hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Spatial heterogeneity, scale, data character and sustainable transport in the big data era
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Land management, GIS.ORCID iD: 0000-0002-2337-2486
2018 (English)In: ISPRS International Journal of Geo-Information, ISSN 2220-9964, Vol. 7, no 5 (SI), article id 167Article in journal, Editorial material (Refereed) Published
Abstract [en]

I have advocated and argued for a paradigm shift from Tobler’s law to scaling law, from Euclidean geometry to fractal geometry, from Gaussian statistics to Paretian statistics, and – more importantly – from Descartes’ mechanistic thinking to Alexander’s organic thinking. Fractal geometry falls under the third definition of fractal given by Bin Jiang – that is, a set or pattern is fractal if the scaling of far more small things than large ones recurs multiple times – rather than under the second definition of fractal by Benoit Mandelbrot, which requires a power law between scales and details. The new fractal geometry is more towards Christopher Alexander’s living geometry, not only for understanding complexity, but also for creating complex or living structure. This short paper attempts to clarify why the paradigm shift is essential and to elaborate on several concepts, including spatial heterogeneity (scaling law), scale (or the fourth meaning of scale), data character (in contrast to data quality), and sustainable transport in the big data era.

Place, publisher, year, edition, pages
MDPI AG , 2018. Vol. 7, no 5 (SI), article id 167
Keywords [en]
Scaling law, Living structure, Data character
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:hig:diva-26791DOI: 10.3390/ijgi7050167ISI: 000435194700007Scopus ID: 2-s2.0-85047143960OAI: oai:DiVA.org:hig-26791DiVA, id: diva2:1213656
Available from: 2018-06-05 Created: 2018-06-05 Last updated: 2019-10-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Jiang, Bin

Search in DiVA

By author/editor
Jiang, Bin
By organisation
Land management, GIS
In the same journal
ISPRS International Journal of Geo-Information
Other Engineering and Technologies

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 22 hits
CiteExportLink to record
Permanent link

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