![]() ![]() Cities are difficult to model in detail because of their often complex geometries. The problem of modelling, especially of large-scale virtual urban environments such as city areas is today very challenging for cartographers. However, the learning curve is steep and the CityEngine will not be the best option for all types of users. Results obtained are promising, however it is necessary to carefully study other complex cases. The evaluation is made through a case study corresponding to a real situation in Portugal previously identified. The 3D visualisation requirements against which CityEngine was evaluated are classified into three main categories: cadastral requirements, visualisation requirements and non-functional requirements. This paper focuses primarily on 3D visualisation, not on data management or data delivery. This work proposes the evaluation of CityEngine's suitability as a 3D cadastral visualisation tool, since it was not developed specifically for that purpose. One of those systems is the ESRI CityEngine. If these systems can somehow be reutilized in the 3D cadastre context, associate costs might be lower by building a system out of scratch. The 3D modelling of urban environments utilizes 3D visualisation systems. Thus, research on 3D cadastral visualisation needs more investigation. However, they still require maturation and validation by the users before being able to be used in real life situations. Currently, several 3D visualisation applications and cadastral prototypes have been developed around the world. This workflow is most effective for digitizing new content or iteratively updating existing multipatches and requires an active 3D edit session.3D visualisation is a graphical way to identify and spatially communicate the complexity of a large number of real life situations of overlapping and encroachments in 2D or 3D land and property interests (e.g., buildings with complex architecture, infrastructures above or below Earth surface, natural resources and corresponding rights). You can also choose an existing multipatch feature and switch out its current geometry with an updated or new 3D model. The 3D editing environment allows you to interactively place a 3D model into the view as a new multipatch feature class stored within the geodatabase. ![]() #Apply texture to multipatch cityengine updateInteractively place or update a feature using a 3D model It is also effective for layers that use repetitive symbols, such as proposed building tracts with a limited number of housing models. This tool is most effective for a small number of 3D models that are not already georeferenced. By symbolizing point features using 3D models, the source files can be converted into correctly placed, rotated, and sized multipatch features. The Layer 3D To Feature Class geoprocessing tool converts a symbolized 3D layer into 3D features. Convert symbolized points into a feature class If the models are not georeferenced-for example, they are in a local origin coordinate system centered on (0,0)-a second step to position the features correctly in geographic space is required after importing them. This tool is most effective for large numbers of 3D models that have been correctly georeferenced. The Import 3D Files geoprocessing tool takes a collection of 3D model files and imports each model into a separate multipatch feature. ![]() Import 3D models directly into a feature class The files can be imported directly into a feature class, converted from 3D symbology, or interactively placed and updated inside a 3D edit session.Įach of these options is effective for specific use cases and is described in more detail below. There are several ways to import a three-dimensional (3D) model into a multipatch feature class.
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