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".

Related Content you might be interested in

Current Title:

Small book image
Applying and Extending Oracle Spatial
Sep, 2013 | 568 pages
No titles found
Table of Contents (20 chapters)
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
1
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
2
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
3
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
4
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
5
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
6
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
7
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
8
Using and Imitating Linear Referencing Functions
Using and Imitating Linear Referencing Functions
Understanding linear referencing and measures
Linear referencing functions to be developed
Summary
9
Raster Analysis with GeoRaster
Raster Analysis with GeoRaster
Working with GeoRaster
Loading data into GeoRaster
Working with GeoRaster
Summary
10
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
11
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.

Previous Section
Next Chapter