Overview
Grabs reader’s attention with compelling, visual examples involving Virtual Earth and Microsoft MapPoint
Covers the ground from concept to implementation through to troubleshooting performance problems
Written by a Microsoft Master Instructor with three years of experience in location-based reporting and geographic analysis
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Table of contents (14 chapters)
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Front Matter
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Working with Spatial Data
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Front Matter
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Adding Spatial Data
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Front Matter
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Presenting Spatial Data
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Front Matter
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Analyzing Spatial Data
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Front Matter
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Keywords
About this book
Microsoft SQL Server 2008 introduces new geography and geometry spatial datatypes that enable the storage of structured data describing the shape and position of objects in space. This is an interesting and exciting new feature, with many potentially useful applications.
Beginning Spatial with SQL Server 2008 covers everything you need to know to begin using these new spatial datatypes, and explains how to apply them in practical situations involving the spatial relationships of people, places, and things on the earth.
- All of the spatial concepts introduced are explained from the ground up, so you need not have any previous knowledge of working with spatial data.
- Every section is illustrated with code examples that you can use directly in SQL Server.
- All of the topics covered in this book apply to all versions of SQL Server 2008, including the freely available SQL Server 2008 Express.
About the author
Bibliographic Information
Book Title: Beginning Spatial with SQL Server 2008
Authors: Alastair Aitchison
DOI: https://doi.org/10.1007/978-1-4302-1830-2
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books
Copyright Information: Alastair Aitchison 2009
Softcover ISBN: 978-1-4302-1829-6Published: 15 January 2009
eBook ISBN: 978-1-4302-1830-2Published: 21 February 2009
Edition Number: 1
Number of Pages: XXX, 456
Topics: Database Management, Data Structures and Information Theory, Computer Appl. in Administrative Data Processing