共查询到20条相似文献，搜索用时 46 毫秒
1.
The complexity of climate information, particularly as related to climate scenarios, impacts, and action alternatives, poses significant challenges for science communication. This study presents a geographic visualization approach involving lay audiences to address these challenges. VisAdapt™ is a web-based visualization tool designed to improve Nordic homeowners’ understanding of climate change vulnerability and to support their adaptive actions. VisAdapt is structured to enable individual users to explore several climate change impact parameters, including temperature and precipitation, for their locations and to find information on specific adaptation measures for their house types and locations. The process of testing the tool included a focus group study with homeowners in Norway, Denmark, and Sweden to assess key challenges in geographic visualization, such as the level of interactivity and information. The paper concludes that geographic visualization tools can support homeowners’ climate adaptation processes, but that certain features, such as downscaled climate information are a key element expected by users. Although the assessment of interactivity and data varied both across countries and user experience, a general conclusion is that a geographic visualization tool, like VisAdapt, can make climate change effects and adaptation alternatives tangible and initiate discussions and collaborative reflections. 相似文献
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Advances in the Google Earth virtual globe and the concomitant Keyhole Markup Language (KML) are providing educators with a convenient platform to cultivate and assess one’s place location knowledge (PLK). This article presents a general framework and associated implementation methods for the online testing of PLK using Google Earth. The proposed framework and associated implementations can be easily exported to other applications that help assess geographic knowledge, engaging users with content from the physical environment and human systems at both local and global scales in a 3-D virtual-globe environment. 相似文献
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Mengyun Zhou Jianya Gong 《International journal of geographical information science》2016,30(11):2208-2229
Polygonal vector data are important for representing countries, lakes, residential settlements, and other polygonal features. The proper representation of polygonal vector data is the basis of efficient rendering and picking and quick access and display of the analysis results based on polygons (e.g., 3D overlaying and surface area measurement in mountainous areas) in a virtual globe. However, polygonal vector data are displayed using texture-based or boundary-based approaches in most existing virtual globes. The texture-based approach cannot easily support interactive operations (e.g., picking) and spatial analysis (e.g., adjacency analysis and spatial measurement). The boundary-based approach treats the holes as independent features; however, it is difficult to recognize which boundaries constitute a polygon. Further research is needed on how to better organize the polygons to support efficient rendering, picking, and analysis in a virtual globe. In this article, we propose two methods to drape interior filled 2D polygons onto a multi-resolution 3D terrain. Both proposed methods combine polygon clipping and polygon triangulation. The difference between the two methods is in the way holes are eliminated. Method 1 recursively subdivides a terrain triangle until the child-triangles contain no holes; every resulting clipped polygon, which is then triangulated, contains no holes. Method 2 directly clips a polygon against a terrain triangle and creates bridge edges to transform the resulting polygons with holes to degenerate polygons that are further triangulated. The experimental results demonstrate that both proposed methods can efficiently process polygons with holes resulting in appropriate numbers of triangles. The processed interior-filled polygons remain close to the terrain surface in a virtual globe. Both proposed methods support real-time rendering of polygonal vector data in a virtual globe. 相似文献
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Jing Li Tong Zhang Qing Liu Manzhu Yu 《International journal of geographical information science》2017,31(1):168-189
