From taxonomies to ontologies: formalizing generalization knowledge for on-demand mapping

Automation of the cartographic design process is central to the delivery of bespoke maps via the web. In this paper, ontological modeling is used to explicitly represent and articulate the knowledge used in this decision-making process. A use case focuses on the visualization of road traffic accident data as a way of illustrating how ontologies provide a framework by which salient and contextual information can be integrated in a meaningful manner. Such systems are in anticipation of web-based services in which the user knows what they need, but do not have the cartographic ability to get what they want.     

自动综合算子分析及算法库的建立

在分析自动综合过程和自动综合系统构成的基础上，指出了自动综合算子库对自动综合的必要性，并以现有的各种综合算子划分为参考，对自动综合算子进行了重新划分，提出了算子库中的算法集合，以此来建立自动综合算子库。     

The effects of visual realism,spatial abilities,and competition on performance in map-based route learning in men

We report on how visual realism might influence map-based route learning performance in a controlled laboratory experiment with 104 male participants in a competitive context. Using animations of a dot moving through routes of interest, we find that participants recall the routes more accurately with abstract road maps than with more realistic satellite maps. We also find that, irrespective of visual realism, participants with higher spatial abilities (high-spatial participants) are more accurate in memorizing map-based routes than participants with lower spatial abilities (low-spatial participants). On the other hand, added visual realism limits high-spatial participants in their route recall speed, while it seems not to influence the recall speed of low-spatial participants. Competition affects participants’ overall confidence positively, but does not affect their route recall performance neither in terms of accuracy nor speed. With this study, we provide further empirical evidence demonstrating that it is important to choose the appropriate map type considering task characteristics and spatial abilities. While satellite maps might be perceived as more fun to use, or visually more attractive than road maps, they also require more cognitive resources for many map-based tasks, which is true even for high-spatial users.     

近20年华北地电阻率异常空间演化及强震短期前兆判别标志研究

开展了华北地电阻率异常参数提取的研究，以1980—2001年的异常参数为输入进行了全时空扫描，并对其动态图像演化做全面分析，由此提取出华北地区5级以上地震的地电阻率短期前兆的判别标志。为了进行初步检验，本文依上述判别标志对华北近年地电阻率动态图像做了对比分析。     

航测数字化成图系统中子系统的研究

本文介绍了航测数字化成图系统中成图子系统的研制情况及相关技术问题。     

基于WebGL的三维符号绘制技术研究

随着社会的进步、时代的发展,人们越来越关注有关部门对应急事件的处理效率和办事效果。面对变化莫测的突发情况、纷繁复杂的任务要求,多部门联合办公成为解决应急事件的关键所在。利用Web GL技术直接调用计算机图形处理器(GPU)进行三维符号的快速绘制,可以实现各部门指挥系统符号的统一并实现跨平台使用,有效提高了有关部门对应急事件的处理效率和办事效果。     

面向GIS的线状符号开放式多元设计方案

提出一种跨越专业限制,用于快速绘制任意曲率曲线的开放式线状符号“组合配置法”设计方案,即用主干线、辅助线、辅助圆和点符号等四种子线型的有机组合描述目标线型,并详细论述了其数据结构、文件结构及子线型的实现方法。同时还提出伪码法用于解决满足国标要求的图廓整饰线,并对裁剪法作了简要阐述。上述线型设计方法已成功设计、实现并应用于“海底地形成图系统(MBChar)”,已服务于大陆架海底成图项目。     

地图数据缩编更新中的道路自动选取研究

总结道路选取的研究现状,分析在道路的缩编更新过程中,道路要素选取需要考虑的要素指标.介绍一种道路选取方法,综合考虑道路的等级、长度、网眼面积、区域道路密度、是否是悬挂链等几何、语义和拓扑信息,模拟人类在缩编更新时的思维过程,实现道路的自动选取,并进行试验,验证方法的有效性.