LandR
These models simulate forest vegetation dynamics based on LANDIS-II, and incorporate fire and insect disturbance, as well as other important ecological processes.
https://github.com/PredictiveEcology/LandR
Category: Biosphere
Sub Category: Forest Modeling and Analysis
Keywords
ecological-modelling landscape-ecosystem-modelling r-package spades
Keywords from Contributors
landscape-ecology simulation-modeling fire spades-module
Last synced: about 10 hours ago
JSON representation
Repository metadata
Landscape Ecosystem Modelling in R
- Host: GitHub
- URL: https://github.com/PredictiveEcology/LandR
- Owner: PredictiveEcology
- License: gpl-3.0
- Created: 2018-12-20T18:41:26.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2025-04-23T18:26:47.000Z (7 days ago)
- Last Synced: 2025-04-25T14:07:23.256Z (6 days ago)
- Topics: ecological-modelling, landscape-ecosystem-modelling, r-package, spades
- Language: R
- Homepage: https://landr.predictiveecology.org/
- Size: 7.59 MB
- Stars: 17
- Watchers: 8
- Forks: 10
- Open Issues: 13
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE
README.md
LandR
Landscape Ecosystem Modelling in R
Utilities for 'LandR' suite of landscape simulation models.
These models simulate forest vegetation dynamics based on LANDIS-II, and incorporate fire and insect disturbance, as well as other important ecological processes.
Models are implemented as SpaDES modules.
Installation
Current release
Install from CRAN:
#install.packages("LandR") ## not yet on CRAN
Install from GitHub:
#install.packages("devtools")
library("devtools")
install_github("PredictiveEcology/LandR", dependencies = TRUE)
Development version
Install from GitHub:
#install.packages("devtools")
library("devtools")
install_github("PredictiveEcology/LandR", ref = "development", dependencies = TRUE)
Getting help
- Bug reports: https://github.com/PredictiveEcology/LandR/issues
Owner metadata
- Name: Predictive Ecology Group
- Login: PredictiveEcology
- Email:
- Kind: organization
- Description: Ecological forecasting models and data
- Website: https://PredictiveEcology.org
- Location: Victoria, BC, Canada
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/10555025?v=4
- Repositories: 119
- Last ynced at: 2023-08-12T02:46:13.383Z
- Profile URL: https://github.com/PredictiveEcology
GitHub Events
Total
- Issues event: 27
- Delete event: 1
- Issue comment event: 39
- Push event: 75
- Pull request review comment event: 1
- Pull request review event: 4
- Pull request event: 25
- Fork event: 3
- Create event: 6
Last Year
- Issues event: 27
- Delete event: 1
- Issue comment event: 39
- Push event: 75
- Pull request review comment event: 1
- Pull request review event: 4
- Pull request event: 25
- Fork event: 3
- Create event: 6
Committers metadata
Last synced: 1 day ago
Total Commits: 1,896
Total Committers: 11
Avg Commits per committer: 172.364
Development Distribution Score (DDS): 0.718
Commits in past year: 47
Committers in past year: 4
Avg Commits per committer in past year: 11.75
Development Distribution Score (DDS) in past year: 0.468
| Name | Commits | |
|---|---|---|
| CeresBarros | c****s@m****a | 534 |
| Alex Chubaty | a****y@g****m | 302 |
| Alex Chubaty | a****y@f****a | 290 |
| Eliot McIntire | e****e@g****m | 247 |
| CeresBarros | c****s@g****a | 141 |
| CeresBarros | c****s@h****m | 135 |
| Eliot McIntire | e****i@m****a | 133 |
| Ian Eddy | i****y@g****m | 100 |
| CeresBarros | c****s@u****a | 9 |
| Tati Micheletti | t****i@g****m | 4 |
| ianmseddy | 3****y | 1 |
Committer domains:
- mail.ubc.ca: 2
- ubc.mail.ca: 1
- gov.bc.ca: 1
- for-cast.ca: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 51
Total pull requests: 86
Average time to close issues: about 1 year
Average time to close pull requests: 17 days
Total issue authors: 5
Total pull request authors: 7
Average comments per issue: 1.45
Average comments per pull request: 0.95
Merged pull request: 79
Bot issues: 0
Bot pull requests: 0
Past year issues: 18
Past year pull requests: 17
Past year average time to close issues: 2 months
Past year average time to close pull requests: 2 days
Past year issue authors: 4
Past year pull request authors: 5
Past year average comments per issue: 1.11
Past year average comments per pull request: 1.35
Past year merged pull request: 13
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- achubaty (34)
- CeresBarros (10)
- vanelslander-ecology (5)
- ianmseddy (1)
- rygill (1)
Top Pull Request Authors
- CeresBarros (56)
- eliotmcintire (9)
- vanelslander-ecology (6)
- DominiqueCaron (6)
- ianmseddy (5)
- achubaty (3)
- tati-micheletti (1)
Top Issue Labels
- enhancement (3)
- bug (2)
- help wanted (2)
- urgent (1)
Top Pull Request Labels
- bug (6)
- enhancement (4)
- urgent (2)
Dependencies
- R >= 3.6 depends
- CircStats * imports
- MuMIn >= 1.42.5 imports
- RColorBrewer * imports
- RCurl * imports
- SpaDES.core * imports
- SpaDES.tools >= 0.3.1.9000 imports
- XML * imports
- assertthat * imports
- backports * imports
- crayon * imports
- data.table * imports
- dplyr * imports
- fastdigest * imports
- fasterize * imports
- fpCompare * imports
- gdalUtils * imports
- ggplot2 * imports
- googledrive * imports
- grDevices * imports
- httr * imports
- lme4 * imports
- magrittr * imports
- map * imports
- methods * imports
- parallel * imports
- pemisc * imports
- plyr * imports
- quickPlot * imports
- raster * imports
- reproducible * imports
- scales * imports
- sf * imports
- sp * imports
- stats * imports
- tools * imports
- utils * imports
- covr * suggests
- knitr * suggests
- rmarkdown * suggests
- roxygen2 * suggests
- spelling * suggests
- testthat * suggests
- actions/cache v1 composite
- actions/checkout v2 composite
- actions/upload-artifact main composite
- r-lib/actions/setup-pandoc master composite
- r-lib/actions/setup-r master composite
- actions/cache v1 composite
- actions/checkout v2 composite
- r-lib/actions/setup-pandoc master composite
- r-lib/actions/setup-r master composite
Score: 5.799092654460527