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Log-Linear Models with Dependent Spatial Data

Bibliographic Data

ID4139288
AuthorsB Fingleton (Department of Humanities, Cambridgeshire College of Arts and Technology, Cambridge, England, corresponding author)
Year1983
Volume15
Issue6
Pages801-813
Publication date1983-06-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a150801
OpenAlexW2010688542
LanguageEN
Citations received6
References cited23

Log-linear models are an appropriate means of determining the magnitude and direction of interactions between categorical variables that in common with other statistical models assume independent observations. Spatial data are often dependent rather than independent and thus the analysis of spatial data by log-linear models may erroneously detect interactions between variables that are spurious and are the consequence of pairwise correlations between observations. A procedure is described in this paper to accommodate these effects that requires only very minimal assumptions about the nature of the autocorrelation process given systematic sampling at intersection points on a square lattice

Autocorrelation · Categorical variable · Geography · Linear model · Log-linear model · Pairwise comparison · Spatial analysis · Spurious relationship · Statistics · Geochemistry and Geologic Mapping · Mathematics · Soil Geostatistics and Mapping · Spatial and Panel Data Analysis

  • Categorical Data with Inherent Spatial Dependence

    Bernard Fingleton•Transactions of the Institute of…•1988

  • Quantitative methods

    Open Access•Neil Wrigley•Progress in Human Geography•1983

  • Developments in Explanatory Discrete Spatial Data and Choice Analysis

    Open Access•Manfréd M Fischer, Peter Nijkamp•Progress in Human Geography•1985

  • Statistical Inference in Comparative Research

    Open Access•Malcolm M Dow•Behavior Science Research•1991

  • Log-Linear Modelling and Spatial Analysis

    Open Access•Elisabeth Aufhauser, Manfréd M Fischer•Environment and Planning A…•1985

  • Independence, Stationarity, Categorical Spatial Data and the Chi-Squared Test

    Open Access•Bernard Fingleton•Environment and Planning A…•1983

  • The Analysis of Categorical Data from Complex Sample Surveys

    J N K Rao, A J Scott•Journal of the American…•1981

  • Analysing univariate maps

    Open Access•Robert Haining, R P Haining•Progress in Human Geography•1981

  • Estimating Linear Models with Spatially Distributed Data

    P Doreian•Sociological Methodology•1981

  • Log-linear models, screening and regional industrial surveys

    Graham J G Upton, Graham Upton•Regional Studies•1981

  • Log-Linear Models in Geography

    G J G Upton, Graham Upton et al.•Transactions of the Institute of…•1979

  • A Test for Spatial Autocorrelation in Choropleth Maps Based upon a Modified X 2 Statistic

    A D Cliff, R L Martin et al.•Transactions of the Institute of…•1975

  • Quantitative Géography, 1967

    Open Access•Leslie Curry•Canadian Geographies /…•1967

  • Spatial Interdependencies in Population Distributions

    Open Access•Robert Haining, R P Haining•Environment and Planning A…•1981

  • Spatial Interdependencies in Population Distributions

    Open Access•Robert Haining, R P Haining•Environment and Planning A…•1981

  • Log-Linear Modelling of Geographical Contingency Tables

    Open Access•Bernard Fingleton•Environment and Planning A…•1981

  • Independence, Stationarity, Categorical Spatial Data and the Chi-Squared Test

    Open Access•Bernard Fingleton•Environment and Planning A…•1983

  • Linear Models with Spatially Distributed Data

    Open Access•P Doreian•Sociological Methods & Research•1980

Citations per year0.14
Citation span1983 - 1991 (9)
Highly citedNo

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