Integration of Generalisation Operators for Vegetation Maps Based on Bio-Geographical Principles

IF 2.1 Q3 REMOTE SENSING
L. Pun-Cheng, Z. Li, W. Gao
{"title":"Integration of Generalisation Operators for Vegetation Maps Based on Bio-Geographical Principles","authors":"L. Pun-Cheng, Z. Li, W. Gao","doi":"10.1080/00690805.2003.9714250","DOIUrl":null,"url":null,"abstract":"Two serious problems that often arise in map generalization are “what should be aggregated” and “when to aggregate”. This very much depends on the knowledge of the theme to be mapped. In the case of vegetation mapping at different scales, some inherent rules on vegetation, such as their biological characteristics and spatial distribution, must be incorporated in addition to existing generalisation algorithms, so that automated generalisation can be achieved. This paper describes the development of such rules based on bio-geographical principles for the implementation of existing generalisation operators and, in particular, the integration of these operators.","PeriodicalId":44129,"journal":{"name":"Geodesy and Cartography","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geodesy and Cartography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/00690805.2003.9714250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"REMOTE SENSING","Score":null,"Total":0}
引用次数: 0

Abstract

Two serious problems that often arise in map generalization are “what should be aggregated” and “when to aggregate”. This very much depends on the knowledge of the theme to be mapped. In the case of vegetation mapping at different scales, some inherent rules on vegetation, such as their biological characteristics and spatial distribution, must be incorporated in addition to existing generalisation algorithms, so that automated generalisation can be achieved. This paper describes the development of such rules based on bio-geographical principles for the implementation of existing generalisation operators and, in particular, the integration of these operators.
基于生物地理原理的植被图概化算子集成
在地图综合中经常出现的两个严重问题是“应该聚合什么”和“何时聚合”。这在很大程度上取决于要映射的主题的知识。在不同尺度的植被制图中,除了现有的概化算法外,还必须结合植被的生物特性、空间分布等固有规律,实现自动概化。本文描述了基于生物地理原理的这些规则的发展,以实现现有的泛化算子,特别是这些算子的集成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Geodesy and Cartography
Geodesy and Cartography REMOTE SENSING-
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
15 weeks
期刊介绍: THE JOURNAL IS DESIGNED FOR PUBLISHING PAPERS CONCERNING THE FOLLOWING FIELDS OF RESEARCH: •study, establishment and improvement of the geodesy and mapping technologies, •establishing and improving the geodetic networks, •theoretical and practical principles of developing standards for geodetic measurements, •mathematical treatment of the geodetic and photogrammetric measurements, •controlling and application of the permanent GPS stations, •study and measurements of Earth’s figure and parameters of the gravity field, •study and development the geoid models,
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信