Intelligent Spatial Decision Support Systems:
In the past half century, we have experienced two major waves of methodological development in the study of human behavior in space and time. The fIrst wave was the well known "quantitative revolution" which propelled geography from a mainly descriptive discipline to a scientifIc disciplin...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1997
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Ausgabe: | 1st ed. 1997 |
Schriftenreihe: | Advances in Spatial Science, The Regional Science Series
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Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | In the past half century, we have experienced two major waves of methodological development in the study of human behavior in space and time. The fIrst wave was the well known "quantitative revolution" which propelled geography from a mainly descriptive discipline to a scientifIc discipline using formalism such as probability, statistics, and a large-number of mathematical methods for analyzing spatial structures and processes under certainty and uncertainty. The second wave is the recent advancement of geographical information systems which equips geographers with automation in the storage, retrieval, analysis, and display of data. Both developments have significant impacts on geographical studies in general and solutions to real life spatio-temporal problems in particular. They have found applications in urban and regional planning, automated mapping and facilities management, transportation planning and management, as well as environmental planning and management, to name but a few examples. Both developments have one thing in common. They one way or the other use computer to process and analyze data. However, not until recently, there has been very little interaction between the two. Quantitative models have largely been developed independent of the underlying data models and structures representing the spatial phenomena or processes under study. Display of analysis results has been primitive in terms of the utilization of computer graphic technologies. Formal models, in addition to their technical difficulties, have poor capability in communication with users. Geographical information systems, on the other hand, have originally been developed with a slight intention to entertain powerful analytical models |
Beschreibung: | 1 Online-Ressource (XV, 470 p) |
ISBN: | 9783642607141 |
DOI: | 10.1007/978-3-642-60714-1 |
Internformat
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520 | |a In the past half century, we have experienced two major waves of methodological development in the study of human behavior in space and time. The fIrst wave was the well known "quantitative revolution" which propelled geography from a mainly descriptive discipline to a scientifIc discipline using formalism such as probability, statistics, and a large-number of mathematical methods for analyzing spatial structures and processes under certainty and uncertainty. The second wave is the recent advancement of geographical information systems which equips geographers with automation in the storage, retrieval, analysis, and display of data. Both developments have significant impacts on geographical studies in general and solutions to real life spatio-temporal problems in particular. They have found applications in urban and regional planning, automated mapping and facilities management, transportation planning and management, as well as environmental planning and management, to name but a few examples. Both developments have one thing in common. They one way or the other use computer to process and analyze data. However, not until recently, there has been very little interaction between the two. Quantitative models have largely been developed independent of the underlying data models and structures representing the spatial phenomena or processes under study. Display of analysis results has been primitive in terms of the utilization of computer graphic technologies. Formal models, in addition to their technical difficulties, have poor capability in communication with users. Geographical information systems, on the other hand, have originally been developed with a slight intention to entertain powerful analytical models | ||
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Datensatz im Suchindex
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author | Leung, Yee |
author_facet | Leung, Yee |
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author_sort | Leung, Yee |
author_variant | y l yl |
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dewey-ones | 338 - Production |
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dewey-search | 338.9 |
dewey-sort | 3338.9 |
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discipline | Informatik Wirtschaftswissenschaften Geographie |
discipline_str_mv | Informatik Wirtschaftswissenschaften Geographie |
doi_str_mv | 10.1007/978-3-642-60714-1 |
edition | 1st ed. 1997 |
format | Electronic eBook |
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illustrated | Not Illustrated |
index_date | 2024-07-03T15:15:38Z |
indexdate | 2024-07-10T08:56:10Z |
institution | BVB |
isbn | 9783642607141 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032282886 |
oclc_num | 863859940 |
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physical | 1 Online-Ressource (XV, 470 p) |
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publishDate | 1997 |
publishDateSearch | 1997 |
publishDateSort | 1997 |
publisher | Springer Berlin Heidelberg |
record_format | marc |
series2 | Advances in Spatial Science, The Regional Science Series |
spelling | Leung, Yee Verfasser aut Intelligent Spatial Decision Support Systems by Yee Leung 1st ed. 1997 Berlin, Heidelberg Springer Berlin Heidelberg 1997 1 Online-Ressource (XV, 470 p) txt rdacontent c rdamedia cr rdacarrier Advances in Spatial Science, The Regional Science Series In the past half century, we have experienced two major waves of methodological development in the study of human behavior in space and time. The fIrst wave was the well known "quantitative revolution" which propelled geography from a mainly descriptive discipline to a scientifIc discipline using formalism such as probability, statistics, and a large-number of mathematical methods for analyzing spatial structures and processes under certainty and uncertainty. The second wave is the recent advancement of geographical information systems which equips geographers with automation in the storage, retrieval, analysis, and display of data. Both developments have significant impacts on geographical studies in general and solutions to real life spatio-temporal problems in particular. They have found applications in urban and regional planning, automated mapping and facilities management, transportation planning and management, as well as environmental planning and management, to name but a few examples. Both developments have one thing in common. They one way or the other use computer to process and analyze data. However, not until recently, there has been very little interaction between the two. Quantitative models have largely been developed independent of the underlying data models and structures representing the spatial phenomena or processes under study. Display of analysis results has been primitive in terms of the utilization of computer graphic technologies. Formal models, in addition to their technical difficulties, have poor capability in communication with users. Geographical information systems, on the other hand, have originally been developed with a slight intention to entertain powerful analytical models Regional/Spatial Science Geographical Information Systems/Cartography Information Systems and Communication Service Operations Research/Decision Theory Regional economics Spatial economics Geographical information systems Computers Operations research Decision making Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 s Entscheidungsunterstützungssystem (DE-588)4191815-0 s DE-604 Erscheint auch als Druck-Ausgabe 9783642645211 Erscheint auch als Druck-Ausgabe 9783540625186 Erscheint auch als Druck-Ausgabe 9783642607158 https://doi.org/10.1007/978-3-642-60714-1 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Leung, Yee Intelligent Spatial Decision Support Systems Regional/Spatial Science Geographical Information Systems/Cartography Information Systems and Communication Service Operations Research/Decision Theory Regional economics Spatial economics Geographical information systems Computers Operations research Decision making Geoinformationssystem (DE-588)4261642-6 gnd Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd |
subject_GND | (DE-588)4261642-6 (DE-588)4191815-0 |
title | Intelligent Spatial Decision Support Systems |
title_auth | Intelligent Spatial Decision Support Systems |
title_exact_search | Intelligent Spatial Decision Support Systems |
title_exact_search_txtP | Intelligent Spatial Decision Support Systems |
title_full | Intelligent Spatial Decision Support Systems by Yee Leung |
title_fullStr | Intelligent Spatial Decision Support Systems by Yee Leung |
title_full_unstemmed | Intelligent Spatial Decision Support Systems by Yee Leung |
title_short | Intelligent Spatial Decision Support Systems |
title_sort | intelligent spatial decision support systems |
topic | Regional/Spatial Science Geographical Information Systems/Cartography Information Systems and Communication Service Operations Research/Decision Theory Regional economics Spatial economics Geographical information systems Computers Operations research Decision making Geoinformationssystem (DE-588)4261642-6 gnd Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd |
topic_facet | Regional/Spatial Science Geographical Information Systems/Cartography Information Systems and Communication Service Operations Research/Decision Theory Regional economics Spatial economics Geographical information systems Computers Operations research Decision making Geoinformationssystem Entscheidungsunterstützungssystem |
url | https://doi.org/10.1007/978-3-642-60714-1 |
work_keys_str_mv | AT leungyee intelligentspatialdecisionsupportsystems |