基于三维计盒法的城市空间形态分维计算和分析

将城市形态分形维数的二维盒维数方法扩展到三维空间,提出了一种三维盒维数计算方法;并且针对以往城市分形研究中人工判定无尺度区不精确的问题,借鉴了二阶导数的方法进行分形无尺度区的自动识别;以扬州市中心城区2003年与2012年两期数据为例,详细介绍了城市三维空间形态分维计盒法的计算过程。实验结果显示,通过二阶导数方法能够有效的自动识别无尺度区;2003年与2012年数据无尺度区线性拟合确定系数R2均在0.996以上,扬州市三维空间形态具有明确的分形特征;2012年较2003年三维分维值的增加表明扬州市城市三维空间利用总体上趋于有效与紧凑。     

Spatial-temporal characteristics and decoupling effects of China’s carbon footprint based on multi-source data

In 2007, China surpassed the USA to become the largest carbon emitter in the world. China has promised a 60%–65% reduction in carbon emissions per unit GDP by 2030, compared to the baseline of 2005. Therefore, it is important to obtain accurate dynamic information on the spatial and temporal patterns of carbon emissions and carbon footprints to support formulating effective national carbon emission reduction policies. This study attempts to build a carbon emission panel data model that simulates carbon emissions in China from 2000–2013 using nighttime lighting data and carbon emission statistics data. By applying the Exploratory Spatial-Temporal Data Analysis(ESTDA) framework, this study conducted an analysis on the spatial patterns and dynamic spatial-temporal interactions of carbon footprints from 2001–2013. The improved Tapio decoupling model was adopted to investigate the levels of coupling or decoupling between the carbon emission load and economic growth in 336 prefecture-level units. The results show that, firstly, high accuracy was achieved by the model in simulating carbon emissions. Secondly, the total carbon footprints and carbon deficits across China increased with average annual growth rates of 4.82% and 5.72%, respectively. The overall carbon footprints and carbon deficits were larger in the North than that in the South. There were extremely significant spatial autocorrelation features in the carbon footprints of prefecture-level units. Thirdly, the relative lengths of the Local Indicators of Spatial Association(LISA) time paths were longer in the North than that in the South, and they increased from the coastal to the central and western regions. Lastly, the overall decoupling index was mainly a weak decoupling type, but the number of cities with this weak decoupling continued to decrease. The unsustainable development trend of China's economic growth and carbon emission load will continue for some time.