Comparative spatial filtering in regression analysis

Geographical Analysis

Volumn 34, Issue 2, 2002, Pages 130-140

  Getis, Arthur ^a   Griffith, Daniel A ^b  

^a SAN DIEGO STATE UNIVERSITY   (United States)

^b SYRACUSE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; FILTER; REGRESSION ANALYSIS; SPATIAL ANALYSIS;

EID: 0036261283     PISSN: 00167363     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1538-4632.2002.tb01080.x     Document Type: Article

References (24)

1. On extreme values of Moran's I and Geary's c
2. Screening for spatial dependence in regression analysis
3. Spatial filtering in a regression framework: Experiments on regional inequality, government expenditures, and urban crime
4. The analysis of spatial association by use of distance statistics
5. On the geographical interpretation of eigenvalues
6. Spatial autocorrelation and eigenfunctions of the geographic weights matrix accompanying geo-referenced data
7. A linear regression solution to the spatial autocorrelation problem
8. Eigenfunction properties and approximations of selected incidence matrices employed in spatial analyses
9. A tale of two swaths: Urban childhood blood lead levels across Syracuse, NY
10. The use of added variable plots in regression modelling with spatial data
11. Bivariate correlation and spatial data
12. Spatial analysis of the distribution of tsetse flies in the Lambwe Valley, Kenya, using landsat TM satellite imagery and GIS
13. Testing for local autocorrelation in the presence of global autocorrelation
14. Least squares theory using an estimated dispersion matrix and its application to measurement of signals
15. Modeling spatial patterns
16. The exact distribution of Moran's I