| With the arrival of the global big data era,people pay more and more attention to data use and data analysis.At present,China is in the period of rapid development of smart city construction.In the process of development,if we wanted the intelligent management come true,we should collect all the data such as energy data,traffic data,environment data and so on.Also we need the support of spatial location because the city is a huge geographical space for human activities,so we should associate thematic attribute data with spatial data.What is the most important is that we should make data analysis to discover temporal and spatial patterns of data.This paper aims to study the key technologies of spatiotemporal data fluctuation analysis based on GIS platform.Based on GIS data aggregation platform,the collection,storage,association,unification and centralized management of data and spatial data are completed in the special fields of energy,transportation,environment and so on.Then the whole technical framework of pulse analysis is completed by combing and integrating the key technologies of pulse analysis.Finally this paper makes pulsation analysis in the fields energy,transportation and environment based on the data from the platform.In the energy pulsation analysis,the ARMA time series prediction model is established to predict the gas consumption of the residents.Then this paper makes data visualization based on energy data.In the traffic pulsation analysis,the buffer site analysis and passenger flow statistics of the bus station in the Sino-Singapore Tianjin Eco-city is used to make some suggestions for improvement.In the traffic pulsation analysis the short-term traffic prediction model based on self encoding stack is established.Based on the Shanghai metro card data,it confirmed the validity of mode.In the environment pulsation analysis,this paper makes some study on vegetation coverage based on the NDVI index of Sino-Singapore Tianjin Eco-city. |
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