The continually increasing size of geospatial data sets poses a computational challenge when conducting interactive visual analytics using conventional desktop-based visualization tools. In recent decades, improvements in parallel visualization using state-of-the-art computing techniques have significantly enhanced our capacity to analyse massive geospatial data sets. However, only a few strategies have been developed to maximize the utilization of parallel computing resources to support interactive visualization. In particular, an efficient visualization intensity prediction component is lacking from most existing parallel visualization frameworks. In this study, we propose a data-driven view-dependent visualization intensity prediction method, which can dynamically predict the visualization intensity based on the distribution patterns of spatio-temporal data. The predicted results are used to schedule the allocation of visualization tasks. We integrated this strategy with a parallel visualization system deployed in a compute unified device architecture (CUDA)-enabled graphical processing units (GPUs) cloud. To evaluate the flexibility of this strategy, we performed experiments using dust storm data sets produced from a regional climate model. The results of the experiments showed that the proposed method yields stable and accurate prediction results with acceptable computational overheads under different types of interactive visualization operations. The results also showed that our strategy improves the overall visualization efficiency by incorporating intensity-based scheduling. 相似文献
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Vincent Jaillot Sylvie Servigne Gilles Gesquière 《International journal of geographical information science》2020,34(10):2030-2052
ABSTRACT Studying and planning urban evolution is essential for understanding the past and designing the cities of the future and can be facilitated by providing means for sharing, visualizing, and navigating in cities, on the web, in space and in time. Standard formats, methods, and tools exist for visualizing large-scale 3D cities on the web. In this paper, we go further by integrating the temporal dimension of cities in geospatial web delivery standard formats. In doing so, we enable interactive visualization of large-scale time-evolving 3D city models on the web. A key characteristic of this paper lies in the proposed four-step generic approach. First, we design a generic conceptual model of standard formats for delivering 3D cities on the web. Then, we formalize and integrate the temporal dimension of cities into this generic conceptual model. Following which, we specify the conceptual model in the 3D Tiles standard at logical and technical specification levels, resulting in an extension of 3D Tiles for delivering time-evolving 3D city models on the web. Finally, we propose an open-source implementation, experiments, and an evaluation of the propositions and visualization rules. We also provide access to reproducibility notes allowing researchers to replicate all the experiments. 相似文献
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虚拟地形环境在游戏、仿真、虚拟现实等领域有广泛的应用,在网络环境下如何进行海量地形数据的三维表达与传输是目前研究的重点。基于对等思想提出一种适合大规模地形漫游的分布式网络结构,充分发挥客户机的作用,从而有效地减少服务器负载,采用多点下载数据,提高地形数据的传输速度。同时研究该网络结构下多点下载模型、数据预处理、数据流程和视点相关的LOD简化算法,实现网络环境下大规模地形实时漫游。实验结果表明,在分布式网络环境下,该文中提出的方案可实现大规模地形实时漫游。 相似文献
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Zhenlong Li Qunying Huang Yuqin Jiang Fei Hu 《International journal of geographical information science》2020,34(6):1188-1209
ABSTRACTBig climate data offers great opportunities for scientific discovery but demands efficient and effective analytics to investigate unknown and complex patterns. Most existing online processing and analytics systems for climate studies only support fixed user interface with predefined functions. These systems are often not scalable to handle massive climate data that could easily accumulate terabytes daily. To address the major limitations of existing online systems for climate studies, this paper presents a scalable online visual analytic system, known as SOVAS, to balance both usability and flexibility. SOVAS, enabled by a set of key techniques, supports large-scale climate data analytics and knowledge discovery in a scalable and sharable environment. This research not only contributes to the community an efficient tool for analyzing big climate data but also contributes to the literature by providing valuable technical references for tackling spatiotemporal big data challenges. 相似文献
10.
