Data for: A new ranking of the world's largest cities - Do administrative units obscure morphological realities?

Published: 2 Aug 2019 | Version 1 | DOI: 10.17632/v3p8gk5724.1
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Description of this data

The Shape-File „Morphological_Urban_Area.shp” contains the final delimitation of city extents based on the methodology described in section 3.2. The analysis was done for all cities on our planet with more than 300,000 inhabitants, i.e. a total of 1,692 cities were included in this study. However, as many urban regions across the globe have experienced a coalescence of multiple, once morphologically separate cities, the data sets in the Shape-File is reduced to 1569 MUA extents. This is due to the following approach: if MUAs from two (or more) neighboring cities overlap, we combine the MUAs from both (or more) cities into one.

Experiment data files

This data is associated with the following publication:

A new ranking of the world's largest cities—Do administrative units obscure morphological realities?

Published in: Remote Sensing of Environment

Latest version

  • Version 1

    2019-08-02

    Published: 2019-08-02

    DOI: 10.17632/v3p8gk5724.1

    Cite this dataset

    Taubenböck, Hannes (2019), “Data for: A new ranking of the world's largest cities - Do administrative units obscure morphological realities?”, Mendeley Data, v1 http://dx.doi.org/10.17632/v3p8gk5724.1

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Categories

Geography, Remote Sensing, Urbanization

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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