Oracle spatial

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  • The Oracle Spatial User’s Guide and Reference provides usage and reference information for indexing and storing spatial data and for developing spatial applications using Oracle Spatial and Oracle Locator. Oracle Spatial requires the Enterprise Edition of Oracle Database 10g. It is a foundation for the deployment of enterprise-wide spatial information systems, and Web-based and wireless location-based applications requiring complex spatial data management. Oracle Locator is a feature of the Standard and Enterprise Editions of Oracle Database 10g.

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  • Oracle allows you to define your own object data types, which you can use for creating objects, discussed in detail in Chapter 21, “Object Relational Interactions with Oracle.” Oracle also includes specialized data types for working with XML, spatial data, and media data, as well as ways to access type descriptions when the data type is not known.

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  • Organizations are discovering with increasing frequency that the vast majority of their information assets have a spatial component, for example, the location of customers, shipments, facilities, personnel, competitors, and so on. The ability to use this information properly is fundamental to reducing operational costs, optimizing production efficiency, and increasing the quality of service. Evidence of the benefits that can be achieved by exploiting spatial information is plentiful, and many organizations are looking at ways of harvesting these benefits....

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  • For simplicity, in the example we have assumed that a new map is created at the end of every step. This is certainly a possibility, but it is not necessarily the best option. Later in this book, we will discuss data modeling and how to optimize the sequence of operations. In particular, Chapters 8 and 9 cover spatial operators and functions that make it possible to cluster some of the steps in the example into single queries, making the process much simpler and more efficient.

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  • Oracle Spatial allows users and application developers to seamlessly integrate their spatial data into enterprise applications. Oracle Spatial facilitates analysis based on the spatial relationships of associated data, like the proximity of store locations to customers within a given distance and sales revenue per territory. Oracle Spatial manages spatial data in an industry-standard database, resulting in application integration that takes place at the data server.

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  • Event recognition methods can be roughly categorized into model-based methods and appearance-based techniques. Model-based approaches relied on various models, includ- ing HMM [35], coupled HMM [3], and Dynamic Bayesian Network [33], to model the temporal evolution. The relationships among different body parts and regions are also modeled in [3], [35], in which object tracking needs to be conducted at first before model learning.

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