Hidden negative spatial autocorrelation |
| |
Authors: | Daniel A Griffith |
| |
Institution: | (1) Ashbel Smith Professor, School of Economic, Political and Policy Sciences, University of Texas at Dallas, P.O. Box 830688, Richardson, TX 75083-0688, USA |
| |
Abstract: | 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. |
| |
Keywords: | Eigenvector Hidden negative spatial autocorrelation Negative spatial autocorrelation Spatial autoregressive model Spatial filter model |
本文献已被 SpringerLink 等数据库收录! |
|