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| 1 | Geographic scenario:a possible foundation for further development of virtual geographic environments显示文摘It has been two decades since virtual geographic environments(VGEs)were initially proposed.While relevant theories and technologies are evolving,data organization models have always been the foundation of VGE development,and they require further exploration.Based on the comprehensive consideration of the characteristics of VGEs,geographic scene is proposed to organize geographic information and data.We empirically find that geographic scene provides a suitable organization schema to support geo-visualization,geo-simulation,and geo-collaboration.To systematically investigate the concept and method of geographic scene,Geographic Scenario is proposed as the theory on developing geographic scene,and corresponding key issues of the Geographic Scenario are illustrated in this article.Prospects of the proposed method are discussed with the hope of informing future studies of VGEs. | Guonian Lü Min Chen Linwang Yuan Liangchen Zhou Yongning Wen Mingguan Wu Bin Hu Zhaoyuan Yu Songshan Yue Yehua Sheng | 2018 | International Journal of Digital Earth2018，11，4： | 4 |
| 2 | A synthetic peptide derived fro m bactericidal/permeability -increasing protein neutralizes endotoxin in vitro and in vivo显示文摘 | Jiang Z Hong Z Guo W Xiaoyun G Gengfa L Yongning L | 2004 | International Immunopharmacology2004，4，： | 1 |
| 3 | A survey of biogenic amines in Chinese red wines显示文摘 | Zhijun L Yongning W Gong Z | 2007 | Food Chemistry2007，105，4： | 1 |
| 4 | A framework on task configuration and execution for distributed geographical simulation显示文摘Geographical simulation is a popular method in geographical and environmental research.Many models developed to address geographic and environmental issues are distributed worldwide.However,due to the lack of portals,these models are still difficult to invoke for geographical simulations in open web environments.This study designs and develops a framework to assemble service-oriented models from volunteers distributed worldwide for geographical simulations on the web.The framework consists of three layers(task layer,data exchange layer,and model execution layer)that establish a network of serviceoriented locally shared models and simulation tasks for user configurations.With the help of such a framework,users can configure simulation tasks and invoke suitable models shared worldwide for geographical simulations.This article provides an application of the distributed simulation of gross primary production(GPP)by the Biome-BioGeochemical Cycles(BGC)model in China.This application shows that the framework can be beneficial for model assembly from volunteers’computers and distributed simulation tasks that are run for geographical and environmental issues,which can be applied to Digital Earth initiatives. | Fengyuan Zhang Min Chen Ming Wang Zihuan Wang Shuo Zhang Songshan Yue Yongning Wen Guonian Lü | 2021 | International Journal of Digital Earth2021，14，9： | 1 |
| 5 | A new academic impact metric for evaluating geographic simulation models显示文摘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. | 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 | 2022 | International Journal of Digital Earth2022，15，1： | 0 |
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