Accuracy assessments and uncertainty analysis of spatially explicit modeling for land use/cover change and urbanization:A case in Beijing metropolitan area  

作　　者：ZHANG Jie ZHOU YinKang LI RenQiang ZHOU ZhaoJun ZHANG LiQuan SHI QingDong PAN XiaoLing 

机构地区：[1]State Key Laboratory of Estuarine and Coastal Research,East China Normal University,Shanghai 200062,China [2]College of Geography and Ocean Sciences,Nanjing University,Nanjing 210093,China [3]Research Center for Ecosystem Network,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China [4]Xinjiang Polytechnic College,Urumqi 830091,China [5]Institute of Arid Ecology&Environment,Xinjiang University,Urumqi 830046,China

出　　处：《Science China Earth Sciences》2010年第2期173-180,共8页中国科学（地球科学英文版）

基　　金：supported by China Postdoctoral Science Foundation (Grant No.20070420630);National Basic Research Program of China (Grant Nos.2002CB412507,G19990435)

摘　　要：Spatially explicit modeling plays a vital role in land use/cover change and urbanization research as well as resources management;however,current models lack proper validation and fail to incorporate uncertainty into the formulation of model predictions.Consequently,policy makers and the general public may develop opinions based on potentially misleading research,which fails to allow for truly informed decisions.Here we use an uncertainty strategy of spatially explicit modeling combined with the series statistic of Kappa index for location and quantity to estimate the uncertainty of future predications and to determine model accuracy.We take the Beijing metropolitan area as an example to demonstrate the uncertainty in extrapolations of predictive land use change and urban sprawl with spatially explicit modeling at multiple resolutions.The sensitivity of scale effects is also discussed.The results show that an improvement in specification of location is more helpful in increasing accuracy as compared to an improvement in the specification of quantity at fine spatial resolutions.However,the spatial scale has great effects on modeling accuracy and correct due to chance tends to increase as resolution becomes coarser.The results allow us to understand the uncertainty when using spatially explicit models for land-use change or urbanization estimates.Spatially explicit modeling plays a vital role in land use/cover change and urbanization research as well as resources management;however,current models lack proper validation and fail to incorporate uncertainty into the formulation of model predictions.Consequently,policy makers and the general public may develop opinions based on potentially misleading research,which fails to allow for truly informed decisions.Here we use an uncertainty strategy of spatially explicit modeling combined with the series statistic of Kappa index for location and quantity to estimate the uncertainty of future predications and to determine model accuracy.We take the Beijing metropolitan area as an example to demonstrate the uncertainty in extrapolations of predictive land use change and urban sprawl with spatially explicit modeling at multiple resolutions.The sensitivity of scale effects is also discussed.The results show that an improvement in specification of location is more helpful in increasing accuracy as compared to an improvement in the specification of quantity at fine spatial resolutions.However,the spatial scale has great effects on modeling accuracy and correct due to chance tends to increase as resolution becomes coarser.The results allow us to understand the uncertainty when using spatially explicit models for land-use change or urbanization estimates.

关 键 词：spatially EXPLICIT modeling URBANIZATION ACCURACY assessment uncertainty analysis SCALE effect BEIJING METROPOLITAN area 

分 类 号：N[自然科学总论]