A new academic impact metric for evaluating geographic simulation models  

作　　者：Kai Xu Min Chen Albert J.Kettner C.Michael Barton Barry F.W.Croke Anthony J.Jakeman Daniel P.Ames Hsiao-Hsuan Wang Susan M.Cuddy Songshan Yue Yongning Wen Fengyuan Zhang Yixuan Zhang Guonian Lü 

机构地区：[1]Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC),Nanjing Normal University,Nanjing,Jiangsu,People’s Republic of China [2]Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing,Jiangsu,People’s Republic of China [3]State Key Laboratory Cultivation Base of Geographical Environment Evolution(Jiangsu Province),Nanjing,Jiangsu,People’s Republic of China [4]Community Surface Dynamics Modelling System (CSDMS),Institute of Arctic and Alpine Research (INSTAAR),University of Colorado,Boulder,CO,USA [5]School of Human Evolution and Social Change,Arizona State University,Tempe,AZ,USA [6]School of Complex Adaptive Systems,Arizona State University,Tempe,AZ,USA [7]Institute for Water Futures,Fenner School of Environment and Society,Australian National University,Canberra,Australia [8]Mathematical Sciences Institute,The Australian National University,Canberra,Australia [9]Department of Civil and Construction Engineering,Brigham Young University,Provo,UT,USA [10]Ecological Systems Laboratory,Department of Ecology and Conservation Biology,Texas A&M University,College Station,TX,USA [11]CSIRO Land and Water,Canberra,Australia

出　　处：《International Journal of Digital Earth》2022年第1期1855-1880,共26页国际数字地球学报（英文）

基　　金：supported by National Key Research and Development Program of China(Grant number 2022YFF0711604);the General Project of the NSF of China(Grant number 42071363).

摘　　要：Geographic simulation models can be used to explore and better understand the geographical environment. Recent advances in geographic and socio-environmental research have led to a dramatic increase in the number of models used for this purpose. Some model repositories provide opportunities for users to explore and apply models,but few provide a general evaluation method for assessing the applicability and recognition of models. In this study,an academic impact evaluation method for models is proposed. Five indices are designed based on their pertinence. The analytical hierarchy process is used to calculate the index weights,and the academic impacts of models are quantified with the weighted sum method. The time range is controlled to evaluate the life-term and annual academic impacts of the models. Some models that met the evaluation criteria from different domains are then evaluated. The results show that the academic impact of a model can be quantified with the proposed method,and the major research areas that models impact are identified.

关 键 词：Geographic simulation model academic impact analytic hierarchy process model impact evaluation 

分 类 号：P287[天文地球—地图制图学与地理信息工程]