Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
How do neighbouring populations affect local population change over time?
Dalarna University, School of Technology and Business Studies, Statistics.
Dalarna University, School of Technology and Business Studies, Human Geography.ORCID iD: 0000-0003-4871-833X
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0002-1057-5401
2013 (English)Report (Other academic)
Abstract [en]

This study covers a period when society changed from a pre-industrial agricultural society to a post-industrial service-producing society. Parallel with this social transformation, major population changes took place. In this study, we analyse how local population changes are affected by neighbouring populations. To do so we use the last 200 years of local population change that redistributed population in Sweden. We use literature to identify several different processes and spatial dependencies in the redistribution between a parish and its surrounding parishes. The analysis is based on a unique unchanged historical parish division, and we use an index of local spatial correlation to describe different kinds of spatial dependencies that have influenced the redistribution of the population. To control inherent time dependencies, we introduce a non-separable spatial temporal correlation model into the analysis of population redistribution. Hereby, several different spatial dependencies can be observed simultaneously over time. The main conclusions are that while local population changes have been highly dependent on the neighbouring populations in the 19th century, this spatial dependence have become insignificant already when two parishes is separated by 5 kilometres in the late 20th century. Another conclusion is that the time dependency in the population change is higher when the population redistribution is weak, as it currently is and as it was during the 19th century until the start of industrial revolution.

Place, publisher, year, edition, pages
Borlänge: Högskolan Dalarna , 2013. , 31 p.
Series
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 07
Keyword [en]
population redistribution, spatial dependency, Moran’s I, non-separable time space correlation model, Sweden
National Category
Social and Economic Geography Probability Theory and Statistics
Research subject
Komplexa system - mikrodataanalys, General Microdata Analysis - others; Komplexa system - mikrodataanalys, General Microdata Analysis - methods
Identifiers
URN: urn:nbn:se:du-13013OAI: oai:DiVA.org:du-13013DiVA: diva2:651256
Available from: 2013-09-25 Created: 2013-09-25 Last updated: 2015-07-01Bibliographically approved

Open Access in DiVA

fulltext(1034 kB)132 downloads
File information
File name FULLTEXT02.pdfFile size 1034 kBChecksum SHA-512
896f57ea38e7e869f84c980e26e5449c0cd67e575e576befbf3a2aa2f40265298eec018d676b39f7c865b0c68656e41d61c9951d61b30addc5ac64ffc2b93d52
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Han, MengjieHåkansson, JohanRönnegård, Lars
By organisation
StatisticsHuman Geography
Social and Economic GeographyProbability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 132 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 745 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf