面向大范围实时数据的动态船舶矢量标绘方法

船舶可视化和分析在现代航海管理领域中发挥着重要作用。鉴于目前主流的船舶符号栅格表达方式存在失真、不易交互等弊端,本文提出一种面向大范围船舶实时动态数据的矢量标绘方法。基于时空GIS技术实时接入船舶数据流,创建一个不断更新的船舶要素服务;在前端通过WebSocket建立与服务间的双向通信,低时延获取最新船舶定位信息;并结合多空间尺度表达规则和标绘算法进行符号重绘,实现对船舶位置、尺寸、航向在不同显示级别下的精确表达。测试证明,该方法可以有效支撑较大地理范围内船舶数据的动态可视化,满足船舶避碰、海事管理和应用分析的需要。     

轨迹大数据云存储与热力图生成方法

针对目前轨迹大数据基于WebGIS的热力图展示中的成图耗时较长、用户移动缩放交互差等问题,本文建立了基于HBase的轨迹数据与地图数据存储模型,为轨迹大数据在电子地图上进行热力图展示提供了存储方法,同时提出一种基于聚类处理的轨迹数据热力图可视化方法,针对不同缩放级别能够有效地减少数据绘制计算量与数据传输量,较大地提升了热力图渲染与展示的效率。试验证明,该方案能够实现轨迹数据、电子地图数据的存储,提高热力图可视化绘制效率,能够为轨迹数据挖掘与分析提供技术支撑。     

无序航空遥感影像的三维地形重建

无序航空影像的三维重建是摄影测量和计算机视觉领域研究的热点问题。提出一种可以不依赖任何辅助信息,由无序航空遥感影像全自动重建三维地形模型的算法流程。实验通过3组具有代表性的影像数据集验证了该方法的有效性和适用性。对重建后的三维地形模型的绝对精度检验表明,该方法重建的三维模型不仅具有较高的平面精度,而且当影像的基高比较好时,也可以获得较高的高程精度。     

基于河长制的黄河流域水环境地图可视化

黄河流域的生态保护和高质量发展在2019年上升为国家重大战略。以黄河流域为研究区域,以河长制的工作内容为导向,全面研讨区域内水污染空间分布规律、动态变化规律及其与社会经济的相关性。依据专题地图理论,探讨以专题地图方式进行可视化表达的方法,建设性地提出了从数据处理分析到制图可视化的研究思路,并设计绘制了黄河流域水环境专题地图。     

遥感影像三维可视化在新疆西昆仑区域地质调查中的应用

综合应用“3S”技术、遥感数字影像处理技术、虚拟现实等,通过遥感影像的几何校正、影像数据融合、高精度DEM生成和影像复合等技术,实现了新疆西昆仑地区遥感影像三维可视化。将遥感影像三维可视化及其影像动态分析运用于新疆西昆仑区域地质调查（1∶5万）工作,可提高地质填图效率、丰富地质填图成果     

基于新闻数据的新冠疫情事件下“全球-中国”国际关系变化分析方法

在新冠疫情的冲击下,国际关系错综复杂、瞬息万变,不稳定性不确定性剧增。全面及时地分析“全球-中国”国际关系变化特征,对于中国的外交发展规划具有重要的参考价值。复杂的国际关系可以分解为一系列事件单元,新闻数据中蕴含了时间、地点、人物、事物等关键信息,是构建事件的最直接、最全面的信息来源。本文以GDELT（Global Database of Events, Language, and Tone）新闻事件数据库为数据源,基于“全球-中国”的视角,利用2020年1—5月全球疫情相关新闻数据,研究新冠疫情事件背景下的国际关系的变化。本文首先以事件数量、事件强度值和事件被提及数作为关键变量,提出了国际关系的分类表达和计算模型,解决了国际关系表达模糊和难以计算的问题。然后从时空可视化角度展示疫情下国际关系的变化特征,并结合疫情期间的国际重要事件,进一步分析引起国际关系变化的原因。研究表明,采用本文方法能精确掌握新冠疫情下“全球—中国”国际关系的发展程度,发现“全球-中国”国际关系的变化规律和变化原因,具有重要的应用价值。本文的研究可以为大数据时代的国际关系研究提供一个新的视角,同时也为新闻数据的分析提供参考。     

