|
|
|
|
CONTRIBUTORS:
|
|
|
PROCEEDINGS TITLE:
|
|
|
YEAR:
|
2004
|
|
PUB TYPE:
|
Conference Paper in Proceedings
|
|
PAGES:
|
n/a -
n/a
|
|
SUBJECT(S):
|
Cellular Automata, Urban Model, Shape Analysis
|
|
DISCIPLINE:
|
Architecture/Urban Planning
|
|
HTTP:
|
|
|
LANGUAGE:
|
English
|
|
PUB ID:
|
103-407-552
(Last edited on
2004/09/14 00:51:52 GMT-6)
|
|
SPONSOR(S):
|
|
|
ABSTRACT:
Shape analysis of city growth is an essential means to develop a comprehensive city plan and the key elements of shape analysis are shape descriptors. Recently, many cellular urban models have been developed including the special models for lowland cities. Shape descriptors are the indices used for output of such urban models. Shape descriptors play a very important role in model fitness, calibration, validation as well as interpretation of the model outcome. This paper proposes the usage of image features that are commonly used in the field of image processing and computer vision as urban shape descriptors.
The cellular urban descriptors can be classified into geometric and multi-scale features. The geometric urban descriptors related with the shape of the city or development cluster of the city can be computed based on connected component or boundary of the cluster. Multi-scale urban descriptors take into account the role of development index of each cell. Determination of each cellular urban descriptor is described using urban development terminology. Special urban model for lowland cities is clarified and relationships of urban descriptor are investigated
|
|
|
|
STATISTICS
|
|
Click on # to view
|
|
Citations
|
|
0
|
|
References
|
|
0
|
|
Comments
|
|
0
|
|
Quality
|
|
0/0.00
|
|
Interest
|
|
0/0.00
|
|
View(er)s
|
|
1/298
|
|
|
|
|
|
|
| Prev |
Next |
|
