A Space-Time Survival Point Process for a Longleaf Pine Forest in Southern Georgia
作者:
StephenL. Rathbun,
Noel Cressie,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1994)
卷期:
Volume 89,
issue 428
页码: 1164-1174
ISSN:0162-1459
年代: 1994
DOI:10.1080/01621459.1994.10476856
出版商: Taylor & Francis Group
关键词: Birth process;Competitive interactions;Cox process;Growth process;Space-time autologistic regression;Space-time logistic regression;Survival process
数据来源: Taylor
摘要:
A marked spatial point pattern of trees and their diameters is the result of a dynamic biological process that takes place over time as well as space. Such patterns can be modeled as realizations of marked space-time survival point processes, where trees are born at some random location and time and then live, grow, and produce offspring in a random fashion. A model for a marked space-time survival point process is fit to data from a longleaf pine (Pinus palustris) forest in southern Georgia. The space-time survival point process is divided into three components: a birth process, a growth process, and a survival process. Each of the component processes is analyzed individually, from which conclusions regarding the dynamic ecological processes can be made. By using this reductionist approach, questions concerning each individual process can be addressed that might not have been answerable otherwise.
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