Skip to main content
  • 820 Accesses

Abstract

Even though the dedicated spatial datatypes, geometry and geography, are a relatively recent addition to SQL Server, almost every existing SQL Server database already contains some form of spatial information, that is, data that describes the location of some feature or other. This spatial information might not be of the sort we have considered so far in this book, being described using coordinates from a spatial reference system, but might instead be the addresses of customers or suppliers, postal codes, delivery routes, or the names of cities or regions for which a sales manager is responsible. Wouldn’t it be useful if you could conduct spatial analysis based on this sort of common, unstructured spatial information? That is exactly what geocoding enables you to do.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Alastair Aitchison

About this chapter

Cite this chapter

Aitchison, A. (2012). Geocoding. In: Pro Spatial with SQL Server 2012. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-3492-0_6

Download citation

Publish with us

Policies and ethics