Remarks on the Spatial Distribution of a Reproducing Population
J. Kingman. Journal of Applied Probability, 14 (3):
pp. 577-583(1977)
Abstract
Several authors have noted that simple models for the evolution of a reproducing and spatially distributed population have no limiting distribution, although a Poisson process in statistical equilibrium has sometimes been implicitly assumed. It is shown that, even when a mechanism for restricting population density is postulated, a Poisson process is usually impossible to achieve, essentially because of an assumption of independent displacements. When this assumption is abandoned, a Poisson process is possible, at least for some highly idealised models.
%0 Journal Article
%1 kingman1977remarks
%A Kingman, J. F. C.
%D 1977
%I Applied Probability Trust
%J Journal of Applied Probability
%K Poisson_process density_dependence point_processes spatial_branching spatial_coalescent
%N 3
%P pp. 577-583
%T Remarks on the Spatial Distribution of a Reproducing Population
%U http://www.jstor.org/stable/3213460
%V 14
%X Several authors have noted that simple models for the evolution of a reproducing and spatially distributed population have no limiting distribution, although a Poisson process in statistical equilibrium has sometimes been implicitly assumed. It is shown that, even when a mechanism for restricting population density is postulated, a Poisson process is usually impossible to achieve, essentially because of an assumption of independent displacements. When this assumption is abandoned, a Poisson process is possible, at least for some highly idealised models.
@article{kingman1977remarks,
abstract = {Several authors have noted that simple models for the evolution of a reproducing and spatially distributed population have no limiting distribution, although a Poisson process in statistical equilibrium has sometimes been implicitly assumed. It is shown that, even when a mechanism for restricting population density is postulated, a Poisson process is usually impossible to achieve, essentially because of an assumption of independent displacements. When this assumption is abandoned, a Poisson process is possible, at least for some highly idealised models.},
added-at = {2015-08-04T03:00:30.000+0200},
author = {Kingman, J. F. C.},
biburl = {https://www.bibsonomy.org/bibtex/2f8e902d998ab5ef25dfde156f379b67f/peter.ralph},
interhash = {81b4109bc87f516a27f7bd794523dde9},
intrahash = {f8e902d998ab5ef25dfde156f379b67f},
issn = {00219002},
journal = {Journal of Applied Probability},
keywords = {Poisson_process density_dependence point_processes spatial_branching spatial_coalescent},
language = {English},
number = 3,
pages = {pp. 577-583},
publisher = {Applied Probability Trust},
timestamp = {2015-08-04T03:00:30.000+0200},
title = {Remarks on the Spatial Distribution of a Reproducing Population},
url = {http://www.jstor.org/stable/3213460},
volume = 14,
year = 1977
}