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Jingdong book

大数据技术与应用：城市发展的数据逻辑

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Jingdong book

大数据技术与应用：城市发展的数据逻辑

Name: 大数据技术与应用：城市发展的数据逻辑
Brand: Jingdong book
SKU: 3118040571
Price: 43.05 USD
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“维”是大数据的概念，我们幸运地生活在一个技术快速发展的时代，这些新的技术给我们的生活带来了便利，同时也产生了大量的数据，我们离不开数据。大数据时代的来临为我们提供了更多的方法来研究城市发展如何能更好地为人类服务。《大数据技术与应用：城市发展的数据逻辑》从大数据的视角，分析城市形成、发展的演变规律以及城市发展中存在的问题及其成因，为城市发展提供重要的分析工具和科学依据。

Content Description

《大数据技术与应用：城市发展的数据逻辑》通过对城市空间数据和非空间数据（如地形数据、建筑物数据、交通数据、城市环境数据等）反映城市发展现状和历史的数据进行分析、挖掘，论述城市发展的规律和内在逻辑，为城市发展提供了重要的分析工具和科学依据。
《大数据技术与应用：城市发展的数据逻辑》系统、全面地介绍了与城市发展有关的各种空间数据，包括卫片、航片、地面测量数据等。在此基础上介绍了国内外对城市生长的研究现状，总结了目前国内外城市大数据研究的形成和发展、城市生长模型及其新方法，并借助一些典型案例，介绍应用城市生长技术的流程与方法。《大数据技术与应用：城市发展的数据逻辑》还介绍了包括GIS、RS、GPS等新技术在城市发展以及城市规划中的应用。在信息技术不断更新的过程中，城市的发展又产生了更多数据，《大数据技术与应用：城市发展的数据逻辑》介绍了如何使用新的信息技术方法揭示城市发展过程中诸如道路交通、城市建筑、公共设施等城市因子与城市发展的内生联系。
《大数据技术与应用：城市发展的数据逻辑》不仅在技术上系统介绍了数据的来源、标准、格式，还阐述了分析方法、分析模型，并通过信息技术、数据的演变逻辑，演绎了城市发展过程，即通过对城市相关数据的逻辑分析推演城市发展规律。这些技术手段、分析方法对科学认识城市，推进城市分析、城市研究、城市建设、城市管理均具有十分重要的理论与应用价值。
《大数据技术与应用：城市发展的数据逻辑》的读者对象主要包括城市发展领域的本科生、研究生、教师、研究人员和政府部门相关工作人员，以及对城市发展感兴趣的普通读者。

Catalogue

第1章引论
1.1 城市是一个生命体
1.2 如何认识城市
1.3 数据挖掘
参考文献

第2章城市发展中的数据
2.1 数据分类与表示
2.1.1 数据概况
2.1.2 数据分类
2.1.3 矢量数据和栅格数据
2.2 空间数据来源
2.2.1 遥感影像数据
2.2.2 地图数据
2.2.3 地面摄影测量数据
2.2.4 统计数据
2.3 空间数据的获取和采集
2.3.1 遥感影像数据
2.3.2 地图数据
2.3.3 地面摄影测量数据
2.4 气象数据
2.4.1 气象数据的内容
2.4.2 气象数据的观测
参考文献

第3章空间数据的应用技术
3.1 空间数据处理
3.1.1 空间数据处理的目的
3.1.2 空间数据处理的内容
3.1.3 空间数据处理的专业平台
3.2 空间数据挖掘
3.2.1 空间数据挖掘的任务
3.2.2 空间数据挖掘的方法
3.2.3 空间数据挖掘的步骤
3.2.4 空间数据挖掘与空间数据处理的比较
3.3 空间数据分析
3.3.1 空间数据分析的作用
3.3.2 空间数据分析的方法
3.3.3 空间数据分析的步骤
3.3.4 空间数据分析的专业平台
3.4 空间数据存储
3.4.1 空间数据的存储方式
3.4.2 空间数据库平台简介
3.4.3 空间数据索引与查询
参考文献

第4章大数据时代下的城市发展研究
4.1 大数据对城市发展的推动作用
4.1.1 IBM公司“SmarterCity”项目
4.1.2 日本“i—Japan”战略
4.1.3 中国台湾“i236”战略
4.1.4 中国“智慧宁波”计划
4.2 大数据对城市规划的促进作用
4.2.1 欧盟“EIJNOIA”计划
4.2.2 美国“UrbanCCD”研究中心
4.2.3 上海手机定位数据
4.3 大数据对城市生长的预测作用
参考文献

第5章交通与城市发展
5.1 城市交通理论研究
5.1.1 国外的相关研究
5.1.2 国内的相关研究
5.2 交通系统在城市发展中的作用
5.2.1 交通方式与城市更新演进规模
5.2.2 交通可达性与空间布局
5.2.3 交通与城市次核心形成
5.3 大数据在城市交通中的重要作用
5.3.1 智能交通与大数据管理
5.3.2 国外交通大数据的应用实践
5.3.3 国内交通大数据的应用实践
5.3.4 智能交通的展望
参考文献

第6章城市生长模型
6.1 城市生长模型概述
6.1.1 城市模型的发展历史
6.1.2 元胞自动机的产生
6.1.3 CA模型在国外城市生长研究中的应用发展
6.1.4 CA模型在国内城市生长研究中的应用发展
6.2 城市CA的原理
6.2.1 CA的内部构造
6.2.2 CA模型的基本特征
6.2.3 CA与地理复杂系统的结合应用
6.2.4 城市生长模拟的原则与方案
6.2.5 CA模型在城市生长研究中应用的局限性
6.3 其他城市生长模型
6.3.1 CLUE—S
6.3.2 多智能体系统
参考文献

第7章气象数据与城市宜居性
7.1 建筑风环境
7.1.1 建筑对风速的改变
7.1.2 风环境研究方法
7.1.3 风环境数值模拟案例分析
7.2 温湿数据与舒适度
7.2.1 城市热岛效应
7.2.2 水体与城市微气候
7.2.3 气候舒适度
7.3 空气颗粒对环境的影响
7.3.1 大气颗粒简介
7.3.2 微粒扩散与城市规划
参考文献

第8章城市规划中的新技术
8.1 3S技术
8.1.1 GIS技术
8.1.2 RS技术
8.1.3 GPS技术
8.1.4 3S技术的集成模式
8.1.5 3S技术在城市规划中的作用
8.2 虚拟现实技术
8.2.1 概念和特性
8.2.2 系统分类
8.2.3 建模方法
8.2.4 关键技术
8.2.5 VR景观建模软件
8.2.6 VR在城市规划中的作用

参考文献

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