Quantification analysis of 3D urban form based on GIS: a case study of downtown Nanjing

Shanshan Ge; Guoan Tang; Xin Yang

doi:10.1117/12.812654

3 November 2008 Quantification analysis of 3D urban form based on GIS: a case study of downtown Nanjing

Shanshan Ge, Guoan Tang, Xin Yang

Proceedings Volume 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments; 71433C (2008) https://doi.org/10.1117/12.812654
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

An approach to describe 3D urban form is proposed in this study. Central part of Nanjing is taken as study site.Firstly, quantitative attributes are proposed from urban geometry and its function, and they are compactness, elevation range, volume expansibility, diversity, dominance. Then, all the attributes are derived and spatial distributions are analyzed to reveal relationship between attributes and some geographical features. The result shows that the above five attributes closely correlate with land use; especially compactness, diversity and dominance reflect the feature of building configuration. Finally, a multi-spectrum image is produced by the optimal combination of attributes to classify urban form. The result shows that different blocks of different land use can be distinguished. This research reveals the spatial distribution of urban form properties and their relationships between some geographical features. This quantification analysis of #d urban form is a new way to study urban form from three-dimensional aspect.

Citation Download Citation

Shanshan Ge, Guoan Tang, and Xin Yang "Quantification analysis of 3D urban form based on GIS: a case study of downtown Nanjing", Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71433C (3 November 2008); https://doi.org/10.1117/12.812654

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available