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dc.contributor.authorStewart, J
dc.date.accessioned2020-08-21T08:52:39Z
dc.date.issued2020-08-11
dc.format.Ren_GB
dc.identifier.doi10.24378/exe.2603
dc.identifier.urihttp://hdl.handle.net/10871/122590
dc.language.isoenen_GB
dc.publisherUniversity of Exeteren_GB
dc.relation.urlhttp://hdl.handle.net/10871/122614en_GB
dc.rights.embargoreasonTo provide sufficient time to publish peer-reviewed publications based on this code.en_GB
dc.rightsCC BY-NC 4.0en_GB
dc.titleAppendix 5. R code for fitting phenomenological models in Chapter 5 of PhD thesis "Linking phenology to population dynamics and distribution change in a changing climate"en_GB
dc.typeDataseten_GB
dc.date.available2020-08-21T08:52:39Z
dc.descriptionAppendix 5 is a .R file that contains the R code (R Core Team, 2017) required to fit the phenomenological models shown in Chapter 5. This code has been altered from that presented in Dennis et al. (2016) to allow spatial variation alongside year-to-year variation in rho (productivity) for both uni- and bi-voltine species. All alterations are marked in-line in the script with explanatory notes, using the notation "### Start addition" and "### End addition" to highlight where code has been added. Literature Cited Dennis, E. B., Morgan, B. J. T., Freeman, S. N., Roy, D. B. and Brereton, T. (2016). Dynamic models for longitudinal butterfly data. Journal of Agricultural, Biological, and Environmental Statistics, 21(1): 1–21. R Core Team (2017). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available at: https://www.R-project.org/.en_GB
dc.descriptionThe thesis associated with this dataset is located in ORE at: http://hdl.handle.net/10871/122614en_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0en_GB
rioxxterms.versionNAen_GB
rioxxterms.licenseref.startdate2022-08-10
rioxxterms.typeOtheren_GB


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