![]() In the Contents pane, right-click Penn_State_2D_Footprints and choose Properties.Multipatches capture the 3-D representation of the TIN surface in their geometry. The portion of the TIN surface within each polygon is extracted as a multipatch-based feature. For example, a magnetic survey dataset is collected as a series of point values, organized into a. A grid (.grd) is a data product created from a point dataset that has been 'gridded' (interpolated) to create a raster. Initialize the variables (choose your folder and names) outpath outname 'newlayer' multipatchlayer Select all fields to be present in the output layer as well (except FID created automatically and Shape we are constructing it) fields f.name for. In Geosoft desktop software (Oasis montaj, Target or Target for ArcGIS) the term 'grid' usually refers to a raster dataset.Now, you will modify the display of the 2D buildings layer so you can see them more clearly. Interpolate Polygon To Multipatch produces a multipatch feature class using a TIN and a polygon feature class as input. For those who don't have 3D Analyst, here is the python code I'm using as a workaround. Later on, it will contain the 3D buildings you construct. There is also another layer, Penn_State_3D_Buildings, which is a multipatch layer and can store complex textured 3D shapes. Locate the downloaded file on your computer and extract it to a location you can easily find, such as your Documents folder. You will set the elevation properties for this layer so that you can better see the buildings. Create a multipatch feature Perform textured editing Download the data First, download the data. That's because they are shown in a 3D environment and the 2D polygons are partially covered by small differences in the terrain elevation. The Multipatch Geometry Type seems to be very close to ESRI environment: -a multipatch can save the textures only if its stored in an ESRI file geodatabase. ![]() ![]() The same 2D building footprint layer, Penn_State_2D_Footprints, is displayed in the Scene view, but you'll notice that the two building footprints aren't fully displayed and seem to sink into the ground. Local scenes are useful to display 3D datasets that have a limited spatial extent, and are displayed with a projected coordinate system, such as a city or, in the case of this exercise, a university campus.
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