets with respect to certain variables and regions. See [Fletcher et al. (2019)](https://doi.org/10.1002/ecy.2710) and [Isaac et al. (2020)](https://linkinghub.elsevier.com/retrieve/pii/S0169534719302551) for an introduction to iSDMs. ## Installation The latest version can be installed from GitHub. A CRAN release is planned, but in the meantime the package can be found on R-universe as well. ```{r gh-installation, eval = FALSE, message=FALSE} # For installation (Not yet done) install.packages("ibis.iSDM", repos = "https://iiasa.r-universe.dev") # For Installation directly from github install.packages("remotes") remotes::install_github("IIASA/ibis.iSDM") ``` ## Basic usage See relevant [reference site](https://iiasa.github.io/ibis.iSDM/) and [articles](https://iiasa.github.io/ibis.iSDM/articles/01_train_simple_model.html). Note that the package is in active development and parameters of some functions might change. **Citation:** Jung, Martin. 2023. “An Integrated Species Distribution Modelling Framework for Heterogeneous Biodiversity Data.” Ecological Informatics, 102127, [DOI](https://doi.org/10.1016/j.ecoinf.2023.102127) ## Acknowledgement
**ibis.iSDM** is developed and maintained by the Biodiversity, Ecology and Conservation group at the International Institute for Applied Systems Analysis (IIASA), Austria. ## Contributors All contributions to this project are gratefully acknowledged using the [`allcontributors` package](https://github.com/ropenscilabs/allcontributors) following the [all-contributors](https://allcontributors.org) specification. Contributions of any kind are welcome!
Martin-Jung |
mhesselbarth |
jeffreyhanson |
Citation (CITATION.cff)
# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ibis.iSDM" in publications use:' type: software license: CC-BY-4.0 title: 'ibis.iSDM: Modelling framework for integrated biodiversity distribution scenarios' version: 0.1.5 abstract: Integrated framework of modelling the distribution of species and ecosystems in a suitability framing. This package allows the estimation of integrated species distribution models (iSDM) based on several sources of evidence and provided presence-only and presence-absence datasets. It makes heavy use of point-process models for estimating habitat suitability and allows to include spatial latent effects and priors in the estimation. To do so 'ibis.iSDM' supports a number of engines for Bayesian and more non-parametric machine learning estimation. Further, the 'ibis.iSDM' is specifically customized to support spatial-temporal projections of habitat suitability into the future. authors: - family-names: Jung given-names: Martin email: [email protected] orcid: https://orcid.org/0000-0002-7569-1390 preferred-citation: type: article title: An integrated species distribution modelling framework for heterogeneous biodiversity data authors: - family-names: Jung given-names: Martin email: [email protected] orcid: https://orcid.org/0000-0002-7569-1390 journal: Ecological Informatics volume: '76' year: '2023' url: https://doi.org/10.1016/j.ecoinf.2023.102127 start: '102127' repository-code: https://github.com/iiasa/ibis.iSDM url: https://iiasa.github.io/ibis.iSDM/ contact: - family-names: Jung given-names: Martin email: [email protected] orcid: https://orcid.org/0000-0002-7569-1390 keywords: - bayesian - biodiversity - integrated-framework - poisson-process - scenarios - sdm - spatial-grain - spatial-predictions - species-distribution-modelling references: - 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family-names: Spinu given-names: Vitalie email: [email protected] - family-names: Grolemund given-names: Garrett - family-names: Wickham given-names: Hadley year: '2024' doi: 10.32614/CRAN.package.lubridate version: '>= 1.9.0' - type: software title: rstan abstract: 'rstan: R Interface to Stan' notes: Suggests url: https://mc-stan.org/rstan/ repository: https://CRAN.R-project.org/package=rstan authors: - family-names: Guo given-names: Jiqiang email: [email protected] - family-names: Gabry given-names: Jonah email: [email protected] - family-names: Goodrich given-names: Ben email: [email protected] - family-names: Johnson given-names: Andrew email: [email protected] - family-names: Weber given-names: Sebastian email: [email protected] - family-names: Badr given-names: Hamada S. email: [email protected] orcid: https://orcid.org/0000-0002-9808-2344 year: '2024' doi: 10.32614/CRAN.package.rstan version: '>= 2.21.0' - type: software title: rstantools abstract: 'rstantools: Tools for Developing R Packages Interfacing with ''Stan''' notes: Suggests url: https://mc-stan.org/rstantools/ repository: https://CRAN.R-project.org/package=rstantools authors: - family-names: Gabry given-names: Jonah email: [email protected] - family-names: Goodrich given-names: Ben email: [email protected] - family-names: Lysy given-names: Martin email: [email protected] - family-names: Johnson given-names: Andrew year: '2024' doi: 10.32614/CRAN.package.rstantools version: '>= 2.1.1' - type: software title: testthat abstract: 'testthat: Unit Testing for R' notes: Suggests url: https://testthat.r-lib.org repository: https://CRAN.R-project.org/package=testthat authors: - family-names: Wickham given-names: Hadley email: [email protected] year: '2024' doi: 