点(几何)
计算机科学
集合(抽象数据类型)
空(SQL)
点过程
数据挖掘
比例(比率)
相关性(法律)
分类
无效假设
点模式分析
事件(粒子物理)
情报检索
统计
地理
数学
地图学
共同空间格局
物理
量子力学
程序设计语言
法学
政治学
几何学
标识
DOI:10.1002/9781118786352.wbieg0849
摘要
Point pattern analysis is a set of methods for the detection of patterns in maps that contain a set of locations. Typically, these locations are points where some sort of event has occurred – the location of a car crash, a crime, a seed germinating. Point pattern analysis is used to determine the presence or absence of structure in a map of locations. Point pattern analysis is a statistical enterprise involving formal statistical tests of null hypotheses. Inferences about structure in point patterns are dependent upon both the scale of the analysis and the assumptions (or model) used to generate the null hypothesis. Point pattern analysis is gaining contemporary relevance as mobile devices, information technologies, and global positioning systems facilitate the large‐scale collection of geolocated information.
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