A Multiscale Model of Morphological Complexity in Cities: Characterising Emergent Homogeneity and Heterogeneity

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Resumé

Approaches from complex systems science can support design decision-making by extracting important information about key dependencies from large, unstructured data sources. This paper presents an initial case study applying such approaches to city structure, by characterising low-level features and aggregate properties of artifact morphology in urban areas. First, shape analysis is used to describe microscale artifact clusters, analysed in aggregate to characterise macroscale homogeneity and heterogeneity. The characterisation is used to analyse real-world example cities, from both historic maps and present-day crowdsourced data, testing against two performance evaluation criteria. Next, the characterisation is used to generate simple artificial morphologies, suggesting directions for future development. Finally, results and extensions are discussed, including real-world applications for decision support.
OriginalsprogEngelsk
TitelShoCK! - Sharing Computational Knowledge! : Proceedings of the 35th eCAADe Conference
Vol/bind2
ForlageCAADe (Education and Research in Computer Aided Architectural Design in Europe) and ITU / YTU
Publikationsdatosep. 2017
Sider561-570
ISBN (Trykt)9789491207136
StatusUdgivet - sep. 2017
BegivenhedShoCK! - Sharing Computational Knowledge!: 35th eCAADe Conference - eCAADe – Educational and research in Computer Aided Architectural Design in Europe, Rome, Italien
Varighed: 20 sep. 201722 sep. 2017
http://w3.dicea.uniroma1.it/eCAADe2017/

Konference

KonferenceShoCK! - Sharing Computational Knowledge!
LokationeCAADe – Educational and research in Computer Aided Architectural Design in Europe
LandItalien
ByRome
Periode20/09/201722/09/2017
Internetadresse

Kunstnerisk udviklingsvirksomhed (KUV)

  • Nej

Citer dette

Heinrich, M. K., Ayres, P., & Bar-Yam, Y. (2017). A Multiscale Model of Morphological Complexity in Cities: Characterising Emergent Homogeneity and Heterogeneity. I ShoCK! - Sharing Computational Knowledge!: Proceedings of the 35th eCAADe Conference (Bind 2, s. 561-570). eCAADe (Education and Research in Computer Aided Architectural Design in Europe) and ITU / YTU.
Heinrich, Mary Katherine ; Ayres, Phil ; Bar-Yam, Yaneer. / A Multiscale Model of Morphological Complexity in Cities : Characterising Emergent Homogeneity and Heterogeneity. ShoCK! - Sharing Computational Knowledge!: Proceedings of the 35th eCAADe Conference. Bind 2 eCAADe (Education and Research in Computer Aided Architectural Design in Europe) and ITU / YTU, 2017. s. 561-570
@inproceedings{ddc79c4fde8441b6b796f48e6fa08feb,
title = "A Multiscale Model of Morphological Complexity in Cities: Characterising Emergent Homogeneity and Heterogeneity",
abstract = "Approaches from complex systems science can support design decision-making by extracting important information about key dependencies from large, unstructured data sources. This paper presents an initial case study applying such approaches to city structure, by characterising low-level features and aggregate properties of artifact morphology in urban areas. First, shape analysis is used to describe microscale artifact clusters, analysed in aggregate to characterise macroscale homogeneity and heterogeneity. The characterisation is used to analyse real-world example cities, from both historic maps and present-day crowdsourced data, testing against two performance evaluation criteria. Next, the characterisation is used to generate simple artificial morphologies, suggesting directions for future development. Finally, results and extensions are discussed, including real-world applications for decision support.",
author = "Heinrich, {Mary Katherine} and Phil Ayres and Yaneer Bar-Yam",
year = "2017",
month = "9",
language = "English",
isbn = "9789491207136",
volume = "2",
pages = "561--570",
booktitle = "ShoCK! - Sharing Computational Knowledge!",
publisher = "eCAADe (Education and Research in Computer Aided Architectural Design in Europe) and ITU / YTU",

}

Heinrich, MK, Ayres, P & Bar-Yam, Y 2017, A Multiscale Model of Morphological Complexity in Cities: Characterising Emergent Homogeneity and Heterogeneity. i ShoCK! - Sharing Computational Knowledge!: Proceedings of the 35th eCAADe Conference. bind 2, eCAADe (Education and Research in Computer Aided Architectural Design in Europe) and ITU / YTU, s. 561-570, ShoCK! - Sharing Computational Knowledge!, Rome, Italien, 20/09/2017.

A Multiscale Model of Morphological Complexity in Cities : Characterising Emergent Homogeneity and Heterogeneity. / Heinrich, Mary Katherine; Ayres, Phil; Bar-Yam, Yaneer.

ShoCK! - Sharing Computational Knowledge!: Proceedings of the 35th eCAADe Conference. Bind 2 eCAADe (Education and Research in Computer Aided Architectural Design in Europe) and ITU / YTU, 2017. s. 561-570.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - A Multiscale Model of Morphological Complexity in Cities

T2 - Characterising Emergent Homogeneity and Heterogeneity

AU - Heinrich, Mary Katherine

AU - Ayres, Phil

AU - Bar-Yam, Yaneer

PY - 2017/9

Y1 - 2017/9

N2 - Approaches from complex systems science can support design decision-making by extracting important information about key dependencies from large, unstructured data sources. This paper presents an initial case study applying such approaches to city structure, by characterising low-level features and aggregate properties of artifact morphology in urban areas. First, shape analysis is used to describe microscale artifact clusters, analysed in aggregate to characterise macroscale homogeneity and heterogeneity. The characterisation is used to analyse real-world example cities, from both historic maps and present-day crowdsourced data, testing against two performance evaluation criteria. Next, the characterisation is used to generate simple artificial morphologies, suggesting directions for future development. Finally, results and extensions are discussed, including real-world applications for decision support.

AB - Approaches from complex systems science can support design decision-making by extracting important information about key dependencies from large, unstructured data sources. This paper presents an initial case study applying such approaches to city structure, by characterising low-level features and aggregate properties of artifact morphology in urban areas. First, shape analysis is used to describe microscale artifact clusters, analysed in aggregate to characterise macroscale homogeneity and heterogeneity. The characterisation is used to analyse real-world example cities, from both historic maps and present-day crowdsourced data, testing against two performance evaluation criteria. Next, the characterisation is used to generate simple artificial morphologies, suggesting directions for future development. Finally, results and extensions are discussed, including real-world applications for decision support.

UR - https://www.researchgate.net/publication/320036141_A_Multiscale_Model_of_Morphological_Complexity_in_Cities_--_Characterising_Emergent_Homogeneity_and_Heterogeneity

M3 - Article in proceedings

SN - 9789491207136

VL - 2

SP - 561

EP - 570

BT - ShoCK! - Sharing Computational Knowledge!

PB - eCAADe (Education and Research in Computer Aided Architectural Design in Europe) and ITU / YTU

ER -

Heinrich MK, Ayres P, Bar-Yam Y. A Multiscale Model of Morphological Complexity in Cities: Characterising Emergent Homogeneity and Heterogeneity. I ShoCK! - Sharing Computational Knowledge!: Proceedings of the 35th eCAADe Conference. Bind 2. eCAADe (Education and Research in Computer Aided Architectural Design in Europe) and ITU / YTU. 2017. s. 561-570