Web-based Geographical Information Systems (GIS) are excellent tools within interdisciplinary and multi-national geoscience
projects to exchange and visualize project data. The web-based GIS presented in this paper was designed for the paleolimnological
project ‘High-resolution CONTINENTal paleoclimate record in Lake Baikal’ (CONTINENT) (Lake Baikal, Siberia, Russia) to allow
the interactive handling of spatial data. The GIS database combines project data (core positions, sample positions, thematic
maps) with auxiliary spatial data sets that were downloaded from freely available data sources on the world wide web. The
reliability of the external data was evaluated and suitable new spatial datasets were processed according to the scientific
questions of the project. GIS analysis of the data was used to assist studies on sediment provenance in Lake Baikal, or to
help answer questions such as whether the visualization of present-day vegetation distribution and pollen distribution supports
the conclusions derived from palynological analyses. The refined geodata are returned back to the scientific community by
using online data publication portals. Data were made citeable by assigning persistent identifiers (DOI) and were published
through the German National Library for Science and Technology (TIB Hannover, Hannover, Germany). 相似文献
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地学知识可视化概念特征与研究进展 总被引：1，自引：0，他引：1
地学知识可视化是将知识可视化研究的理论、技术、方法引入地学研究领域,形成一个新的研究方向。通过分析地学知识可视化国内外研究现状,在总结其研究特点的基础上,对地学知识可视化的定义进行阐述,讨论其概念特征、理论基础以及表达方法,并对其应用研究现状与发展趋势进行概括总结。 相似文献
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基于VisIt的全球科学数据并行可视化——以大气温度场为例 总被引：1，自引：0，他引：1
针对当前大规模全球科学数据可视化中存在的单机可视化数据量有限、从底层开发并行可视化系统难度大等问题,该文基于分布式环境和VisIt,提出了一种简便、开放而又有效的大规模全球科学数据可视化方法。介绍了VisIt的体系结构及运行机制,给出了自定义数据的并行可视化方法;并基于NCEP数据集及全球空间格网,在小规模集群环境下实现了小粒度适应性球体退化八叉树格网(SDOG)下的全球大气温度场的并行可视化。VisIt的并行可视化性能测试结果表明:通过增加计算节点,VisIt能有效摆脱传统单机可视化对数据量的限制,可实现大规模全球科学数据的并行可视化。 相似文献
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将GIS技术、网络技术及多媒体技术引入城市投资环境咨询与决策领域,研建武汉市投资环境咨询系统W(IECS)。WIECS针对不同用户对象有不同功能目标;系统建立需解决三大关键技术:数据库设计,包括文本库、要素库、评价结果库、方案库、模型方法库和空间信息库的设计及其整合;系统集成,基于CS/结构进行集成,使得信息从单向流动变为双向互动;分析模型及可视化技术,WIECS作为咨询分析与辅助决策支持工具,可提供良好的数据处理分析与建模工具,并实现分析与评价的可视化。根据系统功能目标,技术路线上采用GIS、Internet、Intranet及多媒体可视化等技术进行系统集成,建立图文库一体化的系统WIECS。 相似文献
14.
基于Hoops的钻孔三维可视化技术研究 总被引：1，自引：0，他引：1
在矿体三维可视化建模过程中,钻孔和品位的三维可视化是其关键步骤之一,该文引进三维图形引擎库Hoops,采用Windows编程语言VC实现了钻孔轨迹及其品位分布三维可视化组件,为开发矿体的三维实体模拟软件系统奠定基础。工程应用表明,该组件性能稳定,能够精准地模拟实际钻孔分布情况。 相似文献
15.
Mingqiang Guo Zhong Xie Liang Wu Xiangang Luo Ying Huang 《International journal of geographical information science》2013,27(8):1419-1440
With the wide adoption of big spatial data and the emergence of CyberGIS, the nontrivial computational intensity introduced by massive amount of data poses great challenges to the performance of vector map visualization. The parallel computing technologies provide promising solutions to such problems. Evenly decomposing the visualization task into multiple subtasks is one of the key issues in parallel visualization of vector data. This study focuses on the decomposition of polyline and polygon data for parallel visualization. Two key factors impacting the computational intensity were identified: the number of features and the number of vertices of each feature. The computational intensity transform functions (CITFs) were constructed based on the linear relationships between the factors and the computing time. The computational intensity grid (CIG) can then be constructed using the CITFs to represent the spatial distribution of computational intensity. A noninterlaced continuous space-filling curve is used to group the lattices of CIG into multiple sub-domains such that each sub-domain entails the same amount of computational intensity as others. The experiments demonstrated that the approach proposed in this paper was able to effectively estimate and spatially represent the computational intensity of visualizing polylines and polygons. Compared with the regular domain decomposition methods, the new approach generated much more balanced decomposition of computational intensity for parallel visualization and achieved near-linear speedups, especially when the data is greatly heterogeneously distributed in space. 相似文献
16.
