Rogerson P A
Department of Geography, State University of New York at Buffalo 14261, USA.
Stat Med. 1997 Sep 30;16(18):2081-93. doi: 10.1002/(sici)1097-0258(19970930)16:18<2081::aid-sim638>3.0.co;2-w.
Statistical methods concerned with the identification of temporal patterns may be classified into those that examine retrospectively a set of observations, and those that constitute surveillance systems that monitor changes as new observations become available. A similar distinction applies to the identification of geographical patterns in spatial data. There has been a notable lack of attention given to the surveillance of spatial pattern. This paper concerns development of a cumulative sum statistic and procedure for the monitoring of spatial pattern, and its application to both simulated data and to data on Burkitt's lymphoma in Uganda.
一类是对一组观测值进行回顾性分析的方法，另一类是构建监测系统，随着新观测值的获取来监测变化的方法。类似的区分也适用于空间数据中地理模式的识别。目前对空间模式监测的关注明显不足。本文涉及一种用于监测空间模式的累积和统计量及程序的开发，及其在模拟数据和乌干达伯基特淋巴瘤数据中的应用。
