Description
The main result of this thesis is the method to automatically recognize urban patterns capturing their similarity and dissimilarity that are described in a typology of urban tissues (Ch 7) and a taxonomy based on urban tissue types (Ch 8). It does so by implementing concepts of morphometrics and numerical taxonomy used in biology.The work includes demonstration of state of the art and traditional research techniques and the application of these in order to fully test the hypothesis, initial research questions and a number of supplementary questions arising from the outcomes at each stage. This has been undertaken using using several relevant statistical and mapping techniques, all of which are fully documented.
| Period | 21 Jan 2021 |
|---|---|
| Examinee | Martin Fleischmann |
| Examination held at | |
| Degree of Recognition | International |
Keywords
- urban morphometrics
- urban design
- numerical taxonomy
- statistical mapping
Documents & Links
Related content
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Research output
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EO + morphometrics: understanding cities through urban morphology at large scale
Research output: Contribution to journal › Article › peer-review
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momepy: Urban morphology measuring toolkit
Research output: Contribution to journal › Article › peer-review
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Student theses
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The urban atlas, methodological foundation of a morphometric taxonomy of urban form
Student thesis: Doctoral Thesis
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Activities
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IBPSA International Building Performance Simulation Association (External organisation)
Activity: Membership › Membership of network