10.32614/CRAN.package.testthat version: '>= 3.0.0' - type: software title: xgboost abstract: 'xgboost: Extreme Gradient Boosting' notes: Suggests url: https://github.com/dmlc/xgboost repository: https://CRAN.R-project.org/package=xgboost authors: - family-names: Chen given-names: Tianqi email: [email protected] - family-names: He given-names: Tong email: [email protected] - family-names: Benesty given-names: Michael email: [email protected] - family-names: Khotilovich given-names: Vadim email: [email protected] - family-names: Tang given-names: Yuan email: [email protected] orcid: https://orcid.org/0000-0001-5243-233X - family-names: Cho given-names: Hyunsu email: [email protected] - family-names: Chen given-names: Kailong - family-names: Mitchell given-names: Rory - family-names: Cano given-names: Ignacio - family-names: Zhou given-names: Tianyi - family-names: Li given-names: Mu - family-names: Xie given-names: Junyuan - family-names: Lin given-names: Min - family-names: Geng given-names: Yifeng - family-names: Li given-names: Yutian - family-names: Yuan given-names: Jiaming email: [email protected] year: '2024' doi: 10.32614/CRAN.package.xgboost
Owner metadata
- Name: IIASA
- Login: iiasa
- Email: [email protected]
- Kind: organization
- Description: International Institute for Applied Systems Analysis
- Website: https://www.iiasa.ac.at
- Location: Laxenburg, Austria
- Twitter: IIASAVienna
- Company:
- Icon url: https://avatars.githubusercontent.com/u/15230149?v=4
- Repositories: 128
- Last ynced at: 2024-04-16T01:17:07.573Z
- Profile URL: https://github.com/iiasa
GitHub Events
Total
- Create event: 2
- Issues event: 6
- Release event: 1
- Watch event: 2
- Issue comment event: 11
- Push event: 40
- Pull request event: 1
- Fork event: 2
Last Year
- Create event: 2
- Issues event: 6
- Release event: 1
- Watch event: 2
- Issue comment event: 11
- Push event: 40
- Pull request event: 1
- Fork event: 2
Committers metadata
Last synced: 6 days ago
Total Commits: 538
Total Committers: 6
Avg Commits per committer: 89.667
Development Distribution Score (DDS): 0.379
Commits in past year: 140
Committers in past year: 4
Avg Commits per committer in past year: 35.0
Development Distribution Score (DDS) in past year: 0.55
Name | Commits | |
---|---|---|
Martin Jung | m****g@z****m | 334 |
mhesselbarth | m****h@g****m | 100 |
Martin-Jung | M****g | 65 |
HESSELBARTH Maximilian | h****h@i****t | 21 |
Martin Jung | j****g@i****t | 17 |
Jeff Hanson | j****n@u****u | 1 |
Committer domains:
- iiasa.ac.at: 2
- uqconnect.edu.au: 1
- zoho.com: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 86
Total pull requests: 52
Average time to close issues: 4 months
Average time to close pull requests: about 2 hours
Total issue authors: 10
Total pull request authors: 5
Average comments per issue: 2.28
Average comments per pull request: 0.42
Merged pull request: 48
Bot issues: 0
Bot pull requests: 0
Past year issues: 12
Past year pull requests: 5
Past year average time to close issues: 11 days
Past year average time to close pull requests: about 4 hours
Past year issue authors: 4
Past year pull request authors: 2
Past year average comments per issue: 1.33
Past year average comments per pull request: 0.0
Past year merged pull request: 5
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- Martin-Jung (49)
- mhesselbarth (15)
- jeffreyhanson (10)
- cwaldock1 (3)
- Daviser95 (2)
- simonrolph (2)
- ManuelSpinola (2)
- ChengchengZhang91 (1)
- king0708 (1)
- ggrittz (1)
Top Pull Request Authors
- Martin-Jung (39)
- mhesselbarth (10)
- matthewlewis896 (1)
- jeffreyhanson (1)
- xiewei18 (1)
Top Issue Labels
- enhancement (25)
- bug (17)
- Quality of life (14)
- low priority (11)
- improvement (9)
- documentation (6)
- help wanted (5)
- invalid (3)
- Feature request (3)
- good first issue (3)
- question (3)
- priority (2)
- wontfix (1)
Top Pull Request Labels
Dependencies
- actions/checkout v3 composite
- actions/upload-artifact main 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
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/checkout v3 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- JamesIves/github-pages-deploy-action v4.4.1 composite
- actions/checkout v3 composite
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- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/checkout v3 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- R >= 4.0.0 depends
- Rcpp >= 0.12.0 imports
- RcppParallel >= 5.0.1 imports
- assertthat >= 0.2.0 imports
- doFuture >= 0.12.2 imports
- foreach * imports
- future >= 1.23.0 imports
- geodist * imports
- ggplot2 * imports
- magrittr * imports
- methods * imports
- ncdf4 * imports
- parallel * imports
- posterior * imports
- proto >= 1.0.0 imports
- raster >= 3.4 imports
- rgdal >= 1.5 imports
- rgeos >= 0.5 imports
- sf >= 0.9 imports
- stars >= 0.5 imports
- testthat >= 3.0.0 imports
- tibble >= 2.0.0 imports
- uuid * imports
- BoomSpikeSlab >= 1.2.4 suggests
- covr * suggests
- dbarts >= 0.9 suggests
- deldir * suggests
- doParallel * suggests
- ellipsis * suggests
- knitr * suggests
- mboost * suggests
- modEvA * suggests
- progress * suggests
- rmarkdown * suggests
- rstan >= 2.21.0 suggests
- rstantools >= 2.1.1 suggests
- xgboost * suggests
Score: 5.3471075307174685