Legacy Geospatial Data Technologies

Manolis Koubarakis, D. Pantazi
{"title":"Legacy Geospatial Data Technologies","authors":"Manolis Koubarakis, D. Pantazi","doi":"10.1145/3581906.3581910","DOIUrl":null,"url":null,"abstract":"dard for encoding geospatial data. These have been used by the query languages GeoSPARQL, stSPARQL, and GeoSPARQL+ that we will present in Chapter 7. We also present popular geospatial data formats in which geospatial data have histor­ ically been made available (shapefiles, GeoTIFF files, and NetCDF files). Finally, we discuss the functionality offered by two kinds of very successful geospatial technologies that came before the technologies presented in this book: geospa­ tial relational DBMS and GIS systems. One can see the technologies presented in this book as an alternative to these legacy technologies or as technologies that can coexist with them. Both of these approaches are explored in later chapters. Like Chapter 2, this chapter is also a background chapter that can be skipped by readers that are familiar with the material presented. Legacy Geospatial Data Technologies","PeriodicalId":433742,"journal":{"name":"Geospatial Data Science","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geospatial Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3581906.3581910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

dard for encoding geospatial data. These have been used by the query languages GeoSPARQL, stSPARQL, and GeoSPARQL+ that we will present in Chapter 7. We also present popular geospatial data formats in which geospatial data have histor­ ically been made available (shapefiles, GeoTIFF files, and NetCDF files). Finally, we discuss the functionality offered by two kinds of very successful geospatial technologies that came before the technologies presented in this book: geospa­ tial relational DBMS and GIS systems. One can see the technologies presented in this book as an alternative to these legacy technologies or as technologies that can coexist with them. Both of these approaches are explored in later chapters. Like Chapter 2, this chapter is also a background chapter that can be skipped by readers that are familiar with the material presented. Legacy Geospatial Data Technologies
传统地理空间数据技术
地理空间数据编码标准。我们将在第7章中介绍的查询语言GeoSPARQL、stSPARQL和GeoSPARQL+已经使用了这些语言。我们还介绍了流行的地理空间数据格式,其中地理空间数据在历史上是可用的(shapefiles、GeoTIFF文件和NetCDF文件)。最后,我们讨论了在本书介绍的技术之前出现的两种非常成功的地理空间技术所提供的功能:地理关系数据库管理系统和地理信息系统。您可以将本书中介绍的技术视为这些遗留技术的替代方案,或者视为可以与它们共存的技术。这两种方法将在后面的章节中探讨。和第2章一样,这一章也是背景章节,熟悉本文内容的读者可以跳过。传统地理空间数据技术
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
自引率
0.00%
发文量
0
×
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