Skip to main content
Journal Article

Spatial and temporal autocorrelation in innovation diffusion analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2003) 2669 23-32
DOI: 10.1007/3-540-44842-x_3
4Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The paper discusses the effects of spatial, temporal, and joint spatio-temporal autocorrelation. The purpose of the study of spatio-temporal autocorrelation is to optimize the efficiency of dynamic regression estimates, in a spatio-temporal univariate regression model. After calculating and examining the effects of global indicators of spatial and temporal autocorrelation, a new spatio-temporal global autocorrelation index is proposed. The index can be view as a preliminary proposal for a dynamic version of Moran's I. © Springer-Verlag 2003.

Cite

CITATION STYLE

APA

Bertazzon, S. (2003). Spatial and temporal autocorrelation in innovation diffusion analysis. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2669, 23–32. https://doi.org/10.1007/3-540-44842-x_3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free