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

Working with GeoRaster

GeoRaster can be used with data from any technology to capture or generate images, such as remote sensing, photogrammetry, and thematic mapping. It can be used in a wide variety of application areas including location-based services, geo-imagery archiving, environmental monitoring and assessment, geological engineering and exploration, natural resource management, defense, emergency response, telecommunications, transportation, and urban planning. In general, raster data covers a wide range of data types, such as digital images, geo-imagery (data collected by satellites), Digital Elevation Models (DEMs), Digital Terrain Models (DTMs), and gridded data (used in raster GIS). The GeoRaster feature in Oracle Spatial manages all of these diverse data types.

Raster data usually has some or all of the following elements:

  • Cells or pixels

  • Spatial domain (footprint)

  • Spatial, temporal, and band reference information

  • Cell attributes

  • Other secondary metadata (such as the date of data...