大规模地形实时绘制算法 总被引：8，自引：3，他引：5
该文提出一种适合大规模地形实时绘制的简单高效的LOD简化算法。该算法使用一种紧凑有效的规则网格表示方法,优化网格节点的数目,减少可视化过程中的计算量,降低额外内存开销。探讨该算法相关的数据组织、视域裁剪、LOD层次选择、裂缝消除、三角形化等关键问题。实验结果表明,该算法实现简单,内存开销较少,CPU耗费小,对图形卡要求低,能够在普通机器上实现大规模地形的实时漫游。 相似文献
17.
Mingwei Liu Qing Zhu Hua Qi Lingzhi Yin Xiang Zhang 《International journal of geographical information science》2017,31(9):1891-1906
Simulation and subsequent visualization in a network environment are important to glean insights into spatiotemporal processes. As computing systems become increasingly diverse in hardware architectures, operating systems, screen sizes, human–computer interactions and network capabilities, effective simulation and visualization must become adaptive to a wide range of diverse devices. This paper focuses on the optimization of simulation and visualization analysis of the dam-failure flood spatiotemporal process for diverse computing systems. First, an adaptive browser/server architecture of the dam-failure simulation application was designed to fill the hardware performance and visualization context gap that exists within diverse computing systems. Second, a data flow and an optimization method for multilevel time-series flood data were given to provide more support to network simulation, visualization and analysis on diversified terminals. Finally, a user interaction friendly and plugin-free prototype system was developed. The experiment results demonstrate that the methods addressed in this paper can cope with the challenge in simulation, visualization and interaction of a dam-failure simulation application on diversified terminals. 相似文献
18.
生计脆弱性研究热点与前沿的可视化 总被引：4，自引：3，他引：1
以Web of science核心数据库中1991~2015年间收录主题为“livelihood vulnerability”的文献为基础,应用可视化分析软件CiteSpace Ⅲ,采取关键词共现分析、文献共被引分析、突现词分析等方法对生计脆弱性研究现状进行可视化分析。研究发现：① 生计脆弱性研究文献呈现逐年上升趋势,主要分布在生态、环境和管理等学科领域;美、英、澳、加、德5国及东英格兰大学、哥本哈根大学、麦吉尔大学、利兹大学、萨塞克斯大学等研究机构具有较强的研究实力。② Ellis F、Smit B、Adger W N、Kelly P M、Davies S和Turner B L等学者及其代表作是生计脆弱性研究的知识基础。③ 饥荒、社会生态系统、生计策略、贫困、减贫等是生计脆弱性的研究热点与前沿领域。 相似文献
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BRYAN G. TALBOT ROBERT E. PETERSON 《International journal of geographical information science》2013,27(8):747-762
Many scientific applications employ computer graphics as a means of interactively visualizing two-dimensional geophysical data sets. This paper presents an algorithm for improving rendering performance by using an image segmentation approach to reduce the number of rendered polygons while maintaining complete display fidelity. Though applied here specifically to the output from a numerical ionosphere model, the algorithm is broadly applicable to many other two-dimensional cellular data sets, geophysical and otherwise. In an ionospheric context, this algorithm demonstrates the ability to reduce the number of rendered polygons by 95 per cent or more with a corresponding reduction in rendering time. 相似文献
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Alan Kwok Lun Cheung David O’sullivan Gary Brierley 《International journal of geographical information science》2013,27(4):580-605
The structure of computational spatial analysis has mostly built on data lattices inherited from cartography, where visualization of information takes priority over analysis. In these framings, spatial relationships cannot easily be encoded into traditional data lattices. This hinders spatial analysis that emphasizes how interactions among spatial entities reflect mutual inter-relationships. This paper explores how graph theoretic principles can support spatiotemporal analysis by enabling assessment of spatial and temporal relationships in landscape monitoring. 相似文献