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: Evaluation Platform of Sustainability for Global Systems; Statistical Approach Aki-Hiro Sato,Hiroe Tsubaki Book 2024 The Editor(s) (if appl

[復制鏈接]
樓主: FARCE
11#
發(fā)表于 2025-3-23 10:39:48 | 只看該作者
https://doi.org/10.1007/978-3-540-33259-6tics have been developed since the 1960s for both industrial and government usage in Japan. Finally, we show the definition of the World Grid Squares as an extension of JIS X0410:2002 for worldwide usage.
12#
發(fā)表于 2025-3-23 16:40:22 | 只看該作者
13#
發(fā)表于 2025-3-23 21:30:33 | 只看該作者
,Grid Squares and?Grid Square Statistics,tics have been developed since the 1960s for both industrial and government usage in Japan. Finally, we show the definition of the World Grid Squares as an extension of JIS X0410:2002 for worldwide usage.
14#
發(fā)表于 2025-3-24 01:29:15 | 只看該作者
15#
發(fā)表于 2025-3-24 03:36:36 | 只看該作者
Distributed Architecture for Grid Square Statistics,-conquer methods. We mention Amdahl’s law and Gustafson’s law. Moreover, we find an implementation of Web API a useful method to exchange data among elements of a distributed system. Finally, we propose a parallelization and distributed architecture for Grid Square statistics.
16#
發(fā)表于 2025-3-24 09:39:11 | 只看該作者
Book 2024olution to approach geospatial data for big data integration. Grid Square statistics is a technique that allows us to collect and analyze data based on Grids and makes it easier to understand patterns and trends. Sustainability, a key concern for the future of our society, often involves balancing m
17#
發(fā)表于 2025-3-24 11:25:40 | 只看該作者
Aki-Hiro Sato,Hiroe TsubakiExplains how to compute Grid Square statistics from datasets with geospatial information and system architecture.Provides exemplary studies for combining Grid Square statistics and data for measuring
18#
發(fā)表于 2025-3-24 18:40:36 | 只看該作者
http://image.papertrans.cn/e/image/317271.jpg
19#
發(fā)表于 2025-3-24 19:56:16 | 只看該作者
The Fallacy of Sustainable Change,ioeconomic-environmental systems and is formalized as multi-dimensional optimization problems containing several key performance indicators. Big data has enabled us to analyze and improve our world from a holistic point of view. Moreover, geospatial big data enhances the understanding of sustainabil
20#
發(fā)表于 2025-3-25 01:14:02 | 只看該作者
 關于派博傳思  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 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 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, 2025-10-14 06:43
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
陈巴尔虎旗| 峡江县| 田东县| 浦城县| 永新县| 乐安县| 邵阳市| 称多县| 贵溪市| 嫩江县| 柞水县| 兖州市| 双辽市| 贡山| 霍山县| 长白| 东山县| 深泽县| 友谊县| 合阳县| 翁牛特旗| 叶城县| 十堰市| 临夏县| 苏尼特右旗| 伊春市| 崇信县| 竹北市| 上犹县| 宁阳县| 陆河县| 曲靖市| 沁源县| 光泽县| 彭泽县| 黄冈市| 蒲江县| 简阳市| 洛隆县| 洱源县| 皋兰县|