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

Exporting formats – GML, WKT, and GeoJSON

Oracle Spatial provides different types of converters to convert the geometry data to GML (both Version 2.1 and Version 3.1.1), KML, and the well-known text and binary (WKT and WKB) representations. These converters are provided as PL/SQL functions and Java APIs. In this section, we will show examples of using these converters to generate GML and KML documents. The WKT and WKB examples will be very similar and are left as an exercise for the reader.

We first look at the KML converter using the following SQL example:

Select SDO_UTIL.To_Kmlgeometry(geom) gml_feature
From land_parcels Where fid= 16; 
<Polygon><extrude>0</extrude><tessellate>0</tessellate><altitudeMode>relativeToGround</altitudeMode><outerBoundaryIs><LinearRing> <coordinates>6006491.42346619,2121789.41749893 6006423.35503277,2121779.7587256 6006442...