eprintid: 1472823
rev_number: 34
eprint_status: archive
userid: 608
dir: disk0/01/47/28/23
datestamp: 2017-06-02 14:50:46
lastmod: 2021-10-04 00:19:21
status_changed: 2017-06-02 14:50:46
type: proceedings_section
metadata_visibility: show
creators_name: Davis, A
creators_name: Hanna, S
creators_name: Aish, F
title: Characterising Place by Scene Depth
ispublished: pub
divisions: UCL
divisions: B04
divisions: C04
divisions: F36
keywords: Isovist, place, classification.
note: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Copyright © Space Syntax Laboratory, UCL, 2015.
abstract: Turner and Penn introduced the notion of integration of isovist fields as a means to understand such fields syntactically - as a set of components with a structural
relationship to a global whole (1999). This research was further refined to put forward the concept of visibility graph analysis (VGA) as a tool for architectural analysis (Turner, Doxa, O’sullivan, & Penn, 2001), which has become widely used. We suggest a complementary method of characterising place that does not make use of integration or a graph yet which allows - as visibility graph analysis does - discrete view points to be dimensioned in relation to a set of such viewpoints. In our method, Principal Component Analysis (PCA), a statistical technique, is employed to infer salient characteristics of a set of views and then to situate these component views within a low dimensional space in order to compare the extent to which each
view corresponds to these characteristics. We demonstrate the method by reference to two distinct urban areas with differing spatial characteristics. Because PCA
operates on vectors, order of the data has important implications. We consider some of these implications including view orientation and chirality (handedness) and
assess the variance of results with regard to these factors.
date: 2015-07-17
date_type: published
publisher: Space Syntax Laboratory, The Bartlett School of Architecture, University College London
official_url: http://www.sss10.bartlett.ucl.ac.uk/category/07-environmental-and-spatial-cognition/
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1086861
isbn_13: 9780993342905
lyricists_name: Hanna, Sean
lyricists_name: Karimi, Kayvan
lyricists_id: SPHAN24
lyricists_id: KKARI67
actors_name: Hanna, Sean
actors_id: SPHAN24
actors_role: owner
full_text_status: public
series: International Space Syntax Symposium
publication: Proceedings of the 10th International Space Syntax Symposium
volume: 10
place_of_pub: London, United Kingdom
pagerange: 120:1-120:15
pages: 15
event_title: The 10th International Space Syntax Symposium
event_location: University College London, London, UK
event_dates: 13 July 2015 - 17 July 2015
institution: The 10th International Space Syntax Symposium
book_title: Proceedings of the 10th Space Syntax Symposium (SSS10)
editors_name: Karimi, K
editors_name: Vaughan, L
editors_name: Sailer, K
editors_name: Palaiologou, G
editors_name: Bolton, T
citation:        Davis, A;    Hanna, S;    Aish, F;      (2015)    Characterising Place by Scene Depth.                     In: Karimi, K and Vaughan, L and Sailer, K and Palaiologou, G and Bolton, T, (eds.) Proceedings of the 10th Space Syntax Symposium (SSS10).  (pp. 120:1-120:15).  Space Syntax Laboratory, The Bartlett School of Architecture, University College London: London, United Kingdom.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1472823/1/Hanna_David_SSS10_Proceedings_120.pdf