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Create basic 3D KML, by adding Z values to features and setting KML geometry properties, in this Geodatabase to KML translation.
filegdb2ogckml-3d-fme2015.fmwt
In this demo, Z value are added to geodatabase features, and KML geometry properties are set. The result is 3D building features within KML data.
Note that this 3D forcing technique can be used in many scenarios, even for thematic mapping data such as earthquake intensity.
Source geodatabase data, Buildings.gdb, is read using the Esri Geodatabase (File Geodatabase Open API) Reader. The geodatabase data is coordinate system aware, and an elevation attribute is populated for all features.
Source Geodatabase in Data Inspector
The 3DForcer uses an attribute value, in this case Elevation, to add Z values to the coordinates of the 2D building features.
KML Geometry properties are set by the KMLPropertySetter:
Altitude Mode, specifies how the z values will be interpreted: Relative to Ground
Extrude, specifies whether to connect geometry to the ground: Yes
Inspect the output in Google Eath. Change the view aspect to see three-dimensional building features.
Output Buildings.kml in Google Earth
参照FME官方的2D的shape文件(属性值带高程)转换为KML的3D文件模板,我制作了一个流程:
1.已有2d的KML文件,默认是图形贴近地面(该文件由cad插件将cad图形转换而来)
2.给该有图无属性的KML初始文件的图形增加高程属性并赋值;
3.之后通过模块3dForce和KMLpropertySetter模块,转换为3dKML文件。。。。可以正常运行,但是KML图形仍然是2d贴近地面形式。
以上为本人描述的问题。。。。请大师解答。。。。谢谢了
因本人对坐标系不懂,所以只能用平面坐标系直接通过cad插件校准来对准谷歌地球了。。。。
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Custom Format for reading IGC (International Gliding Commission) data
Reduce the size of Geodatabase workspace
Extract Geodatabase Coded Domain Definitions
Point in Polygon Calculations with the PointOnAreaOverlayer
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