Geocomputation and Urban Planning

Sixteen years ago, Franklin estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Murgante, Beniamino. (Editor), Borruso, Giuseppe. (Editor), Lapucci, Alessandra. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series:Studies in Computational Intelligence, 176
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-89930-3
LEADER 04580nam a22005415i 4500
001 6689
003 DE-He213
005 20130725190719.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 # # |a 9783540899303  |9 978-3-540-89930-3 
024 7 # |a 10.1007/978-3-540-89930-3  |2 doi 
050 # 4 |a TA329-348 
050 # 4 |a TA640-643 
072 # 7 |a TBJ  |2 bicssc 
072 # 7 |a MAT003000  |2 bisacsh 
082 0 4 |a 519  |2 23 
100 1 # |a Murgante, Beniamino.  |e editor. 
245 1 0 |a Geocomputation and Urban Planning  |c edited by Beniamino Murgante, Giuseppe Borruso, Alessandra Lapucci.  |h [electronic resource] / 
264 # 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2009. 
300 # # |b online resource. 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
347 # # |a text file  |b PDF  |2 rda 
490 1 # |a Studies in Computational Intelligence,  |v 176  |x 1860-949X ; 
505 0 # |a Geocomputation and urban planning -- Detection of urban socio-economic patterns using clustering techniques -- A Tale of Two Cities. Density Analysis of CBD on Two Midsize Urban Areas in Northeastern Italy -- Identification of "Hot Spots" of Social and Housing Difficulty in Urban Areas: Scan Statistic for Housing Market and Urban Planning Policies -- The town at the end of the town: integration and segregation in suburbia -- Planning evacuation by means of a multi-modal mesoscopic dynamic traffic simulation model -- Improving Moran s Index to Identify Hot Spots in Traffic Safety -- Visual Impact Assessment in urban planning -- Urban Roughness Parameters Calculation in the City of Rome by Applying Analytical and Simplified Formulations: Comparison of Results -- An Object-Oriented Model for the Sustainable Management of Evolving Spatio-Temporal Information -- GIS and LIDAR data analysis for the integration of 3D indicators on urban morphogenesis multi-agent vector based geosimulation -- Urban pattern morphology time variation in southern Italy by using Landsat imagery -- Predicting the Urban Spread Using Spatio-Morphological Models -- A Multi-Agent Geosimulation Infrastructure for Planning -- A Participative Multi Agent System for Urban Sustainable Mobility. 
520 # # |a Sixteen years ago, Franklin estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a wide number of users to rely on them. This growth has not been fully coupled to an increase of knowledge to support spatial decisions. Spatial analytical techniques, geographical analysis and modelling methods are therefore required to analyse data and to facilitate the decision process at all levels. Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging researchers towards new solutions. This volume aims to contribute to the development of new techniques and methods to improve the process of knowledge acquisition. The Geocomputational expression is related to the development and the application of new theories, methods and tools in order to provide better solutions to complex geographical problems. The geocomputational analysis discussed in this volume, could be classified according to three main domains of applications; the first one related to spatial decision support system and to spatial uncertainty, the second connected to artificial intelligence, the third based on all spatial statistics techniques. 
650 # 0 |a Engineering. 
650 # 0 |a Mathematical geography. 
650 # 0 |a Artificial intelligence. 
650 # 0 |a Regional planning. 
650 # 0 |a Engineering mathematics. 
650 1 4 |a Engineering. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
650 2 4 |a Landscape/Regional and Urban Planning. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Computer Applications in Earth Sciences. 
700 1 # |a Borruso, Giuseppe.  |e editor. 
700 1 # |a Lapucci, Alessandra.  |e editor. 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540899297 
830 # 0 |a Studies in Computational Intelligence,  |v 176  |x 1860-949X ; 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-89930-3 
912 # # |a ZDB-2-ENG 
950 # # |a Engineering (Springer-11647)