A Flexible Way to Dynamically Visualize Spatiotemporal Data in a Geographic Information System
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In this project thesis, with the development of the dynamic system, we have shown that it is possible to visualize spatiotemporal data flexibly in real-time and which can also be examined from anywhere. The achieved system is capable to store any form of data and convert it to specific format automatically. Along with that the development of NTNU-QGIS web API will provide access to various devices to simultaneous collect and store data in the database to visualize at the same time. The entire system is scalable and is also detachable to integrate with other applications in the future. The various spatial patterns resulted in analysis process by making queries aid in giving a deeper understanding of the road traffic system which in a way provide answers to some questions related to improving the cellular network in road traffic.