| Statistical(attribute)data is the national statistical departments or institutions to the district as a unit,the use of census,sampling and other statistical methods,to collect,organize,compile the various statistical data,can show the region in the natural,economic,social and other aspects of attribute characteristics.The problems existing in the existing statistical data include:the statistical time span is large,that is,the time resolution is low;the city and county level statistics are less,that means,the spatial resolution is low;and the statistical results are mostly displayed in the form of text form,uniformity of the way,the internal characteristics of the data is not obvious.By dividing the geographic unit into a certain size grid,selecting the appropriate index,constructing the model structure,and realizing the process of distributing the statistical data in the geospatial space,that is,the spatial-alocation of the statistical data,which can effectively avoid the existing statistical data.In recent years,the global climate change problem is increasingly serious,of which people are most concerned about is the global climate warming this serious problem,the main reason is that fossil fuel energy combustion of greenhouse gas-carbon dioxide emissions increased significantly.Therefore,reducing the carbon dioxide emissions generated by fossil energy combustion is a serious problem facing countries in the world,requiring the countries to bear the corresponding responsibility,the Chinese government has also actively joined the ranks.At present,China's fossil fuel energy statistics data is less,and energy statistics are mainly based on the provincial level data,city and county level energy consumption data is difficult to obtain,at the same time,different statistical departments using different calculation methods,statistical standards,statistics Caliber,resulting in different provinces and cities between the fossil fuel energy statistics there is a calculation of bias and other issues.The problem of greenhouse gas emission reduction can be better analyzed by spatial-alocation the fossil energy carbon dioxide emission statistics with spatial attributes.Therefore,the study of carbon dioxide emissions statistics for the long-term development of our country is of great significance.In this paper,the carbon dioxide emission statistics generated by fossil fuel energy consumption is taken as an example.By combining the multi-source data and constructing the relationship model between the statistical data and the influencing factors,the method of simulating the cross-scale spatial-alocation of China's carbon dioxide emission statistics is put forward.The main contents of this paper are the integration of nighttime light data,population data,GDP and other multi-source data,the fossil fuel energy carbon dioxide emissions statistics data space,specifically the use of multiple scales(provincial-county-city)fossil fuel energy carbon dioxide emissions The spatial model of the provincial-county-city cross-scale spatial model was established,and the provincial level(30 provinces in China)was simulated by the panel regression model which could take into account the regional scale difference of the carbon emission data.(128 counties in Henan Province)-Urban(Zhengzhou City)cross-scale carbon emission space diagram.Analysis of China's fossil fuel energy carbon dioxide emissions across the scale of the method,not only conducive to the Chinese government to understand the carbon dioxide emissions in the district,so that scientific and rational response to climate change;also conducive to all levels of government within the administrative jurisdiction of the emission reduction responsibilities,For the formulation of government policies to provide a reasonable basis for our country in the international fight for carbon dioxide emission reduction to provide scientific support. |
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