Research On Visual Analytics Towards Ecological Economics Data

Ecological environment data and economic data are the important research foundation for exploring sustainable economic model,with the characteristics of space-time dynamic change,multi-attribute and complex internal relation.By putting the ecological resources,economic development and energy consumption of data integration,combining with the analysis and visual data mining method,can further study of macroeconomic policy,residents daily life way and the ecological resource consumption and protect the inner link between,for the sustainable development of the economic policy to provide a decision aid.At the same time,with the rapid progress of large data analysis and mining technology,especially the development of visual data analysis technology,for the analysis of a balanced development of the eco-economic system provides a strong analysis method,allows researchers to ecological economics a multidisciplinary cross domain data analysis and decision making have more humanized way more intuitive.How data visual analysis technology based on the continuous development,beyond the simple way of data presentation of existing,extension and depth of the study on the ecological-economic system data dimension,has become a very important research subject.In this paper,the visual analysis of mixed ecological economic information is carried out based on the characteristics of spatio-temporal dynamic change,multi-attribute and complex internal correlation of complex ecological economic data.Respectively from clustering data binding layout drawing algorithm,visual design,analysis of the interaction of the paradigm multi view consistency constraint model of collaborative visualization and clustering data visualization effect evaluation and so on study,deeply discusses the mixed information based on ecological-economic data sets of visual analysis method.The research contribution of this paper is mainly in the following aspects:1.From the visual rendering method,in view of the two kinds of typical data analysis situation:multiple attribute ecological-economic clustering data and trade circulation of ecological footprint analysis,design the specific layout drawing algorithm.Ecological-economic data based on multiple attribute clustering analysis of parallel coordinates,the force was proposed based on piecewise bone guide edge binding(FDSBB)method,the improved clustering data binding line,established the cluster scale and the correlation of the binding wire offset improved user clustering center for ecological economic data value,the discrete degree of accuracy,such as correlation between distribution characteristics of cognitive,effectively reduce the separation between the clusters of clustering center value caused by cognitive dissonance.Combined with trade circulation of ecological footprint data directed weighted graph.was proposed based on the effective range of the node connection graph edge binding method,improved the calculation method of compatibility between edge,and attributes of the edge direction in the directed graph clustering method.By coulomb force field effect at the time of the edge binding,the definition of"effective range",correction of severe dislocation in the figure,the length of the huge difference of side under "not ideal conditions" such as the problem of insufficient binding.The overall rendering effect and efficiency of trade ecological footprint flow view are improved.The identification degree of edge clustering line bundles in different directions in directed graph of ecological trade data is improved.2.In terms of the interaction design of visual analysis,an incremental interaction analysis paradigm based on frequent mining mode(SPAM)is proposed for the divergent mining situation of complex eco-economic data.Study the process model of initial support and support key parameters,such as through the analysis of recursive development pattern,in the process of analysis to providing an analysis path for the researchers of auxiliary decision-making information,help users to in-depth analysis on the ecological data,reveals the data model and the intrinsic relation between tacit knowledge behind.In addition,in view of the multiple views the mixture of collaborative information visibility analysis situation,research the multiple view visual mapping method of the consistency constraint model,based on the user’s visual cognition rule are analyzed in detail the visual coding channels multi view consistency constraint conditions and exceptions.At the same time,puts forward the mixed information visibility analysis method,synthetically in the form of hybrid linkage of the view to the user presents the statistical data of each reading Angle,to advance data visual analysis in the field of ecological economics has played a positive role.3.Parallel coordinates for high-dimensional data visualization mapping from the clustering characteristics of data distribution presents the perspective of accuracy,the corresponding evaluation gauge design,visual rendering algorithm for different present accuracy in data distribution aspects has carried on the comparative analysis,the effect of user research demonstrates its effectiveness.Based on the above research,this paper uses the D3 data visualization function library to develop the visual analysis system of ecological economic data,and provides users with the exploration and mining visual analysis tools for the field data.After user research and evaluation,the system can effectively improve the user understanding of the complex ecological economic data clustering analysis accuracy,at the same time for the user to spread the data mining provides more possibilities.To sum up,the research results of this paper can be used to design,experience and reference the research ideas in the fields of ecological resources protection,forestry production management and ecological economics.