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Table Of Contents

Applying and Extending Oracle Spatial

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 Ô¨Ånally see that "spatial is not special: it is a small, fun, and clever part of a much larger whole".

Applying and Extending Oracle Spatial

Applying and Extending Oracle Spatial

Credits

Credits

About the Authors

About the Authors

About the Reviewers

About the Reviewers

www.PacktPub.com

www.PacktPub.com

Preface

Preface

Free Chapter

Defining a Data Model for Spatial Data Storage

Defining a Data Model for Spatial Data Storage

Defining a sample schema

Implementing spatial constraints in the database

Constraints with asynchronous triggers

Summary

Importing and Exporting Spatial Data

Importing and Exporting Spatial Data

Extract, transform, and load (ETL) tools

Storage resolution versus resolution used by functions

Creating spatial autocorrelation via clustering

Geometry validation and methods to clean imported data

Coordinate system transformation techniques

Spatial indexing

Exporting formats – GML, WKT, and GeoJSON

Summary

Using Database Features in Spatial Applications

Using Database Features in Spatial Applications

Using row-level and statement-level triggers

Understanding materialized views

Logging changes independently of applications

Flashback queries

AWR reports

Database replay

Workspace Manager

SecureFiles compression

Summary

Replicating Geometries

Replicating Geometries

Introducing different types of replication

Replicating data with materialized views

Streams based replication

Physical and logical standby database

OLTP and OLAP databases

Summary

Partitioning of Data Using Spatial Keys

Partitioning of Data Using Spatial Keys

Introduction to partitioning

Partitioning of spatial tables

Spatial partitioning of tables

Space curve based partitioning

Parallel queries and partitioning

High performance loading

Summary

Implementing New Functions

Implementing New Functions

Background to programming SDO_GEOMETRY

Examining an SDO_GEOMETRY's dimensionality

Understanding and using SDO_ORDINATES

Understanding and using SDO_ELEM_INFO

Extracting and filtering SDO_GEOMETRY elements

Vectorizing geometries with linestrings

Packaging or encapsulation functions

Packaging summary

Summary

Editing, Transforming, and Constructing Geometries

Editing, Transforming, and Constructing Geometries

Inserting, modifying, and deleting coordinates

Extending a linestring

Translating, rotating, scaling, and reflecting

Splitting linestring geometries – ST_Split

Moving/shifting lines parallel to the original object

Buffering one side of a linestring – ST_OneSidedBuffer

Tiling a vector geometry – ST_Tile

Adjusting coordinate dimensions

Summary

Using and Imitating Linear Referencing Functions

Using and Imitating Linear Referencing Functions

Understanding linear referencing and measures

Linear referencing functions to be developed

Summary

Raster Analysis with GeoRaster

Raster Analysis with GeoRaster

Working with GeoRaster

Loading data into GeoRaster

Working with GeoRaster

Summary

Integrating Java Technologies with Oracle Spatial

Integrating Java Technologies with Oracle Spatial

Why Java and Oracle Spatial?

Sourcing available Java spatial technologies

Downloading the JTS source code

Creating Java Stored Procedures

Packaging – source code versus .jar file

Functions for processing two geometries

Processing a collection of geometries

A collection of useful functions

Performance of Java-based SQL processing

Summary

SQL/MM – A Basis for Cross-platform, Inter-operable, and Reusable SQL

SQL/MM – A Basis for Cross-platform, Inter-operable, and Reusable SQL

Cross-platform representation

Geometry type implementation matrix

Constructing cross-database SQL

Programming for cross-database deployment

Summary

Table Comparing Simple Feature Access/SQL and SQL/MM–Spatial

Table Comparing Simple Feature Access/SQL and SQL/MM–Spatial

Use of TREAT and IS OF TYPE with ST_GEOMETRY

Use of TREAT and IS OF TYPE with ST_GEOMETRY

Understanding the TREAT operator

Understanding the IS OF TYPE comparison operator

Index

Index

About the Reviewers

Paul Thomas Dziemiela is a geographic information systems professional specializing in RDBMS geospatial solutions.

Jan Espenlaub studied Geography at the University of Freiburg, Germany. He started with GIS in 1980. He has worked for several companies and governmental agencies as a GIS consultant. His main focus is on data management, Oracle Spatial, GIS Interoperability, and open source software. He is currently working with regioData GmbH, leading the GIS Application development group.

John O'Toole is an Oracle database developer with a passion for spatial data. He has been using Oracle technology since 2001 and currently works in Dublin, Ireland, as a consultant with 1Spatial.

He works on projects with cadastral, land registration, and national mapping agencies, helping them to build innovative and scalable solutions with a particular emphasis on spatial data quality.

Among other activities, he actively participates on the OTN Oracle Spatial discussion forum and contributes to the GeoRaptor project.

John is an Oracle Database 10g and 11g Certified Professional and Oracle Spatial 11g Certified Implementation Specialist.

Brendan Soustal joined the workforce in 2002 as a Land Information Systems graduate. He has implemented a comprehensive program to improve the quality and quantity of geospatial and asset information at a local government as well as at state and international levels. These programs have seen the development of innovative systems and substantial improvements in workplace efficiency. They have also established new opportunities for data sharing and data standardization within the utilities industry.

Brendan's fresh approach to his information management roles and his enthusiasm for innovation has helped a number of organizations to embrace new technologies and broaden their range and depth of GIS and spatial applications.

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