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Thematic data analysis was used.
Data were audiotaped, transcribed, translated, coded and computerized for thematic data analysis.
Demographic, physical and thematic data are available for use in-house, or downloadable from the Harvard Geospatial Library.
Thematic data analysis identified six major themes: pathways to involvement; factors influencing involvement; widening access; befriender role; benefits from participation; and strengthening communities.
With respect to thematic data, web services are mainly used to present results leading to a supplier driven service model limiting the exploration of the data.
The object-based image analysis approach was used to extract information from terrain and groundwater models, aerial images, and thematic data.
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Thematic data-analysis (Braun and Clarke 2006) took place according to these five themes (see Table 3) and was performed by hand.
Figure 1 Cross-thematic data management and analysis for variety of smart city applications in Cloud environment.
These multi-spectrum challenges necessitate cross-thematic data harmonisation, integration and coordination between various departmental boundaries in order to monitor and model future smart cities.
But the development and implementation of an integrated intelligence framework that can accommodate cross-thematic data harmonisation for various application domains using a variety of tools, components and services is even more challenging.
Smart cities can benefit from such information using big, and often real-time, cross-thematic data collection, processing, integration and sharing through inter-operable services deployed in a cloud environment.
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