找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: CyberGIS for Geospatial Discovery and Innovation; Shaowen Wang,Michael F. Goodchild Book 2019 Springer Nature B.V. 2019 CyberGIS.Big data.

[復(fù)制鏈接]
查看: 34535|回復(fù): 59
樓主
發(fā)表于 2025-3-21 19:08:17 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱CyberGIS for Geospatial Discovery and Innovation
編輯Shaowen Wang,Michael F. Goodchild
視頻videohttp://file.papertrans.cn/242/241838/241838.mp4
概述Addresses a comprehensive list of cutting edge topics constituting the scope of CyberGIS.Provides a reference in broad fields of information and computation technologies associated social and spatial
叢書名稱GeoJournal Library
圖書封面Titlebook: CyberGIS for Geospatial Discovery and Innovation;  Shaowen Wang,Michael F. Goodchild Book 2019 Springer Nature B.V. 2019 CyberGIS.Big data.
描述This book elucidates how cyberGIS (that is, new-generation geographic information science and systems (GIS) based on advanced computing and cyberinfrastructure) transforms computation- and data-intensive geospatial discovery and innovation. It comprehensively addresses opportunities and challenges, roadmaps for research and development, and major progress, trends, and impacts of cyberGIS in the era of big data. The book serves as an authoritative source of information to fill the void of introducing this exciting and growing field. By providing a set of representative applications and science drivers of cyberGIS, this book demonstrates how cyberGIS has been advanced to enable cutting-edge scientific research and innovative geospatial application development. Such cyberGIS advances are contextualized as diverse but interrelated science and technology frontiers. The book also emphasizes several important social dimensions of cyberGIS such as for empowering deliberative civic engagement and enabling collaborative problem solving through structured participation. In sum, this book will be a great resource to students, academics, and geospatial professionals for leaning cutting-edge cyb
出版日期Book 2019
關(guān)鍵詞CyberGIS; Big data; Cyberinfrastructure; Geographic information systems and science; Geospatial sciences
版次1
doihttps://doi.org/10.1007/978-94-024-1531-5
isbn_softcover978-94-024-1649-7
isbn_ebook978-94-024-1531-5Series ISSN 0924-5499 Series E-ISSN 2215-0072
issn_series 0924-5499
copyrightSpringer Nature B.V. 2019
The information of publication is updating

書目名稱CyberGIS for Geospatial Discovery and Innovation影響因子(影響力)




書目名稱CyberGIS for Geospatial Discovery and Innovation影響因子(影響力)學(xué)科排名




書目名稱CyberGIS for Geospatial Discovery and Innovation網(wǎng)絡(luò)公開度




書目名稱CyberGIS for Geospatial Discovery and Innovation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱CyberGIS for Geospatial Discovery and Innovation被引頻次




書目名稱CyberGIS for Geospatial Discovery and Innovation被引頻次學(xué)科排名




書目名稱CyberGIS for Geospatial Discovery and Innovation年度引用




書目名稱CyberGIS for Geospatial Discovery and Innovation年度引用學(xué)科排名




書目名稱CyberGIS for Geospatial Discovery and Innovation讀者反饋




書目名稱CyberGIS for Geospatial Discovery and Innovation讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:01:51 | 只看該作者
Coupling Traffic and Gas Dispersion Simulation for Atmospheric Pollution Estimationstimate atmospheric pollution for different scenarios. The combination of these two simulation models allows for detailed investigations of different situations such as the investigation of pollution impacts of different traffic infrastructure variants, as well as for prediction of expected pollutio
板凳
發(fā)表于 2025-3-22 03:51:40 | 只看該作者
地板
發(fā)表于 2025-3-22 05:59:56 | 只看該作者
5#
發(fā)表于 2025-3-22 08:53:38 | 只看該作者
6#
發(fā)表于 2025-3-22 15:24:01 | 只看該作者
7#
發(fā)表于 2025-3-22 20:30:07 | 只看該作者
8#
發(fā)表于 2025-3-22 22:59:37 | 只看該作者
9#
發(fā)表于 2025-3-23 02:21:16 | 只看該作者
10#
發(fā)表于 2025-3-23 06:07:08 | 只看該作者
A Smart Service-Oriented CyberGIS Framework for Solving Data-Intensive Geospatial Problemsy of geospatial data. We describe a service-oriented architecture to make heterogeneous geospatial resources easily sharable and interoperable. OGC standards for sharing vector data, raster data, sensor observation data etc. are adopted in such an infrastructure because of their widespread popularit
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-15 02:08
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
岳池县| 寻甸| 桓仁| 广平县| 漠河县| 缙云县| 彭州市| 西安市| 浮山县| 黄骅市| 班玛县| 南木林县| 乌鲁木齐市| 淮北市| 德州市| 阜阳市| 威宁| 兰州市| 罗定市| 旌德县| 夏河县| 沅江市| 辽阳县| 孟州市| 宽城| 龙南县| 本溪| 开原市| 新建县| 阳曲县| 桃江县| 大关县| 宁武县| 寿宁县| 天峨县| 丽江市| 鹤壁市| 武汉市| 寿宁县| 阿图什市| 原平市|