By Daniel A. Griffith
This quantity compiles geostatistical and spatial autoregressive info analyses related to georeferenced socioeconomic, average assets, agricultural, pollutants, and epidemiological variables. Benchmark analyses are by way of analyses of available info units, emphasizing parallels among geostatistical and spatial autoregressive findings. either SAS and SPSS code are provided for implementation reasons. This informative casebook will serve geographers, local scientists, utilized spatial statisticians, and spatial scientists from throughout disciplines.
Read or Download A Casebook for Spatial Statistical Data Analysis: A Compilation of Analyses of Different Thematic Data Sets PDF
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Extra resources for A Casebook for Spatial Statistical Data Analysis: A Compilation of Analyses of Different Thematic Data Sets
The studentized residuals identify spatial outliers as described by Anselin (1995, 107). z.. 1 r? o tn -0,1 (I . l -? •' C> — o •c . 4. 10). 10). 5. Top; (a) Contour map of MQ values for DSGR. Bottom: (b) Three-dimensional plot of MCj values for DSGR. 34 A Casebook for Spatial Statistical Data Analysis variable DFRM areal units with absolute Barranquitas (#10), Comerio San Sebastian Bayamon/Catano DCD DMLK Dorado DSGR Lares (#11), San Juan/Rio (#23), Gurabo Juncos (#38), (#36), Cabo Ro-io (#12) , Guaynabo Piedras (#29), (#28), (#65), Hormigueros (#30), Toa Baja Maricao (#66) (#44), (#31) , Lajas (#37) , (#60) (#10)f Cidra DBN Barranquitas (#10), Javuva (#38), (#38), (#68) Barranquitas Lares 2 (#61) (#39), DTB DFAM Lares Hatillo Toa Alta San German Maricao (#21), ^ (#63) Las Marias Utuado DCF standardized residuals (#44), Maricao (#19), (#34), Orocovis Comerio Lares (#21) (#38), (#51) (#44) Although not complete, some agreement (designated by double underlined areal units) occurs between these LISA results and the results obtained with standard regression diagnostics.
Cressie (1991) and Haining (1990) should be consulted for detailed descriptions and individual ideal plots of each model. One semivariogram model that shows considerable data analytic promise but that has not been extensively employed by practitioners is the modified Bessel function (motivated by Whittle 1954). Preliminary investigation by Griffith and Csillag (1993) and later by Griffith et al. (1996) found it to be an important geostatistical model that provides a link to the SAR model of spatial auto- regression.
Li) Introduction where 35 is the distance separating location coordinate pairs for selected points i and j, h is the distance class (or lagged distance), N(h) is the number of pairings within each distance class, and and yj are the attribute values respectively corresponding to the selected locations i and j. 11) arises because, for a stationary and isotropic process, EKyj-yj)2] = E[(yrn) - (yj-ii)]2 = EKyi-ii)2] - 2xE[(yrti)(yrn)] + E[(yr m)2] = of - 2o8 + o2 = 2o2(l - % oz = 2o2 - 20^^o 2o2(1 = - pj .
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