Data collection is moving towards more details and larger scales and efficient ways of interpreting the data and analysing it is of great importance. A Building Information Model (BIM) includes very detailed and accurate information of a construction. However, this information model is not necessarily geo located but uses a local coordinate system hampering environmental analysis. Transforming the BIM to its corresponding geo-located model helps answering many environmental questions efficiently. In this research, we have applied methods to automatically transform the geometric and semantic information of a BIM model to a geo-referenced model. Two analyses, namely view and shadow analysis, have been performed using the geometric and semantic information within the geo-referenced BIM model and other existing geospatial elements. These analyses demonstrate the value of integrating BIM and spatial data for e.g. spatial planning.
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Rafiee et al. (2014) studied this question.
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