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Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation

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  • Gema Fernández-Avilés Calderón

Abstract

Due to the rapid development of Geographic Information Systems (GIS) in recent years, spatial data analysis has received considerable attention and played an important role in social science. Although many standard statistical techniques are attractive in traditional data analysis, they cannot be implemented uncritically for spatial data. Generally, most of the studies in spatial data analysis can be divided into two branches: the model-driven approach and the data-driven approach. The main aim of this paper is the comparison of both approaches. To carry out such a task, crime rate data in Columbus (Ohio), coming from a well-known database, have been used. The main aim of this paper is to illustrate how spatial effects can be viewed as spatial econometric models, which assess the limitations of standard techniques in a spatial context, suggesting alternative methods to deal with this problem. An application to the crime rate in Columbus (Ohio) has been carried out. Copyright International Atlantic Economic Society 2009

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  • Gema Fernández-Avilés Calderón, 2009. "Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(1), pages 44-58, February.
    • Handle: RePEc:kap:iaecre:v:15:y:2009:i:1:p:44-58:10.1007/s11294-008-9189-0
    DOI: 10.1007/s11294-008-9189-0
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    References listed on IDEAS

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    Cited by:

    1. Mohamed Amara & Mohamed Ayadi, 2011. "Local Employment Growth in the Coastal Area of Tunisia: A Dynamic Spatial Panel Approach," Working Papers 650, Economic Research Forum, revised 12 Jan 2011.

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    More about this item

    Keywords

    Weight matrix; Spatial correlation; Spatial econometrics; Econometric models; Autocorrelation; Kriging estimator; C10; C21; C40; E00;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • E00 - Macroeconomics and Monetary Economics - - General - - - General

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