Efficient urban planning is an increasingly important issue in today’s world. The population in cities is increasing, which leads to challenges for various infrastructures. Urban planning must find answers to this and make cities more efficient. One result of these efforts are Smart Cities that collect a lot of data. This data, when made available in standardized catalogs, can be used to make the right decisions in urban planning. In addition to catalogs, visualization capabilities for spatial data such as web map viewer are an important tool. Often catalog and visualization are separated. In this master’s thesis, a concept is developed to integrate a catalog into a map viewer to use it for retrieval and exploration of information resources. This integration benefits a user when viewing data in the map viewer by having
the catalog available to search for additional data relevant to the current region and task. The spatial data can then be visualized in the map viewer. To develop the concept, related implementations such as ArcGIS Online or NSW Digital Twin are analyzed and used as inspiration. The concept consists of the four main steps: Catalog Metadata Analysis, Communication and Filtering, Presentation and Visualization of Catalog Entries, Solutions for Connections and Resources. The concept is also realized through an implementation which extends the 3DCityDB Web Map Client to be able to send requests to a CKAN catalog. This proves that the developed concept
is feasible.
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Efficient urban planning is an increasingly important issue in today’s world. The population in cities is increasing, which leads to challenges for various infrastructures. Urban planning must find answers to this and make cities more efficient. One result of these efforts are Smart Cities that collect a lot of data. This data, when made available in standardized catalogs, can be used to make the right decisions in urban planning. In addition to catalogs, visualization capabilities for spatial d...
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