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Titlebook: Database Issues in Geographic Information Systems; Nabil R. Adam,Aryya Gangopadhyay Book 1997 Springer Science+Business Media New York 199

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發(fā)表于 2025-3-21 19:35:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Database Issues in Geographic Information Systems
編輯Nabil R. Adam,Aryya Gangopadhyay
視頻videohttp://file.papertrans.cn/264/263356/263356.mp4
叢書名稱Advances in Database Systems
圖書封面Titlebook: Database Issues in Geographic Information Systems; Nabil R. Adam,Aryya Gangopadhyay Book 1997 Springer Science+Business Media New York 199
描述Geographic Information Systems (GIS) have been experiencing asteady and unprecedented growth in terms of general interest, theorydevelopment, and new applications in the last decade or so. GIS is aninter-disciplinary field that brings together many diverse areas suchas computer science, geography, cartography, engineering, and urbanplanning. ..Database Issues in Geographic Information Systems. approachesseveral important topics in GIS from a database perspective. Databasemanagement has a central role to play in most computer-basedinformation systems, and is expected to have an equally important roleto play in managing information in GIS as well. Existing databasetechnology, however, focuses on the alphanumeric data that arerequired in business applications. GIS, like many other applicationareas, requires the ability to handle spatial as well as alphanumericdata. This requires new innovations in data management, which is thecentral theme of this monograph. The monograph begins with an overviewof different application areas and their data and functionalrequirements. Next it addresses the following topics in the context ofGIS: representation and manipulation of spatial data, data mode
出版日期Book 1997
關(guān)鍵詞GIS; Geoinformationssysteme; cartography; database; development; geographic data; information
版次1
doihttps://doi.org/10.1007/978-1-4615-6109-5
isbn_softcover978-1-4613-7799-3
isbn_ebook978-1-4615-6109-5Series ISSN 1386-2944
issn_series 1386-2944
copyrightSpringer Science+Business Media New York 1997
The information of publication is updating

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Ghazi M. Rayan,Joseph Upton III GIS application domains, different approaches have been taken in representing spatial and non-spatial data. As we have already mentioned in Chapter 1, two major types of representation methods for spatial data are called . and . based representations. Field-based representation methods capture the
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Ghazi M. Rayan,Joseph Upton IIIion domains into field and object-based applications, we divide these methods into field and object-based representation and manipulation methods. In field-based representation, the geographic space is partitioned (tessellated) into cells that are disjoint and that collectively cover the entire geog
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https://doi.org/10.1007/978-0-387-77292-9tes locational data, in addition to attribute data. In order to systematically study the various issues related to spatial query processing, we start with query processing in traditional database applications and then identify the extensions and modifications required to accommodate spatial queries.
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https://doi.org/10.1007/978-0-387-77292-9dress the topics already mentioned in previous chapters, although many of them are still open research issues. We address the some of the latest developments in computer technology and describe the type of impact that such developments on GIS. This chapter is organized as follows. In each of the fol
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Introduction,ute) data required for geographic applications. Examples of spatial data are digital maps, administrative boundaries, and road networks, and those of non-spatial data are census counts, land elevations and soil characteristics.
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Database Issues in Geographic Information Systems978-1-4615-6109-5Series ISSN 1386-2944
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