样方
空间分析
点(几何)
点过程
采样(信号处理)
共同空间格局
空间生态学
人口
随机建模
计算机科学
地理
数学
统计
地图学
生态学
计算机视觉
社会学
几何学
生物
滤波器(信号处理)
人口学
灌木
出处
期刊:Journal of the royal statistical society series b-methodological
[Wiley]
日期:1977-01-01
卷期号:39 (2): 172-192
被引量:695
标识
DOI:10.1111/j.2517-6161.1977.tb01615.x
摘要
S ummary Spatial point processes may be analysed at two levels. Quadrat and distance methods were designed for the sampling of a population in the field. In this paper we consider those situations in which a map of a spatial pattern has been produced at some cost and we wish to extract the maximum possible information. We review the stochastic models which have been proposed for spatial point patterns and discuss methods by which the fit of such a model can be tested. Certain models are shown to be the equilibrium distributions of spatial–temporal stochastic processes. The theory is illustrated by several case studies.
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