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Last modified by Hyunji Cho on 2022/05/26 12:40
From version 1.1
edited by Hyunji Cho
on 2022/05/26 12:28
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To version 3.1
edited by Hyunji Cho
on 2022/05/26 12:39
Change comment: There is no comment for this version

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1 -The analysed data can be presented in various forms. It can be presented by charts, graphs, and maps. Data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.  This process is making data more understandable.  This can be extremely beneficial when it comes to the urban data because it can raise the awareness among citizens, provide suitable information and service, and help city decision-maker to identify effective strategies for cities.
1 +**How do you share the analysis of the data? **
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4 +The analysed data can be presented in various forms. It can be presented by charts, graphs, and maps. Data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.  This process is making data more understandable.  This can be extremely beneficial when it comes to the urban data because it can raise the awareness among citizens, provide suitable information and service, and help city decision-makers to identify effective strategies for cities.
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3 3  The framework provides:
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5 -* Data ontology and entities cross referenced to the geo-spatial resolution ( Chapter 7 and Appendix 2)
6 -* Example of data visualisation (Chapter 10)
8 +* Data ontology and entities cross-referenced to the geospatial resolution
9 +* Example of data visualisation