Demographers often use maps and regional tabulations to evidence the spatial dimension
of population characteristics. While they display considerable ability to test the strength of …

Summary and Conclusions In this chapter, we have discussed the role of geographic space
in quantitative demography. A re-emerging interest in spatial demography is evidenced by …

Since about 1960, there has been a rapidly increasing technical literature on the concept of
spatial autocorrelation and its implications for statistical estimation in geography. Because …

This article reflects on the principal statistical methodological issues that quantitative
geographers addressed in the 1950s and 1960s. The source of many of these …

II. Definition of Notation III. Conceptual Meanings of Spatial Autocorrelation IV. Estimators of
Spatial Autocorrelation V. Theoretical Statistical Properties of Spatial Autocorrelation VI …

This article examines the relationship between spatial dependency and spatial
heterogeneity, two properties unique to spatial data. The property of spatial dependence has …

The objective of this research is to investigate dimensions of geographic variation in spatial
dependency contained within large multilevel data sets. We calculate 1990 population …

D emography is an inherently spatial science, since it almost always deals with human
populations in a defined geographic region, but spatial analysis has thus far played only a …

Traditional measures of segregation, such as the index of dissimilarity, have been criticized
as aspatial in nature. Spatial measures of segregation have been proposed, but they are …

Spatial autocorrelation is a concept that helps to define the field of spatial analysis. It is
central to studies using spatial statistics and spatial econometrics. In this paper, we trace the …