Book Image

Applying and Extending Oracle Spatial

Book Image

Applying and Extending Oracle Spatial

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
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Table Comparing Simple Feature Access/SQL and SQL/MM–Spatial
Index

Chapter 9. Raster Analysis with GeoRaster

Spatial features can be represented in vector or raster format. So far we have discussed the vector related features of Oracle Spatial, and we introduce the raster related features called GeoRaster in this chapter. Traditional GISs propose to store raster data as BLOBs in the database. This approach might be sufficient if the raster data is only used as backdrop images in maps. But if any raster data processing and analysis is required, storing raster data as GeoRaster objects offers many features and advantages over storing this data just as BLOBs. Loading and storing any raster data inside a database simply for the purpose of storage or visualization provides limited utility. Storing raster data for use within a transactional system has engendered a view that one must see all data as part of a complete model; the data loaded must be seen in relation to all other data under the control of that model. The goal of this chapter is to demonstrate how...