This paper argues that there may be considerable advantages to including indicators within geodemographic systems that represent workplace-based characteristics and the commuting linkages between areas. Using the regional example of Yorkshire and Humberside in northern England, we indicate how a suite of workplace-based and residence-workplace linkage variables relating to the labour market can be assembled and used alongside a suite of residence-based (or demand) variables to generate a new area classification. Spatial interaction models are calibrated to derive some of the variables that take into account area self-containment and catchment size
A geodemographic classification provides a set of categorical summaries of the built and socio-econo...
This paper explores ongoing efforts to develop a framework for regularly updating geodemographic cla...
Geodemographics is a spatially explicit classification of socio-economic data, which can be used to ...
This paper argues that there may be considerable advantages to including indicators within geodemogr...
The traditional proprietary geodemographic information systems that are on the market today use well...
Despite the inclusion of some non-Census variables, the traditional proprietary geodemographic class...
Geodemographics conventionally refers to the classification of geographical areas based on the socio...
This paper introduces a novel approach to the analysis of travel to work flows by combining separate...
Geodemographic classifications are used to understand social phenomena. Within the private sector, f...
In recent years a mix of Open Data and commercial sources have been used to build geodemographic cla...
This paper uses the techniques of exploratory spatial data analysis to analyse patterns of spatial a...
Geodemographic classifications group small area geography into categories based on shared population...
This paper aims to contribute to the area of geodemographic research through the development of a ne...
International audienceThis paper uses the techniques of exploratory spatial data analysis to analyse...
The consideration of housing and labour market interaction is a relatively recent development in an ...
A geodemographic classification provides a set of categorical summaries of the built and socio-econo...
This paper explores ongoing efforts to develop a framework for regularly updating geodemographic cla...
Geodemographics is a spatially explicit classification of socio-economic data, which can be used to ...
This paper argues that there may be considerable advantages to including indicators within geodemogr...
The traditional proprietary geodemographic information systems that are on the market today use well...
Despite the inclusion of some non-Census variables, the traditional proprietary geodemographic class...
Geodemographics conventionally refers to the classification of geographical areas based on the socio...
This paper introduces a novel approach to the analysis of travel to work flows by combining separate...
Geodemographic classifications are used to understand social phenomena. Within the private sector, f...
In recent years a mix of Open Data and commercial sources have been used to build geodemographic cla...
This paper uses the techniques of exploratory spatial data analysis to analyse patterns of spatial a...
Geodemographic classifications group small area geography into categories based on shared population...
This paper aims to contribute to the area of geodemographic research through the development of a ne...
International audienceThis paper uses the techniques of exploratory spatial data analysis to analyse...
The consideration of housing and labour market interaction is a relatively recent development in an ...
A geodemographic classification provides a set of categorical summaries of the built and socio-econo...
This paper explores ongoing efforts to develop a framework for regularly updating geodemographic cla...
Geodemographics is a spatially explicit classification of socio-economic data, which can be used to ...