Salient Properties of Geographic Connectivity Underlying Spatial Autocorrelation

Daniel A. Griffith
Additional contact information
Daniel A. Griffith: Syracuse University

Chapter 2 in Spatial Autocorrelation and Spatial Filtering, 2003, pp 33-64 from Springer

Abstract: Abstract Features of spatial autocorrelation can be established with analytical, computational, and conceptual techniques. Analytical techniques rely upon algebra and geometry to obtain mathematical generalizations about spatial autocorrelation. Computational techniques rely upon computing power, algorithms, and statistical theory to obtain numerical outcomes, experimentally exploring the behavior of spatial autocorrelation in the absence of analytical equations. Tools commonly employed in experimental exercises include resampling and simulation. Conceptual techniques often involve logical arguments that sometimes derive expectations through analogies; many facets of spatial autocorrelation are paralleled with those of serial correlation (e.g., time series).

Keywords: Spatial Autocorrelation; Rectangular Region; Principal Eigenvalue; Areal Unit; Salient Property (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-540-24806-4_2

Ordering information: This item can be ordered from
http://www.springer.com/9783540248064

DOI: 10.1007/978-3-540-24806-4_2

Access Statistics for this chapter

More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().