{"author":[{"orcid":"0000-0002-8548-5240","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas H","last_name":"Barton","full_name":"Barton, Nicholas H"},{"first_name":"Alison","last_name":"Etheridge","full_name":"Etheridge, Alison"},{"full_name":"Véber, Amandine","last_name":"Véber","first_name":"Amandine"}],"month":"01","citation":{"short":"N.H. Barton, A. Etheridge, A. Véber, Journal of Statistical Mechanics Theory and Experiment 2013 (2013).","ieee":"N. H. Barton, A. Etheridge, and A. Véber, “Modelling evolution in a spatial continuum,” Journal of Statistical Mechanics Theory and Experiment, vol. 2013, no. 1. IOP Publishing Ltd., 2013.","ista":"Barton NH, Etheridge A, Véber A. 2013. Modelling evolution in a spatial continuum. Journal of Statistical Mechanics Theory and Experiment. 2013(1).","apa":"Barton, N. H., Etheridge, A., & Véber, A. (2013). Modelling evolution in a spatial continuum. Journal of Statistical Mechanics Theory and Experiment. IOP Publishing Ltd. https://doi.org/10.1088/1742-5468/2013/01/P01002","mla":"Barton, Nicholas H., et al. “Modelling Evolution in a Spatial Continuum.” Journal of Statistical Mechanics Theory and Experiment, vol. 2013, no. 1, IOP Publishing Ltd., 2013, doi:10.1088/1742-5468/2013/01/P01002.","chicago":"Barton, Nicholas H, Alison Etheridge, and Amandine Véber. “Modelling Evolution in a Spatial Continuum.” Journal of Statistical Mechanics Theory and Experiment. IOP Publishing Ltd., 2013. https://doi.org/10.1088/1742-5468/2013/01/P01002.","ama":"Barton NH, Etheridge A, Véber A. Modelling evolution in a spatial continuum. Journal of Statistical Mechanics Theory and Experiment. 2013;2013(1). doi:10.1088/1742-5468/2013/01/P01002"},"project":[{"name":"Limits to selection in biology and in evolutionary computation","grant_number":"250152","call_identifier":"FP7","_id":"25B07788-B435-11E9-9278-68D0E5697425"}],"title":"Modelling evolution in a spatial continuum","date_published":"2013-01-16T00:00:00Z","date_created":"2018-12-11T12:00:17Z","file_date_updated":"2020-07-14T12:45:52Z","scopus_import":1,"pubrep_id":"557","department":[{"_id":"NiBa"}],"issue":"1","type":"journal_article","ddc":["570"],"article_processing_charge":"No","status":"public","_id":"2909","file":[{"date_updated":"2020-07-14T12:45:52Z","file_size":702583,"relation":"main_file","date_created":"2018-12-12T10:16:52Z","file_id":"5242","file_name":"IST-2016-557-v1+1_BEVrevised.pdf","access_level":"open_access","checksum":"ce8a4424385b3086138a1e054e16e0e3","content_type":"application/pdf","creator":"system"}],"volume":2013,"publication_status":"published","quality_controlled":"1","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publisher":"IOP Publishing Ltd.","abstract":[{"text":"We survey a class of models for spatially structured populations\r\nwhich we have called spatial Λ-Fleming–Viot processes. They arise from a flexible\r\nframework for modelling in which the key innovation is that random genetic drift\r\nis driven by a Poisson point process of spatial ‘events’. We demonstrate how this\r\novercomes some of the obstructions to modelling populations which evolve in two-\r\n(and higher-) dimensional spatial continua, how its predictions match phenomena\r\nobserved in data and how it fits with classical models. Finally we outline some\r\ndirections for future research.","lang":"eng"}],"oa":1,"has_accepted_license":"1","oa_version":"Submitted Version","doi":"10.1088/1742-5468/2013/01/P01002","publication":"Journal of Statistical Mechanics Theory and Experiment","ec_funded":1,"day":"16","date_updated":"2021-01-12T07:00:37Z","language":[{"iso":"eng"}],"year":"2013","intvolume":" 2013","publist_id":"3834"}