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Use of Constraints in the Hierarchical Aggregation Procedure Intramax Cover

Use of Constraints in the Hierarchical Aggregation Procedure Intramax

By: Samo Drobne and  Mitja Lakner  
Open Access
|Oct 2016

Abstract

Background: Intramax is a hierarchical aggregation procedure for dealing with the multi-level specification problem and with the association issue of data set reduction, but it was used as a functional regionalization procedure many times in the past.

Objectives: In this paper, we analyse the simultaneous use of three different constraints in the original Intramax procedure, i.e. the contiguity constraint, the higher-inner-flows constraint, and the lower-variation-of-inner-flows constraint.

Methods/Approach: The inclusion of constraints in the Intramax procedure was analysed by a programme code developed in Mathematica 10.3 by the processing time, by intra-regional shares of total flows, by self-containment indexes, by numbers of singleton and isolated regions, by the number of aggregation steps where a combination of constraints was applied, by the number of searching steps until the combination of constraints was satisfied, and by surveying the results geographically.

Results: The use of the contiguity constraint is important only at the beginning of the aggregation procedure; the higher-inner-flows constraint gives singleton regions, and the lower-variation constraint forces the biggest employment centre as an isolated region up to a relatively high level of aggregation.

Conclusions: The original Intramax procedure (without the inclusion of any constraint) gives the most balanced and operative hierarchical sets of functional regions without any singletons or isolated regions.

DOI: https://doi.org/10.1515/bsrj-2016-0009 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 5 - 22
Submitted on: Feb 12, 2016
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Accepted on: Jul 10, 2016
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Published on: Oct 17, 2016
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2016 Samo Drobne, Mitja Lakner, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.