Abstract: With the spatial variation function of spatial statistical software ArcGIS9.3, the paper studied deeply on the characteristic of spatial pattern and the dynamic evolution of spatial disparity about energy carbon emission in Xinjiang during 2002-2014. Results show as follows:(1) the value of Moran's I was negative in 2002-2003 and 2005-2007, indicating a significant spatial difference of carbon emissions among different states of Xinjiang. The carbon emission among states overall showed a stronger correlation during the study period.(2) Hot areas fluctuated, but mainly centered on the Northern Slope Economic Zone of Tianshan Muntains and South Slope Industry Zone Tianshan Muntains. Over time, the sub-cold areas and cold areas expanded gradually, but the hot areas declined. In the view of carbon emission scale, there was obvious disparity among states in Xinjiang, implying that there was still a long way to coordinate the development of economy, energy and environment.(3) The energy emission showed northeast to southwest, and northwest to southeast spatial distribution patterns. The standard deviation ellipse moved towards southern area in Xinjiang, with Changji being the core area and the main regions of carbon emission included. The energy emission gravity reflects a trend of southeast-northeast-southwest change. Finally, some countermeasures were proposed to solve this problem. For one thing, government should emphasize the spatial correlation function in the process of green, low carbon and recycle development, and establish scientific and reasonable energy management policy according to the spatial difference of energy emission. For another thing, government should make scientific and reasonable energy development strategy planning and design based on the top national energy planning in combination with the regional reality.

Key words: energy carbon emissions, ESDA-GIS, spatial distribution, spatial disparity, Xinjiang