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]
樓主: 征募
31#
發(fā)表于 2025-3-26 22:57:27 | 只看該作者
Designing Adaptable Spatial Cyberinfrastructure for Urban eResearchrchitectures are examined in the context of the implemented components of the AURIN system. We conclude by discussing the benefits as well as challenges of this system architecture pattern for meeting the needs of urban researchers.
32#
發(fā)表于 2025-3-27 04:50:36 | 只看該作者
Mapping Spatial Information Landscape in Cyberspace with Social Mediad varies by topics. As a pilot study of mapping cyberspace to real space, this chapter presents two case studies on visualizing information landscape in cyberspace and also addresses some limitations and suggestions for future research in this domain.
33#
發(fā)表于 2025-3-27 08:22:14 | 只看該作者
34#
發(fā)表于 2025-3-27 12:16:29 | 只看該作者
Crayons: Empowering CyberGIS by Employing Cloud Infrastructuredistributed GIS system over cloud capable of end-to-end spatial overlay analysis. We demonstrate how Azure platforms storage, communication, and computation mechanisms can support high performance computing (HPC) application development. Crayons scales well for sufficiently large data sets, achievin
35#
發(fā)表于 2025-3-27 17:22:53 | 只看該作者
Enabling Spatial Big Data via CyberGIS: Challenges and Opportunities then provide an overview of the current efforts, challenges and opportunities available when spatial big data is enabled via next-generation CyberGIS. Our discussion includes current accomplishments and opportunities from both an analytics and an infrastructure perspective.
36#
發(fā)表于 2025-3-27 20:53:43 | 只看該作者
High-Performance Small-Scale Raster Map Projection Empowered by Cyberinfrastructureocessors was small. Without being exposed to large-scale supercomputers through software integration efforts, such flaws might remain unidentified. Overall, the two computational bottlenecks highlighted in this chapter, workload distribution and data-dependent load balancing, showed that in order to
37#
發(fā)表于 2025-3-27 22:14:58 | 只看該作者
38#
發(fā)表于 2025-3-28 04:38:16 | 只看該作者
39#
發(fā)表于 2025-3-28 09:47:36 | 只看該作者
40#
發(fā)表于 2025-3-28 12:06:27 | 只看該作者
 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 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 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
尚志市| 成都市| 龙陵县| 潍坊市| 安丘市| 安平县| 静宁县| 潮州市| 德安县| 多伦县| 兴义市| 朝阳市| 泰顺县| 贵港市| 大同市| 邵东县| 晋江市| 新邵县| 开江县| 赤城县| 富阳市| 兴海县| 偏关县| 锦州市| 霍林郭勒市| 潮安县| 新竹县| 昌乐县| 淮安市| 寻乌县| 卢氏县| 平乐县| 德令哈市| 青田县| 尤溪县| 安吉县| 突泉县| 称多县| 泾源县| 砚山县| 白河县|