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Tätortsklassificering utifrån servicebredd och servicegrad: En klusteranalys av Sveriges tätorter
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics.
2014 (Swedish)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Statistics Sweden is an administrative agency that delimits built-up areas and produces statistics regarding them. The statistics provide information about the area of the built-up areas, their population number, number of gainfully employees working in the built-up areas, and of buildings. Now Statistics Sweden wishes to extend such statistics by producing a measure regarding how well developed the service is in each built-up area.

This study is a contribution to this statistical improvement work and the purpose is to – by employing geographical information systems and cluster analysis – classify the Swedish built-up areas according to 1) service width and 2) service degree. A particular built-up area has a high service width if it has many different service functions, such as pharmacies, schools and grocery stores. It has a high service degree if it has many service functions per 1000 inhabitants.

The result consists of two different “urban hierarchies”, one in which one can identify the level of service width of each built-up area and one in which one can position each built-up area according to its service degree. This study shows that built-up areas with a high service width also have manyinhabitants. In contrast, this is not the case for built-up areas with a high service degree: built-up areas with high service degree have relatively few inhabitants. The study shows that built-up areas with high service degree have a higher quota number of people employed in the locality / number of residents, which indicates that these built-up areas are “commuting localities” – built-up areas where people work but not necessarily live. The results from the two separate modes of classification also show that the service width and service degree do not display a positive correlation. Built-up areas with high service degree are thus not the same built-up areas that those scoring high onservice width; if anything, the relationship is rather the opposite.

Place, publisher, year, edition, pages
2014. , 58 p.
UPTEC STS, ISSN 1650-8319 ; 14021
Keyword [en]
classification, cluster analysis, GIS, settlement hierarchy
Keyword [sv]
klassificering, klusteranalys, GIS, tätortshierarki
National Category
Probability Theory and Statistics
URN: urn:nbn:se:uu:diva-227169OAI: oai:DiVA.org:uu-227169DiVA: diva2:728778
External cooperation
Statistiska centralbyrån
Educational program
Systems in Technology and Society Programme
2014-06-13, Å64119, Ångströmslaboratoriet, Uppsala, 09:15 (Swedish)
Available from: 2014-08-29 Created: 2014-06-24 Last updated: 2014-08-29Bibliographically approved

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