Published July 23, 2019
| Version v1.0.0
Software
Open
apear9/riskmapr: The riskmapr Shiny apps (indexed through Zenodo)
Authors/Creators
- 1. CSIRO
- 2. ARC Centre of Excellence for Mathematical and Statistical Frontiers
- 3. School of Earth, Environmental and Biological Sciences, QUT
Description
This is the first release of the riskmapr Shiny apps that has been issued a DOI via Zenodo. This GitHub repository contains the source code for the suite of riskmapr Shiny apps that implement Bayesian network models to produce spatial risk maps for invasive weeds. The repository also contains the data required to reproduce the case studies and sensitivity analyses outlined in the associated publication: Froese, Pearse & Hamilton (In Press).
Files
apear9/riskmapr-v1.0.0.zip
Files
(14.9 MB)
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md5:0ae86a577cd38eb5e8481ee362f1b50a
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Additional details
Related works
- Is supplement to
- https://github.com/apear9/riskmapr/tree/v1.0.0 (URL)