学术报告

信电号角系列学术报告:地理空间分层异质性统计(Statistics for Spatial Stratified Heterogeneity)

发布日期:2018-01-09 浏览次数:

报告人:王劲峰,研究员,中国科学院地理科学与资源研究所/资源与环境信息系国家重点实验室
时间:2018年1月9日(周二)14:00-16:00
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讲座简介:
Spatial stratified heterogeneity (SSH), referring to the within-strata variance less than the between strata-variance, is ubiquitous in the nature, such as ecological zones and many geographical variables. SSH may imply distinct mechanisms or parameters by strata, and suggests possible determinants of the observed process. Therefore, it should be tested at the early stage of data analysis, especially in large area studies. The q-statistic was proposed to measure the degree of SSH and to test its significance. The q value is within [0,1]: 0 if SSH is not significant, and 1 if there is a perfect SSH. The exact probability density function is derived. Besides to measure SSH, the q-statistic can be used to measure the association between two variables by measuring the consistence of the spatial distributions of the two variables, under the assumption that the spatial distributions of two variables X and Y tend to be consistent if X causes Y. The association might be either linear or nonlinear. By overlaying two explanatory variables X1 and X2 then calculating its q value to Y, the q-statistic can be used to explore the interaction between X1 and X2 to Y. The new statistic are illustrated by its applications in the diverse disciplines from geoscience, socioeconomics, soil pollution, and population health.

The software for the Statistics of SSH:www.geodetector.org

报告人简介:

王劲峰,1965出生,研究员,博士导师,中国科学院地理科学与资源研究所/资源与环境信息系统国家重点实验室。中国科学院大学时空统计学首席教授,国际地理联合会系统建模委员会执委,中国GIS协会理论方法委员会主任(2004-2011),多部地理信息与空间分析国际著名学术期刊编委。研究领域是空间分层异质性统计,及其在环境社会和医学健康领域应用。主持制定了《空间抽样与统计推断》国家标准;出版中、英文专著16部,SCI/SSCI论文150余篇。

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