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

Loading data into GeoRaster

Raster data is usually produced in files. There are two main components to raster data: the raw pixel data and the corresponding metadata that includes the source information, spatial reference information, and so on. One of the most difficult tasks for developers planning to use GeoRaster is to find the right approach for loading data on the file system into the database. This process is error prone and time consuming, if the right tools are not used for the loading process. Geospatial Data Abstraction Library (GDAL) is one of the most popular open source tools for handling raster data in several different well-known formats. GDAL also has a GeoRaster driver that can be used for loading raster data into GeoRaster. GDAL is mostly used via a command-line interface. But you need to be an experienced GDAL user to take advantage of all the command-line options provided by the tool. Oracle now provides a GUI-based tool on top of GDAL that is easy to use. This can be...