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 statistical links between phenomena, they rarely attempt to use similar tools to investigate the nature and extent of spatial correlation between demographic variables. This paper examines this question by combining theoretical and practical issues in the measurement of spatial autocorrelation, using recent Indian demographic variables. After a brief summary of the basic tools commonly used to examine geographical differentials, the paper includes a review of recent spatial exploratory and geostatistical tools. The second part of the paper is devoted to the appl...
Spatial autocorrelation is an assessment of the correlation between two random variables which descr...
The variability and geographical patterns of population characteristics are key topics in Human Geog...
International audienceIn India, quality of census data is good enough to allow geographic approach a...
Demographers often use maps and regional tabulations to evidence the spatial dimension of population...
Demographers often use maps and regional tabulations to evidence the spatial dimension of population...
This paper presents a study that aimed to explore a range of techniques for analysing the spatial re...
AbstractThis paper presents a study which explored a range of techniques for analysing the spatial r...
Spatial statistical analyses are often used to study the link between environmental factors and the ...
To date a clear, simple, and concise definition of spatial autocorrelation has eluded the literature...
Spatial autocorrelation may be defined as the relationship among values of a single variable that co...
This paper examines regional heterogeneity both from statistical and cartographic perspectives, usi...
With increases in the availability of geo‐referenced data, there has been a push for developing bett...
International audienceThe use by geographers of local indicators of spatial autocorrelation has spre...
Although there are claims that inequality in India has stagnated or even increased in the post-liber...
Distinguishing the analysis of spatial data from classical analysis is only meaningful if the spati...
Spatial autocorrelation is an assessment of the correlation between two random variables which descr...
The variability and geographical patterns of population characteristics are key topics in Human Geog...
International audienceIn India, quality of census data is good enough to allow geographic approach a...
Demographers often use maps and regional tabulations to evidence the spatial dimension of population...
Demographers often use maps and regional tabulations to evidence the spatial dimension of population...
This paper presents a study that aimed to explore a range of techniques for analysing the spatial re...
AbstractThis paper presents a study which explored a range of techniques for analysing the spatial r...
Spatial statistical analyses are often used to study the link between environmental factors and the ...
To date a clear, simple, and concise definition of spatial autocorrelation has eluded the literature...
Spatial autocorrelation may be defined as the relationship among values of a single variable that co...
This paper examines regional heterogeneity both from statistical and cartographic perspectives, usi...
With increases in the availability of geo‐referenced data, there has been a push for developing bett...
International audienceThe use by geographers of local indicators of spatial autocorrelation has spre...
Although there are claims that inequality in India has stagnated or even increased in the post-liber...
Distinguishing the analysis of spatial data from classical analysis is only meaningful if the spati...
Spatial autocorrelation is an assessment of the correlation between two random variables which descr...
The variability and geographical patterns of population characteristics are key topics in Human Geog...
International audienceIn India, quality of census data is good enough to allow geographic approach a...