landmine

A simple landscape fire simulator that is based on a fire return interval polygon input

https://github.com/predictiveecology/landmine

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.1%) to scientific vocabulary

Keywords

fire landscape-ecology spades-module

Keywords from Contributors

reproducibility
Last synced: 6 months ago · JSON representation ·

Repository

A simple landscape fire simulator that is based on a fire return interval polygon input

Basic Info
  • Host: GitHub
  • Owner: PredictiveEcology
  • License: other
  • Language: HTML
  • Default Branch: main
  • Size: 1.39 MB
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 0
  • Open Issues: 2
  • Releases: 0
Topics
fire landscape-ecology spades-module
Created almost 8 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

Overview

Landmine is a model created for simulating the natural range of variation for landscapes in the boreal forest. Written in the 1990s (Andison 1996), it has been widely used by the public and the private sector for various purposes. This SpaDES module is a rewrite of the fire component in native R.

Current Differences

The current version has not been fully tested and compared with the original version, and there are currently several known differences:

  • Fire sizes are taken from a Truncated Pareto distribution, resulting in numerous very small fires, and few large fires.
  • Parameters have been not been fitted to the landscapes that are under study in the LandWeb project

Known species

Landmine requires the following codes as inputs (the genus_spec form below), and converts and groups species as follows. Each of the species groups has its own Rate of Spread (ROS) for fire spreading:

  • PINU

    • "Pinu_ban"
    • "Pinu_con"
    • "Pinu_sp"
  • DECI

    • Betu_pap
    • Popu_bal
    • Popu_tre
    • Lari_lar
  • PICE_MAR

    • Pice_mar
  • PICE_GLA

    • Pice_gla
  • ABIE

    • Abie_sp

Owner

  • Name: Predictive Ecology Group
  • Login: PredictiveEcology
  • Kind: organization
  • Location: Victoria, BC, Canada

Ecological forecasting models and data

Citation (citation.bib)

@Manual{,
  title = {LandMine},
  author = {{Authors}},
  organization = {Organization},
  address = {Somewhere, Someplace},
  year = {2017},
  url = {},
}

GitHub Events

Total
  • Watch event: 1
  • Push event: 5
Last Year
  • Watch event: 1
  • Push event: 5

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 302
  • Total Committers: 3
  • Avg Commits per committer: 100.667
  • Development Distribution Score (DDS): 0.517
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Eliot McIntire e****e@g****m 146
Alex Chubaty a****y@g****m 145
Eliot McIntire e****i@m****a 11
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 3
  • Total pull requests: 2
  • Average time to close issues: 7 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 1.67
  • Average comments per pull request: 0.5
  • Merged pull requests: 2
  • 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
  • achubaty (3)
Pull Request Authors
  • achubaty (1)
  • eliotmcintire (1)
Top Labels
Issue Labels
Pull Request Labels