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Interdisciplinary Approaches to Spatial Optimization Issues

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Title: Interdisciplinary Approaches to Spatial Optimization Issues
Description: As metropolises continue to see a growth in population, planners are continually searching for trending methods for utilizing space and seeking the best geographical arrangements for these cities. Professionals have continually used geographic information systems (GIS) to solve these issues; however, limitations in this technology remain prevalent. Integrating multiple-criteria decision analysis and evolutionary computing tools with GIS has created an array of robust solutions for spatial optimization problems in densely populated areas. Interdisciplinary Approaches to Spatial Optimization Issues is a pivotal reference source that provides vital research on advancements within the field of GIS and evolutionary solutions for spatial optimization issues. While highlighting topics such as computing machinery, vehicular routing, and operational research, this publication is ideally designed for practitioners, technicians, developers, academicians, students, government officials, planners, and researchers seeking current research on applications and improvements within spatial optimization and GIS.
Authors: Sami Faiz, Soumaya Elhosni
Resource Type: eBook.
Subjects: Geographic information systems, Spatial data mining
Categories: TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems, COMPUTERS / Data Science / General, COMPUTERS / Artificial Intelligence / Natural Language Processing
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2932062
RelevancyScore: 1103
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1103.19409179688
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  Data: Interdisciplinary Approaches to Spatial Optimization Issues
– Name: Abstract
  Label: Description
  Group: Ab
  Data: As metropolises continue to see a growth in population, planners are continually searching for trending methods for utilizing space and seeking the best geographical arrangements for these cities. Professionals have continually used geographic information systems (GIS) to solve these issues; however, limitations in this technology remain prevalent. Integrating multiple-criteria decision analysis and evolutionary computing tools with GIS has created an array of robust solutions for spatial optimization problems in densely populated areas. Interdisciplinary Approaches to Spatial Optimization Issues is a pivotal reference source that provides vital research on advancements within the field of GIS and evolutionary solutions for spatial optimization issues. While highlighting topics such as computing machinery, vehicular routing, and operational research, this publication is ideally designed for practitioners, technicians, developers, academicians, students, government officials, planners, and researchers seeking current research on applications and improvements within spatial optimization and GIS.
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  Data: <searchLink fieldCode="AR" term="%22Sami+Faiz%22">Sami Faiz</searchLink><br /><searchLink fieldCode="AR" term="%22Soumaya+Elhosni%22">Soumaya Elhosni</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+data+mining%22">Spatial data mining</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 910.285
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Geographic information systems
        Type: general
      – SubjectFull: Spatial data mining
        Type: general
    Titles:
      – TitleFull: Interdisciplinary Approaches to Spatial Optimization Issues
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sami Faiz
      – PersonEntity:
          Name:
            NameFull: Soumaya Elhosni
      – PersonEntity:
          Name:
            NameFull: Sami Faiz
      – PersonEntity:
          Name:
            NameFull: Soumaya Elhosni
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 17
              M: 05
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781799819547
            – Type: isbn-electronic
              Value: 9781799819561
            – Type: isbn-electronic
              Value: 9781799819578
          Titles:
            – TitleFull: Interdisciplinary Approaches to Spatial Optimization Issues
              Type: main
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