Hidden negative spatial autocorrelation

被引:0
作者
Daniel A. Griffith
机构
[1] University of Texas at Dallas,Ashbel Smith Professor, School of Economic, Political and Policy Sciences
来源
Journal of Geographical Systems | 2006年 / 8卷
关键词
Eigenvector; Hidden negative spatial autocorrelation; Negative spatial autocorrelation; Spatial autoregressive model; Spatial filter model; C21; R23;
D O I
暂无
中图分类号
学科分类号
摘要
Mostly lip service treatments of negative spatial autocorrelation (NSA) appear in the literature, although spatial scientists confront it in practice. NSA was detected serendipitously in recalcitrant empirical analyses containing a sizeable amount of global positive spatial autocorrelation (PSA) unaccounted for by standard spatial statistical models, and labeled hidden because conventional spatial statistical tools detected only PSA while giving absolutely not hint of NSA existing. The meaning of this phenomenon is explored empirically, with findings including: a better understanding of NSA, spatial filter model construction guidelines, effective illustrations of NSA, and how hidden NSA furnishes a diagnostic for model misspecification.
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页码:335 / 355
页数:20
相关论文
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