|
|
|
|
LEADER |
02659nmm a2200421 u 4500 |
001 |
EB000381106 |
003 |
EBX01000000000000000234158 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
130626 ||| eng |
020 |
|
|
|a 9783540878292
|
100 |
1 |
|
|a Blanchard, Philippe
|
245 |
0 |
0 |
|a Mathematical Analysis of Urban Spatial Networks
|h Elektronische Ressource
|c by Philippe Blanchard, Dimitri Volchenkov
|
250 |
|
|
|a 1st ed. 2009
|
260 |
|
|
|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2009, 2009
|
300 |
|
|
|a XIV, 184 p. 123 illus., 16 illus. in color
|b online resource
|
505 |
0 |
|
|a Complex Networks of Urban Environments -- Wayfinding and Affine Representations of Urban Environments -- Exploring Community Structure by Diffusion Processes -- Spectral Analysis of Directed Graphs and Interacting Networks -- Urban Area Networks and Beyond
|
653 |
|
|
|a Applied mathematics
|
653 |
|
|
|a Cities, Countries, Regions
|
653 |
|
|
|a Engineering mathematics
|
653 |
|
|
|a Statistical Physics and Dynamical Systems
|
653 |
|
|
|a Statistical physics
|
653 |
|
|
|a Landscape/Regional and Urban Planning
|
653 |
|
|
|a Regional planning
|
653 |
|
|
|a Applications of Mathematics
|
653 |
|
|
|a Human geography
|
653 |
|
|
|a Architecture
|
653 |
|
|
|a Complex Systems
|
653 |
|
|
|a Urban planning
|
653 |
|
|
|a Human Geography
|
653 |
|
|
|a Dynamical systems
|
700 |
1 |
|
|a Volchenkov, Dimitri
|e [author]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a Understanding Complex Systems
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-540-87829-2?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 621
|
520 |
|
|
|a Cities can be considered to be among the largest and most complex artificial networks created by human beings. Due to the numerous and diverse human-driven activities, urban network topology and dynamics can differ quite substantially from that of natural networks and so call for an alternative method of analysis. The intent of the present monograph is to lay down the theoretical foundations for studying the topology of compact urban patterns, using methods from spectral graph theory and statistical physics. These methods are demonstrated as tools to investigate the structure of a number of real cities with widely differing properties: medieval German cities, the webs of city canals in Amsterdam and Venice, and a modern urban structure such as found in Manhattan. Last but not least, the book concludes by providing a brief overview of possible applications that will eventually lead to a useful body of knowledge for architects, urban planners and civil engineers
|