Abstract
Abstract. The change and rapid development in information and communication technologies in recent years has caused increasing the data sources and the volume of data. With the smart city concept, big and complex data collected from the internet of things (IoT), smart sensors, and wearable technologies has been introduced into our lives. Such big data can provide various opportunities and possibilities in urban management, however, to obtain meaningful information from big volume complex data is challenging. Visual analytics techniques provide an effective way for extracting significant information from big data. With the integration of geographic information systems (GIS) and its ability on geographic analysis, big data produced by the IoT and sensors can be analysed and represented in real time via city dashboards. In this study, literature research about big data visualization approaches within the smart cities is examined. Dashboard examples with the integration of GIS is examined and an open-source GIS-based dashboard example is designed in Apache Superset. The relationship between air quality and traffic density is demonstrated with different visualization methods.
Highlights
In recent decades, within the sustainability of the resources and efficiency of the services, the smart solutions and applications emerged and evolved rapidly
The emerging of smart city concept strongly promotes the big data production through the implication of internet of things (IoT), smart devices and sensors
With the integration of geographic information systems (GIS) and its ability on geographic analysis and geostatistics, big geographic data produced by the IoT and sensors can be analysed and represented in real time via city dashboards
Summary
Within the sustainability of the resources and efficiency of the services, the smart solutions and applications emerged and evolved rapidly. Smart city is a concept emerged with the aim of mitigating the negative effects of rapid urbanization, industrialization and consumption and increasing the efficiency of urban services (Taamallah et al, 2017). Since their initial adaptation, smart cities have evolved over the years, defining almost any kind of technological advancement and innovation with the development of the internet of things (IoT), smart sensors and devices (Allam and Dhunny, 2019). With the integration of geographic information systems (GIS) and its ability on geographic analysis and geostatistics, big geographic data produced by the IoT and sensors can be analysed and represented in real time via city dashboards. The relationship between air quality parameters and traffic density is demonstrated with different visualization methods via designed GIS-based open dashboard example
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