Detecting negative spatial autocorrelation in georeferenced random variables

Daniel A. Griffith; Giuseppe Arbia

doi:10.1080/13658810902832591

Detecting negative spatial autocorrelation in georeferenced random variables

Daniel A. Griffith, Giuseppe Arbia

University of Texas at Dallas

Research output: Contribution to journal › Article › peer-review

44 Citations (Scopus)

Abstract

abs

Original language	English
Pages (from-to)	417-437
Number of pages	21
Journal	International Journal of Geographical Information Science
Volume	24
DOIs	https://doi.org/10.1080/13658810902832591
Publication status	Published - 2010

Keywords

spatial econometrics

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10.1080/13658810902832591

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title = "Detecting negative spatial autocorrelation in georeferenced random variables",

abstract = "abs",

keywords = "spatial econometrics, spatial econometrics",

author = "Griffith, \{Daniel A.\} and Giuseppe Arbia",

year = "2010",

doi = "10.1080/13658810902832591",

language = "English",

volume = "24",

pages = "417--437",

journal = "International Journal of Geographical Information Science",

issn = "1365-8816",

publisher = "Taylor and Francis Ltd.",

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T1 - Detecting negative spatial autocorrelation in georeferenced random variables

AU - Griffith, Daniel A.

AU - Arbia, Giuseppe

PY - 2010

Y1 - 2010

N2 - abs

AB - abs

KW - spatial econometrics

UR - http://hdl.handle.net/10807/31656

U2 - 10.1080/13658810902832591

DO - 10.1080/13658810902832591

M3 - Article

SN - 1365-8816

VL - 24

SP - 417

EP - 437

JO - International Journal of Geographical Information Science

JF - International Journal of Geographical Information Science

ER -

Detecting negative spatial autocorrelation in georeferenced random variables

Abstract

Keywords

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