توضیحات
INTRODUCTION
Geodemographic analysis has been described as “the analysis of spatially referenced geodemographic and lifestyle data” (See and Openshaw, 2001, p.269) It is widely used in the public and private sectors for the planning and provision of products and services.Geodemographic analysis often uses clustering techniques which are used to classify the geodemographic data into groups, making the data more manageable for analysis purposes.Clustering identifies a number of geodemographic groups (clusters), each group having a particular geodemographic profile. Each geographical area under consideration is then assigned to a group based on its similarity to the group profile.
Fuzzy Clustering with Neighbourhood effects
Openshaw (1998, p104) pointed out that “geodemographics is simple minded, in that it assumes
that residential area type 27 is the same and behaves in the same way wherever it happens to be
located”. He then asked “But what happens if Type 27 areas respond differently depending on
their map location?”
In order to overcome this shortcoming, and to incorporate geographical effects into geodemographic analysis, Feng and Flowerdew (1998) proposed an extension to the fuzzy clustering technique, which provides for the ex post facto adjustment of the cluster membership values based on “neighbourhood effects”. The neighbourhood effects incorporate geography into the model. The neighbourhood effects formula adjusts the cluster membership as shown in equation 1.
Year: 2006
Publisher: www.geocomputation.org
By: G. A. Mason,R. D. Jacobson
File information: English Language / 7 Page / Size :520 Kb
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سال: 2006
ناشر: www.geocomputation.org
کاری از: G. A. Mason,R. D. Jacobson
اطلاعات فایل: زبان انگلیسی/ 7 صفحه/ حجم 520 کیلوبایت
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