A new academic impact metric for evaluating geographic simulation models
作者机构：Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC)Nanjing Normal UniversityNanjingJiangsuPeople’s Republic of China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and ApplicationNanjingJiangsuPeople’s Republic of China State Key Laboratory Cultivation Base of Geographical Environment Evolution(Jiangsu Province)NanjingJiangsuPeople’s Republic of China Community Surface Dynamics Modelling System (CSDMS)Institute of Arctic and Alpine Research (INSTAAR)University of ColoradoBoulderCOUSA School of Human Evolution and Social ChangeArizona State UniversityTempeAZUSA School of Complex Adaptive SystemsArizona State UniversityTempeAZUSA Institute for Water FuturesFenner School of Environment and SocietyAustralian National UniversityCanberraAustralia Mathematical Sciences InstituteThe Australian National UniversityCanberraAustralia Department of Civil and Construction EngineeringBrigham Young UniversityProvoUTUSA Ecological Systems LaboratoryDepartment of Ecology and Conservation BiologyTexas A&M UniversityCollege StationTXUSA CSIRO Land and WaterCanberraAustralia
出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)
年 卷 期：2022年第15卷第1期
页 面：1855-1880页
核心收录：
学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学]
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)
主 题：Geographic simulation model academic impact analytic hierarchy process model impact evaluation
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.
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