ImageVerifierCode 换一换
格式:PPT , 页数:26 ,大小:683KB ,
资源ID:379345      下载积分:2000 积分
快捷下载
登录下载
邮箱/手机:
温馨提示:
快捷下载时,用户名和密码都是您填写的邮箱或者手机号,方便查询和重复下载(系统自动生成)。 如填写123,账号就是123,密码也是123。
特别说明:
请自助下载,系统不会自动发送文件的哦; 如果您已付费,想二次下载,请登录后访问:我的下载记录
支付方式: 支付宝扫码支付 微信扫码支付   
验证码:   换一换

加入VIP,免费下载
 

温馨提示:由于个人手机设置不同,如果发现不能下载,请复制以下地址【http://www.mydoc123.com/d-379345.html】到电脑端继续下载(重复下载不扣费)。

已注册用户请登录:
账号:
密码:
验证码:   换一换
  忘记密码?
三方登录: 微信登录  

下载须知

1: 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。
2: 试题试卷类文档,如果标题没有明确说明有答案则都视为没有答案,请知晓。
3: 文件的所有权益归上传用户所有。
4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
5. 本站仅提供交流平台,并不能对任何下载内容负责。
6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。

版权提示 | 免责声明

本文(Cartographic visualization.ppt)为本站会员(dealItalian200)主动上传,麦多课文库仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知麦多课文库(发送邮件至master@mydoc123.com或直接QQ联系客服),我们立即给予删除!

Cartographic visualization.ppt

1、Cartographic visualization,Dmitry Nekrasovski March 24, 2004,So what is it?,Which of these is a cartographic visualization?,Different maps, same domain,Visualization methods for interacting with geographic information(MacEachren, 1998),Applying cartographic principles to visualization of non-geograp

2、hic information (Skupin, 2000),Why cartographic viz?,Dynamic, interactive visualization of geospatial information F+C, linked highlighting, fluid navigation Spatial visualization of non-geospatial data Cartographic principles,Papers,Cartographic Perspectives on Information Visualization (Skupin, 200

3、0) Where on Earth is the Internet? (Dodge & Shiode, 1998) HealthVis (MacEachren et al., 1998),Map metaphors for non-geo data,Timeline Late 1800s: Intellectual domains (Otlet) 1980s: Early hypertext systems 1990s: Mapping/spatial metaphors in infoviz Cartographic principles rarely applied “Readings i

4、n Infoviz”: 3 references,Scaling,“The major usability problem” Tradeoffs between: Number of features Size of symbols Size of display area Cartographic generalization: Preserve meaning at different scales,Example,Projection,Cartography: 3D-2D Mercator: angular relationships (directions) Peters: relat

5、ive area Infoviz: nD-2D Multi-dimensional scaling (MDS): distance Self-organizing maps (SOM): topology,Labeling,Infoviz issues: Space, label positions, label terms Cartography Conventions to deal with these issues Coastal cities vs. cities near the coast Labels can add meaning to features Labels can

6、 help in evaluating visualizations Terrain visualization with only ridges labeled?,Paper critique,Strong points: Good overview of related issues/ideas in cartographic research Many basic cartographic references Weak points: Few specific guidelines No examples of actual systems When do these ideas no

7、t apply?,Papers,Cartographic Perspectives on Information Visualization (Skupin, 2000) Where on Earth is the Internet? (Dodge & Shiode, 1998) HealthVis (MacEachren et al., 1998),Where on Earth is the Internet?,Internet typically perceived apart from real-world geography Map Internet “real estate” ont

8、o real geospace Where are domains actually located? Possible impacts on cities/areas with high concentration?,Dataset,Domain registration records Not geographically referenced But contain physical contact information Postal codes extracted, mapped to location Also IP address allocation for each doma

9、in Entire UK domain registry as of 1997 10,183 records 44 million allocated IP addresses,Visualization 1,Density surface map Dot = record No context, low information density,Visualization 2,IP address density, more context,Paper critique,Strong points Map metaphor for non-geographic data Real-world

10、dataset Weak points Accuracy: IP allocation vs. actual use No interaction/navigation/filtering No time component No evaluation,Papers,Cartographic Perspectives on Information Visualization (Skupin, 2000) Where on Earth is the Internet? (Dodge & Shiode, 1998) HealthVis (MacEachren et al., 1998),Healt

11、hVis,Exploratory map-based visualization of variations in health statistics Death rates for various causes, risk factors Goal: Spatial and temporal analysis Spatial: easily find regions/clusters Time: compare changes over time Space+time: trends in regions/clusters over time,Linked views,Cross map,A

12、nimation for time series,Demo,Evaluation,Task-based exploration with domain experts Results: Spatial tasks easy with linked highlighting Animation good for noticing time trends Space+time trends more difficult,Paper critique,Strengths: Good analysis of issues in multivariate geographic data exploration Real dataset Detailed qualitative evaluation Weaknesses: Dense, some unclear terminology Effectiveness of cross maps? Evaluation focused on task, not system,Questions?,

copyright@ 2008-2019 麦多课文库(www.mydoc123.com)网站版权所有
备案/许可证编号:苏ICP备17064731号-1