SimUrb – software for identifying similar municipalities by comparing Urban indices using a graph algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F19%3A73597857" target="_blank" >RIV/61989592:15310/19:73597857 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007%2Fs12145-019-00399-8" target="_blank" >https://link.springer.com/article/10.1007%2Fs12145-019-00399-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12145-019-00399-8" target="_blank" >10.1007/s12145-019-00399-8</a>
Alternative languages
Result language
angličtina
Original language name
SimUrb – software for identifying similar municipalities by comparing Urban indices using a graph algorithm
Original language description
The paper describes the SimUrb tool, which was used to calculate the similarity between municipalities (or other territorial units) according to several characteristics (attributes). The SimUrb tool allows similar groups between ordered sequences to be found. The tool was designed to work with hundreds of records. In order to find similar groups, the tool employs graph theory, in which similar groups are represented as cliques on a simple graph. The Bron-Kerbosch algorithm was used to search for them. The degree of similarity was determined from a metric based on the Euclidean distance between strings. Finding all non-trivial cliques would have been difficult or impossible for such data to be feasible in this study. Therefore, the SimUrb tool was used to find similar groups as the largest disjoint cliques in the respective graph. A case study is introduced in the second part of the paper to illustrate SimUrb’s functionality. The results of standard grouping methods (two methods offered by ArcGIS software) and groups defined under official planning documents were compared to the results from the SimUrb software. We concluded that SimUrb can be used in many applications where the user needs to define groups of objects with the same degree of similarity.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50702 - Urban studies (planning and development)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Earth Science Informatics
ISSN
1865-0473
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
4
Country of publishing house
DE - GERMANY
Number of pages
16
Pages from-to
"699–714"
UT code for WoS article
000498764300020
EID of the result in the Scopus database
2-s2.0-85070198453