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