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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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