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数字界面微观信息结构的有序度分析 被引量:3
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作者 周蕾 薛澄岐 +2 位作者 王海燕 Yingjie Victor Chen 牛亚峰 《东南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2016年第6期1209-1213,共5页
针对数字界面人机交互过程中的信息流畅性问题,提出从微观信息结构出发运用熵理论对信息结构的有序度进行定量分析.首先,指出微观信息结构由2类信息元和3种典型的信息关系组成;其次,提出信息结构的时效熵和质效熵的计算方法,用来度量数... 针对数字界面人机交互过程中的信息流畅性问题,提出从微观信息结构出发运用熵理论对信息结构的有序度进行定量分析.首先,指出微观信息结构由2类信息元和3种典型的信息关系组成;其次,提出信息结构的时效熵和质效熵的计算方法,用来度量数字界面信息结构的有序度;最后,选择手机界面这一典型的数字界面为例,构建了3种不同的App布局,进行信息结构的有序度计算.认知实验结果表明,有序度高的信息结构具有直观方便、分区有规律等特点,比较容易记忆;而有序度低的信息结构搜索路径复杂,记忆效果较差,且耗时较多.数字界面微观信息结构的有序度与用户的认知绩效相关,可以作为界面设计效果的评价指标. 展开更多
关键词 数字界面 微观结构 有序度 质效熵
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Assessment of Urban Air Pollution and Spatial Spillover Effects in China: Cases of 113 Key Environmental Protection Cities 被引量:15
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作者 GONG Zezhou ZHANG Xiaoping 《Journal of Resources and Ecology》 CSCD 2017年第6期584-594,共11页
With rapid urbanization and energy consumption, environmental pollution and degradation have become increasingly serious problems in China. At the beginning of 2013, China implemented new ambient air quality standards... With rapid urbanization and energy consumption, environmental pollution and degradation have become increasingly serious problems in China. At the beginning of 2013, China implemented new ambient air quality standards(GB 3095-2012) in which the concentration of six pollutants including PM2.5, ozone, carbon monoxide, PM10, sulfur dioxide and nitrogen dioxide were monitored. This study gathered annual air pollutant concentration data for the six pollutants in 113 key environmental protection cites throughout China in 2014 and 2015 to explain spatial patterns of urban air pollution. Based on the Kernel density estimation method, spatial hotspots of air pollution were illustrated through which spatial cluster of each pollutants could be plotted. By employing an entropy evaluation system, urban air quality was assessed in terms of the six atmospheric pollutants. We conclude that, in general, CO and SO2 were two important pollutants in most Chinese cities, but this varied greatly among cities. The assessment results indicate that cities with the worst air quality were mainly located in northern and central provinces, dominantly in the Beijing-Tianjin-Hebei metropolitan area. Regression modeling showed that a combination of meteorological factors and human-related determinants, to say specifically, industrialization and urbanization factors, greatly influenced urban air quality variation in China. Results from spatial lag regression modeling confirmed that air pollution existed obvious spatial spillover effects among key cities. The spatial interdependence effects of urban air quality means that Chinese municipal governments should strengthen regional cooperation and deepen bilateral collaboration in terms of air regulation and pollution prevention. 展开更多
关键词 urban air quality entropy assessment spatial spillover China
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