User menu

Accès à distance ? S'identifier sur le proxy UCLouvain

Network autocorrelation

Primary tabs

Peeters, Dominique [UCL] Thomas, Isabelle [UCL]

Even though Cliff and Ord (1969) do not question "network autocorrelation," their paper contains an interesting ambiguity that is here discussed. Hence, this article aims at discussing the problem of spatial autocorrelation in (perhaps preferably on) a network as well as at giving an overview of the existing relevant literature. A typology of network autocorrelations is suggested and it is hoped that this discussion initiates debates and points to new research challenges.

Document type Article de périodique (Journal article)
Access type Accès interdit
Publication date 2009
Language Anglais
Journal information "Geographical Analysis" - Vol. 41, no. 4, p. 436-443 (Octobre 2009)
Peer reviewed yes
Publisher Ohio State University Press (Columbus)
issn 0016-7363
Publication status Publié
Affiliations UCL - EUEN/CORE - Center for operations research and econometrics
UCL - EUEN/CORE - Center for operations research and econometrics
Links
  1. Anselin, Spatial Econometrics: Methods and Models (1988)
  2. Anselin, Geographical Analysis, 27, 93 (1995)
  3. Anselin, New Directions in Spatial Econometrics, 21 (1995)
  4. Bailey, Interactive Spatial Data Analysis (1995)
  5. Bavaud, Geographical Analysis, 30, 153 (1998)
  6. BAVAUD FRANÇOIS, The Endogenous Analysis of Flows, with Applications to Migrations, Social Mobility and Opinion Shifts, 10.1080/00222500802352493
  7. Beguin, Geographical Analysis, 11, 325 (1979)
  8. BESAG J. E., On the correlation structure of some two-dimensional stationary processes, 10.1093/biomet/59.1.43
  9. Black, Geographical Analysis, 24, 207 (1992)
  10. Black William R., Thomas Isabelle, Accidents on belgium's motorways: a network autocorrelation analysis, 10.1016/s0966-6923(97)00037-9
  11. Bodson P, Peeters D, Estimation of the Coefficients of a Linear Regression in the Presence of Spatial Autocorrelation. An Application to a Belgian Labour-Demand Function, 10.1068/a070455
  12. Chun Yongwan, Modeling network autocorrelation within migration flows by eigenvector spatial filtering, 10.1007/s10109-008-0068-2
  13. Cliff, London Papers in Regional Science, 25 (1969)
  14. Cliff, Spatial Autocorrelation (1973)
  15. de Smith, Geospatial Analysis-A Comprehensive Guide (2009)
  16. Doreian, Spatial Statistics: Past, Present, and Future, 369 (1990)
  17. Dow, Cross-cultural Research, 41, 336 (2009)
  18. Farber Steven, Páez Antonio, Volz Erik, Topology and Dependency Tests in Spatial and Network Autoregressive Models : Topology and Dependency Tests, 10.1111/j.1538-4632.2009.00751.x
  19. Fischer Manfred M., Griffith Daniel A., MODELING SPATIAL AUTOCORRELATION IN SPATIAL INTERACTION DATA: AN APPLICATION TO PATENT CITATION DATA IN THE EUROPEAN UNION*, 10.1111/j.1467-9787.2008.00572.x
  20. Flahaut Benoı̂t, Mouchart Michel, Martin Ernesto San, Thomas Isabelle, The local spatial autocorrelation and the kernel method for identifying black zones, 10.1016/s0001-4575(02)00107-0
  21. Fotheringham, Spatial Interaction Models: Formulations and Applications (1989)
  22. Gaetan, Modélisation et statistiques spatiales (2008)
  23. Geary R. C., The Contiguity Ratio and Statistical Mapping, 10.2307/2986645
  24. Getis Arthur, Aldstadt Jared, Constructing the Spatial Weights Matrix Using a Local Statistic, 10.1111/j.1538-4632.2004.tb01127.x
  25. Goodchild, Spatial Autocorrelation. CATMOG No. 47 (1986)
  26. Griffith, L'Espace Géographique, 21, 265 (1992)
  27. Griffith, Spatial Regression Analysis on the PC: Spatial Statistics Using SAS (1993)
  28. GRIFFITH DANIEL A., SPATIAL AUTOCORRELATION and EIGENFUNCTIONS OF THE GEOGRAPHIC WEIGHTS MATRIX ACCOMPANYING GEO-REFERENCED DATA, 10.1111/j.1541-0064.1996.tb00462.x
  29. Griffith, The Review of Regional Studies, 37, 28 (2007)
  30. Gross, Topological Graph Theory (2001)
  31. Kelejian Harry H., Robinson Dennis P., A suggested test for spatial autocorrelation and/or heteroskedasticity and corresponding Monte Carlo results, 10.1016/s0166-0462(98)00007-6
  32. Kooijman, Annals of Systems Research, 5, 113 (1976)
  33. Leenders Roger Th.A.J., Modeling social influence through network autocorrelation: constructing the weight matrix, 10.1016/s0378-8733(01)00049-1
  34. Matheron, Traité de géostatistique appliquée (1962)
  35. MORAN P. A. P., NOTES ON CONTINUOUS STOCHASTIC PHENOMENA, 10.1093/biomet/37.1-2.17
  36. Okabe Atsuyuki, Okunuki Kei-ichi, Shiode Shino, SANET: A Toolbox for Spatial Analysis on a Network, 10.1111/j.0016-7363.2005.00674.x
  37. Schabenberger, Statistical Methods for Spatial Data Analysis (2005)
  38. Sen, Gravity Models of Spatial Interaction Behavior (1995)
  39. Upton, Spatial Data Analysis by Example. Volume 1: Point Pattern and Quantitative Data (1985)
  40. WHITTLE P., ON STATIONARY PROCESSES IN THE PLANE, 10.1093/biomet/41.3-4.434
  41. Yamada Ikuho, Thill Jean-Claude, Comparison of planar and network K-functions in traffic accident analysis, 10.1016/j.jtrangeo.2003.10.006
  42. Bivand , R. E. Pebesma V. Gomez-Rubio 2008 Applied Spatial Data Analysis with R .
Bibliographic reference Peeters, Dominique ; Thomas, Isabelle. Network autocorrelation. In: Geographical Analysis, Vol. 41, no. 4, p. 436-443 (Octobre 2009)
Permanent URL http://hdl.handle.net/2078.1/28748