Modelling evolution in a spatial continuum
We survey a class of models for spatially structured populations which we have called spatial Λ-Fleming-Viot processes. They arise from a flexible framework for modelling in which the key innovation is that random genetic drift is driven by a Poisson point process of spatial 'events'. We d...
| Главные авторы: | , , |
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| Формат: | Journal article |
| Язык: | English |
| Опубликовано: |
2013
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| _version_ | 1826276785276321792 |
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| author | Barton, N Etheridge, A Veber, A |
| author_facet | Barton, N Etheridge, A Veber, A |
| author_sort | Barton, N |
| collection | OXFORD |
| description | We survey a class of models for spatially structured populations which we have called spatial Λ-Fleming-Viot processes. They arise from a flexible framework for modelling in which the key innovation is that random genetic drift is driven by a Poisson point process of spatial 'events'. We demonstrate how this overcomes some of the obstructions to modelling populations which evolve in two-(and higher-) dimensional spatial continua, how its predictions match phenomena observed in data and how it fits with classical models. Finally we outline some directions for future research. © 2013 IOP Publishing Ltd. |
| first_indexed | 2024-03-06T23:19:04Z |
| format | Journal article |
| id | oxford-uuid:6820d6e9-32f7-4a7a-9695-5f8b6de5d2c9 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T23:19:04Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | oxford-uuid:6820d6e9-32f7-4a7a-9695-5f8b6de5d2c92022-03-26T18:42:48ZModelling evolution in a spatial continuumJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:6820d6e9-32f7-4a7a-9695-5f8b6de5d2c9EnglishSymplectic Elements at Oxford2013Barton, NEtheridge, AVeber, AWe survey a class of models for spatially structured populations which we have called spatial Λ-Fleming-Viot processes. They arise from a flexible framework for modelling in which the key innovation is that random genetic drift is driven by a Poisson point process of spatial 'events'. We demonstrate how this overcomes some of the obstructions to modelling populations which evolve in two-(and higher-) dimensional spatial continua, how its predictions match phenomena observed in data and how it fits with classical models. Finally we outline some directions for future research. © 2013 IOP Publishing Ltd. |
| spellingShingle | Barton, N Etheridge, A Veber, A Modelling evolution in a spatial continuum |
| title | Modelling evolution in a spatial continuum |
| title_full | Modelling evolution in a spatial continuum |
| title_fullStr | Modelling evolution in a spatial continuum |
| title_full_unstemmed | Modelling evolution in a spatial continuum |
| title_short | Modelling evolution in a spatial continuum |
| title_sort | modelling evolution in a spatial continuum |
| work_keys_str_mv | AT bartonn modellingevolutioninaspatialcontinuum AT etheridgea modellingevolutioninaspatialcontinuum AT vebera modellingevolutioninaspatialcontinuum |