The Study Of Urban Public Space Shape Based On Big Data Applying

With the application of cloud computing technology and the formation of a large database during the Internet era,urban public space shape has evolved simultaneously.The applications of data visualization broke the shackles of a two-dimensional plane performance,which is the way that urban public space shape used to perform,and then turned to a multidimensional-space way of human-computer interaction and dynamic updating.The data visualization applications made the way of urban planning changed from predictive subjective derivation to synergistic quantitative analysis.At present,through the multi-disciplinary field of research and the interdisciplinary practice,a large number of domestic and foreign practitioners of urban planning,computational scientists,statisticians,sociologists initially formed a series of theoretical methods and practical results on the impacts of data to urban space shape.However,there are not many studies about the association and expression between data and space shape.In this paper,the research results of institutes from abroad and domestic will be used to analysis expression and content of urban public space shape,and explore the data at the same time.There are four parts consist of this research.The first part introduces the current academic development and some research applications about the urban management;through the introduction,it can clearly explain the purpose,significance,methods,technology and innovation of this research.The second part introduces the relationship between big data and the role of urban spatial form and from a variety of disciplines in the field of data collection methods(including:geographic information technology,Internet social data,such as government statistics data,the data of the basic application methods),through combing computer science,urban and rural planning,statistics,and so on multi-disciplinary theories,established the data affect the theoretical basis of urban public space form,to find the difference between the big data technology and traditional way and complementary ways.The third through the theory and research method of the former three parts summarize analysis of instances of the application at home and abroad,summed up the characteristics of the urban public space form multiple scales and different from the traditional superior expression patterns of urban public space form.The fourth part through the case study,the data and geographic space combination,adopt GeoFlow software will Beijing statistical yearbook data superposition in the aspect of urban space to research and analysis,summed up the regional economy,population,culture industry of the role of the relationship between spatial distribution characteristics and the elements.The fifth part through to the big data is applied to critical thinking and Suggestions of urban public space,the essence and the limitation of the big data from big data to discuss and put forward should further open data sources and guide the development direction of public participation in big data interaction.In this paper,by analyzing the technical data for the cause of the urban public space form,ways and results,the influence of the use of the technical means of the quantitative analysis of the data of the characteristics of intuitive,scientific,accurate,combined with case study and then study large Shared data related to data on the mechanism of urban public space form.Urban public space under the effection of information data,is a ’people-oriented’ network convergence space;spatial behavior of individuals can form a brand new multi-level aggregation pattern in the physical space of urban through extensive association.By the reference of information data,it can provide a completely new research method for urban space planning;the data visualization can also provide a multi-dimensional spatial expression way for urban public space shape;the spatial morphology that was ignored under the traditional research work,can be vividly presented.