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Using the techniques described in Chapter 10, you know how to obtain the shortest path between two network nodes. The result of the search was a , or a list of links traversed. You could also get the , or the geometry of the path

So far, you have seen how to use spatial-based queries and how to manipulate spatial objects. However, one important aspect is still missing: the visualization of spatial objects using maps. After all, location information is all about maps, and to paraphrase a common saying, amap is certainly worth 1,000 words. In this Chapter and the next, you will see how to enable a map-based visualization of spatial data in your applications using Oracle MapViewer.

In the preceding Chapter, you saw the overall architecture of MapViewer and how to install and configure it. You also learned how to define the various elements that make up a map: styles, themes, and maps, as well as map caches. In this Chapter, you will learn how to use maps in your applications using the many application programming interfaces available with MapViewer.

Throughout this book, you have learned many techniques relating to spatial technology: how to location-enable an application, how to perform spatial analysis, and how to view the results using dynamically generated maps

This Chapter describes five case studies that illustrate how to use Oracle Spatial for storing, analyzing, visualizing, and integrating spatial data in business and government applications. These are large, complex applications that include several components and software tools besides Oracle Spatial, but they rely on Oracle Spatial for handling all spatial data

Now that you have studied many techniques for how to location-enable your application and how to incorporate spatial analysis and visualization tools in your application, we think it is time for a little advice