Geocomputation and urban planning
著者
書誌事項
Geocomputation and urban planning
(Studies in computational intelligence, vol. 176)
Springer, c2009
大学図書館所蔵 全3件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
内容説明・目次
内容説明
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.
目次
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 Statistics 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 Multidimensional 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.
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