Code and data supplement for "Bias Correction in Species Distribution Models: Pooling Survey and Collection Data for Multiple Species"
In this supplement we include the data and R code necessary to reproduce our model fit for the eucalypt data from the paper, in two steps: First, constructData.R, which converts raw data into the processed data frames contained in allData.RData. Second, modeling.R, which loads allData.RData and fits the model that we fit in our article.
There is a "lightweight version," biasCorrectionNoGrids.zip, which does not include the raw environmental grid data required to execute constructData.R, but does include allData.RData and modeling.R, so modeling.R can still be executed. See the readme file for more details.
The data provided in this archive are described in Online Appendix C of Fithian et al. (2014). The presence-only species data are sourced from Atlas of Living Australia and Atlas of NSW Wildlife, Office of Environment and Heritage (OEH), both publicly available. The presence-absence data were downloaded from the Flora Survey Module of the Atlas of NSW Wildlife, Office of Environment and Heritage (OEH), and we thank them for permission to archive the data here. Any further use of these data should cite Fithian et al. (2014) and acknowledge the data sources.
|Type of resource
|Stanford Statistics Department
|Fithian, William and Elith, Jane and Hastie, Trevor and Keith, David. (2014). "Bias Correction in Species Distribution Models: Pooling Survey and Collection Data for Multiple Species." Methods in Ecology and Evolution. 6:424-438. http://dx.doi.org/10.1111/2041-210X.12242
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- Preferred Citation
- Fithian, William and Elith, Jane and Hastie, Trevor and Keith, David. (2014). Code and data supplement for "Bias Correction in Species Distribution Models: Pooling Survey and Collection Data for Multiple Species". Stanford Digital Repository. Available at: http://purl.stanford.edu/vt558xk1600
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