Spatial-temporal analysis of Big Data using Geographic Information System
Publish place: The second international conference and the seventh national conference on architecture and sustainable city
Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
NCSAC07_195
تاریخ نمایه سازی: 29 مرداد 1402
Abstract:
Today, data is generated and fed in massive amounts from countless sources. In the field of urban services, this can lead to the emergence of many issues and problems in order to provide appropriate relief services with sufficient speed and accuracy. Therefore, data mining and information extraction in order to provide a suitable solution and improve services to citizens is inevitable. In this research, using the general G-statistic and the general Moran's statistic, the clusters were examined and evaluated in terms of frequency. Moran's statistic was also used to identify and reveal the behavior of events in terms of spatial dispersion distribution pattern. By examining the distribution map of events, a comparison and final evaluation was made annually. The evaluation results show that the distribution pattern of spatial dispersion is similar in each year and its similarity percentage reaches ۹۵% on average.
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Authors
Saeed Behzadi
Assistant Professor in Surveying Engineering, Department of Civil Engineering, Shahid Rajaee TeacherTraining University, Tehran, Iran
Maryam Abbaspour
BSc. Student in Civil Engineering, Faculty of Civil Engineering, University of Science and Technologyof Iran, Tehran, Iran