使用数据互操作的工具.doc

使用数据互操作性的工具 This section provides an overview of the tools that are available in the Data Interoperability extension for accessing your various data formats. 本节提供一个工具 ， 是在访问您的各种数据格式 ， 数据互操作扩展现有的概述。 These tools can be organized into three functional areas: 这些工具可以分为三个功能区： Direct read 直读 Quick conversion 快速转换 Data transformation 数据转换 Which tool you should use depends on your project requirements and objectives. 哪个工具 ， 您应该使用取决于您的项目要求和目标。 For example, you may only need to directly read non-native data formats, and installing the extension is all you need for this capability. 例如，您可能只需要直接读取非本地数据格式，并安装扩展你对这种能力的需要。 On the other hand, you may need to convert your data to a native ESRI format to perform tasks such as editing or creating a topology. 另一方面，您可能需要将您的数据格式，ESRI公司本机来执行任务 ， 例如编辑或创建拓扑。 For this, you could use the Quick Import geoprocessing tool, or create your own custom tool with the Spatial ETL tool. 为此，您可以使用快速导入地理处理工具，或者创建自己的空间ETL工具自定义的工具。 Lastly, you may need to convert and manipulate your data to generate an output that is tailored to your project or a clients particular needs. 最后，您可能需要转换和控制数据以生成一个是适合您的项目或客户的特殊需要输出。 The Data Interoperability extension provides the framework to support all of these types of workflows. 该数据互操作扩展提供了一个框架 ， 以支持工作流程 ， 所有这些类型。 Direct read tools 直接读取工具 The simplest way to directly read external ESRI data formats is by browsing to the datasets in the Catalog Tree in ArcCatalog. 最简单的方法直接读取外部ESRI公司的数据格式是在浏览到在ArcCatalog目录树中的数据集。 This ability only requires that the Data Interoperability Extension is enabled. 这种能力只要求的数据互操作扩展启用。 How the data is represented in the Catalog tree will depend on the format of the data—some data will be containers with feature classes (like a coverage) and others will be single files (like a shapefile). 如何将数据代表的目录树将取决于数据的格式，一些数据将与要素类容器（如覆盖率）和其他人将被（如shapefile文件）单个文件。 The following illustration shows several different data formats in the Catalog Tree: 下图显示了几个不同的目录树中的数据格式： As with ArcCatalog, you can also easily