已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Advances in Shipping Data Analysis and Modeling. Tracking and Mapping Maritime Flows in the Age of Big Data

跟踪(教育) 计算机科学 大数据 数据科学 地理 地图学 数据挖掘 社会学 教育学
作者
César Ducruet
出处
期刊:Le Centre pour la Communication Scientifique Directe - HAL - Diderot [Centre National de la Recherche Scientifique]
被引量:1
摘要

Shipping flows – maritime ‘footprints’ – remain underexplored in the existing literature despite the crucial importance of freight transport for global trade and economic development. Additionally, decision-makers lack a comprehensive view on how shipping flows can be measured, analyzed, and mapped in order to support their policies and strategies. This interdisciplinary volume, drawing on an international cast-list of experts, explores a number of crucial issues in shipping data estimation, construction, collection, mining, analysis, visualization, and mapping. Advances in Shipping Data Analysis and Modeling delivers several key messages. First, that in a world of just-in-time delivery and rapid freight transit, it is important to bear in mind the long-term roots of current trends as well as foreseeable future developments because shipping patterns exhibit recurrent, if not cyclical and path-dependent, dynamics. Second, shipping flows are currently often understood at the micro-level of intra-urban logistics delivery and at the national level using commodity flow analyses, but this volume emphasizes the need to expand the scale of analysis by offering new evidence on the changing distribution of global and international shipping flows, based on actual data. Third, that this multidisciplinary approach to shipping flows can shed important light on crucial issues that go beyond shipping itself including climate change, urban development, technological change, commodity specialization, digital humanities, navigation patterns, international trade, and regional growth. Edited by experts in their field, this volume is of upmost importance to those who study industrial economics, shipping industries and economic and transport geography.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
上官若男应助威武从寒采纳,获得10
3秒前
zhz完成签到,获得积分10
4秒前
5秒前
Copyright应助优雅的雪一采纳,获得10
7秒前
8秒前
10秒前
魏俏红发布了新的文献求助10
10秒前
11秒前
之组长了完成签到 ,获得积分10
11秒前
12秒前
端庄亦巧完成签到 ,获得积分10
12秒前
Dara发布了新的文献求助10
13秒前
ding应助niniyiya采纳,获得10
13秒前
酷波er应助QIEZI采纳,获得10
13秒前
橘子发布了新的文献求助10
13秒前
打打应助科研通管家采纳,获得10
14秒前
14秒前
CJH应助科研通管家采纳,获得30
15秒前
寻雯静应助科研通管家采纳,获得10
15秒前
完美世界应助科研通管家采纳,获得10
15秒前
大个应助科研通管家采纳,获得10
15秒前
词予月应助科研通管家采纳,获得10
15秒前
CJH应助科研通管家采纳,获得30
15秒前
JamesPei应助科研通管家采纳,获得10
15秒前
深情安青应助科研通管家采纳,获得10
15秒前
赘婿应助科研通管家采纳,获得10
15秒前
Lzk应助科研通管家采纳,获得20
15秒前
远之发布了新的文献求助10
15秒前
顾矜应助科研通管家采纳,获得10
15秒前
冰美式发布了新的文献求助10
16秒前
16秒前
16秒前
是小越啊发布了新的文献求助30
16秒前
20秒前
20秒前
拼搏的土豆完成签到,获得积分10
20秒前
丘比特应助班班采纳,获得10
20秒前
21秒前
嘻嘻哈哈应助优雅的雪一采纳,获得10
24秒前
jokzeng发布了新的文献求助10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7407523
求助须知:如何正确求助?哪些是违规求助? 9012029
关于积分的说明 19193518
捐赠科研通 7040758
什么是DOI,文献DOI怎么找? 3232588
关于科研通互助平台的介绍 2394597
邀请新用户注册赠送积分活动 2214777