Book Image

Applying and Extending Oracle Spatial

By : Siva Ravada, Simon Greener
Book Image

Applying and Extending Oracle Spatial

By: Siva Ravada, Simon Greener

Overview of this book

Spatial applications should be developed in the same way that users develop other database applications: by starting with an integrated data model in which the SDO_GEOMETRY objects are just another attribute describing entities and by using as many of the database features as possible for managing the data. If a task can be done using a database feature like replication, then it should be done using the standard replication technology instead of inventing a new procedure for replicating spatial data. Sometimes solving a business problem using a PL/SQL function can be more powerful, accessible, and easier to use than trying to use external software. Because Oracle Spatial's offerings are standards compliant, this book shows you how Oracle Spatial technology can be used to build cross-vendor database solutions. Applying and Extending Oracle Spatial shows you the clever things that can be done not just with Oracle Spatial on its own, but in combination with other database technologies. This is a great resource book that will convince you to purchase other Oracle technology books on non-spatial specialist technologies because you will finally see that "spatial is not special: it is a small, fun, and clever part of a much larger whole".
Table of Contents (20 chapters)
Applying and Extending Oracle Spatial
About the Authors
About the Reviewers
Table Comparing Simple Feature Access/SQL and SQL/MM–Spatial


In this chapter you were introduced to a basic, yet complete, set of functional components that are required to carry out linear processing and analysis. In some situations, those functions could be used as "drop in" Replacements for existing Oracle functionality that is out of reach of an organization due to licensing and cost situations; such a decision should only be made after carefully weighing all options. While some of the examples were contrived, care was taken to create some "real-world" scenarios that showed how linear processing can be used to:

  • Solve problems as generating metrics to test compliance with local council or city by-laws

  • Represent, spatially, road surface, and condition data, stored in traditional linear referencing systems format

While the examples given were based on road or street data, linear referencing and processing can be used in other situations, such as the life sciences where linear plots or transects are created for the purpose of measuring trees...