基于势能信息熵的黄土小流域地貌演化特征

黄土高原流域地貌系统的地貌演化特征十分复杂,尚有诸多科学问题有待进一步深入研究。以往研究大多集中在流域地貌演化的侵蚀和发育特征等某一方面,缺乏从流域地貌系统及其势能信息熵的视角深入剖析野外多岩土层黄土小流域地貌演化特征的研究。为此,基于系统论的观点和方法,构建多岩土层黄土小流域地貌系统及其势能信息熵的数学模型,并以辛店沟小流域为例,对其地貌演化特征进行研究。结果表明：（1）构建的野外多岩土层黄土小流域地貌系统的概念模型及其势能信息熵的数学模型能够有效对辛店沟小流域进行数值模拟。（2）以黄土侵蚀作用为主的辛店沟小流域从2000—2019年的地貌演化过程是其势能信息熵的熵减过程和黄土地貌不断侵蚀的过程。（3）辛店沟小流域的势能信息熵能较好地反映该小流域的地貌演化阶段和地貌侵蚀过程。     

Analyzing the commercial activities of a street network by ranking their nodes: a case study in Murcia,Spain

Urban researchers and planners are often interested in understanding how economic activities are distributed in urban regions, what forces influence their special pattern and how urban structure and functions are mutually dependent. In this paper, we want to show how an algorithm for ranking the nodes in a network can be used to understand and visualize certain commercial activities of a city. The first part of the method consists of collecting real information about different types of commercial activities at each location in the urban network of the city of Murcia, Spain. Four clearly differentiated commercial activities are studied, such as restaurants and bars, shops, banks and supermarkets or department stores, but obviously we can study other. The information collected is then quantified by means of a data matrix, which is used as the basis for the implementation of a PageRank algorithm which produces a ranking of all the nodes in the network, according to their significance within it. Finally, we visualize the resulting classification using a colour scale that helps us to represent the business network.     

复杂地形对长江流域太阳总辐射的影响(英文)

Global solar radiation(GSR) is the most direct source and form of global energy, and calculation of its quantity is highly complex due to influences of local topography and terrain inter-shielding. Digital elevation model(DEM) data as a representation of the complex terrain and multiplicity condition produces a series of topographic factors(e.g. slope, aspect, etc.). Based on 1 km resolution DEM data, meteorological observations and NOAA-AVHRR remote sensing data, a distributed model for the calculation of GSR over rugged terrain within the Yangtze River Basin has been developed. The overarching model permits calculation of astronomical solar radiation for rugged topography and comprises a distributed direct solar radiation model, a distributed diffuse radiation model and a distributed terrain reflectance radiation model. Using the developed model, a quantitative simulation of the GSR space distribution and visualization has been undertaken, with results subsequently analyzed with respect to locality and terrain. Analyses suggest that GSR magnitude is seasonally affected, while the degree of influence was found to increase in concurrence with increasing altitude. Moreover, GSR magnitude exhibited clear spatial variation with respect to the dominant local aspect; GSR values associated with the sunny southern slopes were significantly greater than those associated with shaded slopes. Error analysis indicates a mean absolute error of 12.983 MJm-2 and a mean relative error of 3.608%, while the results based on a site authentication procedure display an absolute error of 22.621 MJm-2 and a relative error of 4.626%.     

Terrain data compression using wavelet-tiled pyramids for online 3D terrain visualization

Last years have witnessed the widespread use of online terrain visualization applications. However, the significant improvements achieved in sensing technologies have allowed an increasing size of the terrain databases. These increasing sizes represent a serious drawback when terrain data must be transmitted and rendered at interactive rates. In this paper, we propose a novel wavelet-tiled pyramid for compressing terrain data that replaces the traditional multiresolution pyramid usually used in wavelet compression schemes. The new wavelet-tiled pyramid modifies the wavelet analysis and synthesis processes, allowing an efficient transmission and reconstruction of terrain data in those applications based on multiresolution tiled pyramids. A comparative performance evaluation with the currently existing techniques shows that the proposed scheme obtains a better compression ratio of the terrain data, reducing the storage space and transmission bandwidth required, and achieving a better visual quality of the virtual terrain reconstructed after data decompression.