Showing 1 - 10 of 17
Abstract The main aim of this paper is to provide a spatial modelling framework for income estimation through the application of a contemporary spatial analysis technique. The application refers to the modelling of mean recorded household income in the area covered by the postcodes of the...
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The aim of this paper is to define and test local versions of standard correlation coefficients in statistical analysis. This research is motivated by the increasing number of applications using local versions of exploratory and explanatory spatial data analysis methods. A common example of the...
Persistent link: https://www.econbiz.de/10012171778
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In this study we use geographic information systems (GIS) and computational intelligence for geomarketing analysis. GIS technology offers a powerful set of tools for the input, management, and output of data, whereas computational intelligence is used for the analysis and the clustering of...
Persistent link: https://www.econbiz.de/10011003156
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This paper presents a methodology for the creation of homogeneous demographic regions with geographical information systems (GIS) and computational intelligence. The proposed method is unsupervised fuzzy classification performed by neural networks using the fuzzy Kohonen algorithm. GIS...
Persistent link: https://www.econbiz.de/10005176048
The valuation of real estate is a central tenet for all businesses. Land and property are factors of production and, as with any other asset, the value of the land flows from the use to which it is put, and that in turn is dependent upon the demand (and supply) for the product that is produced....
Persistent link: https://www.econbiz.de/10014898052
The aim of this paper is to define and test local versions of standard correlation coefficients in statistical analysis. This research is motivated by the increasing number of applications using local versions of exploratory and explanatory spatial data analysis methods. A common example of the...
Persistent link: https://www.econbiz.de/10011332417