基于采样的Web地图绘图曲线多层次表示方法

Wenze Luo, Ye Wu, Luo Chen, N. Jing
{"title":"基于采样的Web地图绘图曲线多层次表示方法","authors":"Wenze Luo, Ye Wu, Luo Chen, N. Jing","doi":"10.1109/GEOINFORMATICS.2018.8557094","DOIUrl":null,"url":null,"abstract":"With the development of the Internet and the enhanced rendering ability of browser end, electronic map based on the Internet, which is called web map, has been visited and plotted by more and more users. Normally, the representation of the plotting results such as the markers and curves are changed with the map level, and the traditional method is to take a strategy to select the composition points. In this paper, instead, an adaptive sampling method of plotting curves which preserves the characteristic points is proposed and a relationship between map level and the number of sampling points is established based on the Radical Law in cartography. Experiments are conducted to compare the proposed sampling method with others to validate the simplicity and accuracy. The result indicates that the proposed method can realize the sampling of plotting curves on the web map at different levels in terms of simplicity and accuracy for the multi-level representation.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sampling-Based Multi-Level Representation of Plotting Curves on Web Map\",\"authors\":\"Wenze Luo, Ye Wu, Luo Chen, N. Jing\",\"doi\":\"10.1109/GEOINFORMATICS.2018.8557094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of the Internet and the enhanced rendering ability of browser end, electronic map based on the Internet, which is called web map, has been visited and plotted by more and more users. Normally, the representation of the plotting results such as the markers and curves are changed with the map level, and the traditional method is to take a strategy to select the composition points. In this paper, instead, an adaptive sampling method of plotting curves which preserves the characteristic points is proposed and a relationship between map level and the number of sampling points is established based on the Radical Law in cartography. Experiments are conducted to compare the proposed sampling method with others to validate the simplicity and accuracy. The result indicates that the proposed method can realize the sampling of plotting curves on the web map at different levels in terms of simplicity and accuracy for the multi-level representation.\",\"PeriodicalId\":142380,\"journal\":{\"name\":\"2018 26th International Conference on Geoinformatics\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 26th International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GEOINFORMATICS.2018.8557094\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 26th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着互联网的发展和浏览器端渲染能力的增强,基于互联网的电子地图被称为web地图,被越来越多的用户访问和绘制。通常情况下,标线、曲线等绘图结果的表示形式会随着地图层次的变化而变化,传统的方法是采取策略选择构图点。本文提出了一种保留特征点的绘图曲线自适应采样方法,并基于地图学中的激进定律建立了地图水平与采样点数量的关系。通过实验将该方法与其他方法进行了比较,验证了该方法的简单性和准确性。结果表明,该方法在简单性和精度上都能实现对网络地图上不同层次的绘图曲线的采样,从而实现多层次的表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Sampling-Based Multi-Level Representation of Plotting Curves on Web Map
With the development of the Internet and the enhanced rendering ability of browser end, electronic map based on the Internet, which is called web map, has been visited and plotted by more and more users. Normally, the representation of the plotting results such as the markers and curves are changed with the map level, and the traditional method is to take a strategy to select the composition points. In this paper, instead, an adaptive sampling method of plotting curves which preserves the characteristic points is proposed and a relationship between map level and the number of sampling points is established based on the Radical Law in cartography. Experiments are conducted to compare the proposed sampling method with others to validate the simplicity and accuracy. The result indicates that the proposed method can realize the sampling of plotting curves on the web map at different levels in terms of simplicity and accuracy for the multi-level representation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on Dynamic Evaluation of Urban Community Livability Based on Multi-Source Spatio-Temporal Data Hotspots Trends and Spatio-Temporal Distributions for an Investigative in the Field of Chinese Educational Technology Congestion Detection and Distribution Pattern Analysis Based on Spatiotemporal Density Clustering Spatial and Temporal Analysis of Educational Development in Yunnan on the Last Two Decades A Top-Down Application of Multi-Resolution Markov Random Fields with Bilateral Information in Semantic Segmentation of Remote Sensing Images
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1