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https://github.com/jsta/irlgraph

Irregular Landscape Graphs to generate accumulated cost surfaces
https://github.com/jsta/irlgraph

Last synced: about 2 months ago
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Irregular Landscape Graphs to generate accumulated cost surfaces

Host: GitHub
URL: https://github.com/jsta/irlgraph
Owner: jsta
Created: 2015-09-09T01:20:23.000Z (over 9 years ago)
Default Branch: master
Last Pushed: 2015-12-30T15:31:58.000Z (about 9 years ago)
Last Synced: 2024-06-11T17:08:36.001Z (8 months ago)
Language: R
Homepage:
Size: 1.39 MB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        irlgraph

======

The `R` package `irlgraph` provides the functionality to generate accumulated cost surfaces using irregular landscape graphs.

##Installation

  ```R

  install.packages('devtools')  # package devtools needed

  devtools::install_github('jsta/irlgraph')

  ```

  

##Summary

![](inst/doc/irl-construction.png)

**Figure 1: Construction of accumulated cost surfaces using irregular landscape graphs. Panels from left to right represent the process of: identifying graph nodes, Delaunay triangulation, generating partial accumulated cost surfaces, and interpolating to produce full accumulated cost surfaces.**

![](inst/doc/processing-speed.png)

**Figure 2: Comparison of `system.time` processing speed when using regular and irregular graphs to produce accumulated cost surfaces. The performance benefit of irregular graphs becomes apparent with greater numbers of starting nodes.**

![](inst/doc/figure-7.png)

**Figure 3: Directional bias tests of irregular and regular graph approaches to generating accumulate cost surfaces. The `gdistance::geoCorrection` function eliminates directional bias associated with regular graphs.**

##Examples

**see vignette**

##References

**Thomas Etherington (2012)**. Least-cost modelling on irregular landscape graphs.

*Landscape Ecology*

[journal](http://dx.doi.org/10.1007/s10980-012-9747-y)