Civil Engineering and Architecture Vol. 9(7), pp. 2556 - 2569
DOI: 10.13189/cea.2021.090738
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Modelling Macro Scale Spatial Analysis: Location Intelligence Application

Hassina Nafa 1,*, Husam R. Husain 2
1 Faculty of Architecture, Design & Fine Arts. Girne American University, Girne, Cyprus
2 Architecture and Urban Design Program, German University in Cairo, Egypt


Cities have distinctive identities that vary physically according to their geographical location, demographics, culture, environment, and economic factors. Altogether, they are targeted at a better quality of life by promoting their identity through revitalization efforts. This paper puts forwards an urban modelling application of location intelligence tool (Carto DB), and how nowadays tools could provide planners with both analytical databases and practical platforms to implement future strategies, which allow appraisal of cities’ current situation, along with specific strategies, methods, and approaches for mapping and highlighting the different aspects of life to develop exercises in macro planning issues which are capable of responding to the needs of today’s phenomena. This application applied diverse case studies selected from students’ hometowns with different complexity, history, within recent developments. The results show that the synchronicity and growth between software and urban planning provided and tested new analytical tool, which allows spatial applications of various strategical analyses on different scales.

Architectural Education, Learning Platforms, Cities, Carto DB, Macro Planning

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Hassina Nafa , Husam R. Husain , "Modelling Macro Scale Spatial Analysis: Location Intelligence Application," Civil Engineering and Architecture, Vol. 9, No. 7, pp. 2556 - 2569, 2021. DOI: 10.13189/cea.2021.090738.

(b). APA Format:
Hassina Nafa , Husam R. Husain (2021). Modelling Macro Scale Spatial Analysis: Location Intelligence Application. Civil Engineering and Architecture, 9(7), 2556 - 2569. DOI: 10.13189/cea.2021.090738.