A Comparative Study on Spatial Lattice Data Analysis - A Case Where Outlier Exists - Kim, Su-Jung; Choi, Seung-Bae; Kang, Chang-Wan; Cho, Jang-Sik;
Recently, researchers of the various fields where the spatial analysis is needed have more interested in spatial statistics. In case of data with spatial correlation, methodologies accounting for the correlation are required and there have been developments in methods for spatial data analysis. Lattice data among spatial data is analyzed with following three procedures: (1) definition of the spatial neighborhood, (2) definition of spatial weight, and (3) the analysis using spatial models. The present paper shows a spatial statistical analysis method superior to a general statistical method in aspect estimation by using the trimmed mean squared error statistic, when we analysis the spatial lattice data that outliers are included. To show validation and usefulness of contents in this paper, we perform a small simulation study and show an empirical example with a criminal data in BusanJin-Gu, Korea.
Spatial neighborhood;spatial neighborhood weight;spatial autocorrelation;trimed mean squared error;
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