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Journal article

Speeding up the simulation of population spread models

Abstract:

1. Simulating spatially explicit population models to predict population spread allows environmental managers to make better-informed decisions. Accurate simulation requires high spatial resolution, which, using existing techniques, can require prohibitively large amounts of computational resources (RAM, CPU etc).

2. We developed and implemented a novel algorithm for the simulation of integro-difference equations (IDEs) modelling population spread, including stage-structure, whi...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/2041-210X.12684

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More from this funder
Name:
Natural Environment Research Council
Funding agency for:
Gilbert, M
White, S
Grant:
Doctoral Training Grant (NE/J500045/1
National Capability HARM project (NEC05100
Publisher:
British Ecological Society
Journal:
Methods in Ecology and Evolution More from this journal
Volume:
8
Issue:
4
Pages:
501–510
Publication date:
2017-01-01
Acceptance date:
2016-08-12
DOI:
EISSN:
2041-210X
Keywords:
Pubs id:
pubs:642673
UUID:
uuid:217dafec-e868-4fd9-becf-56f540b04da9
Local pid:
pubs:642673
Source identifiers:
642673
Deposit date:
2016-09-13

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