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相关概念视频

Introduction to GIS01:28

Introduction to GIS

97
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
97
Levels of Use of a GIS01:29

Levels of Use of a GIS

72
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
72
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

108
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
108
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

93
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
93
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

49
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
49
Manipulation and Analysis01:21

Manipulation and Analysis

43
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
43

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相关实验视频

Updated: Jul 20, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

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城市信息学的前景

Wenzhong Shi1, Michael Goodchild2, Michael Batty3

  • 1Otto Poon Charitable Foundation Smart Cities Research Institute and Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China.

Urban informatics
|July 31, 2023
PubMed
概括
此摘要是机器生成的。

城市信息学研究举措正在加速城市发展. 这个领域整合了城市科学,AIoT和数字双胞胎等核心技术,以及智能城市的应用,平衡技术与社会需求.

关键词:
智慧城市是智慧城市.城市计算城市计算城市信息学 城市信息学城市科学 城市科学城市传感传感器

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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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相关实验视频

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
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科学领域:

  • 城市信息学作为一个跨学科领域.
  • 城市科学,技术和城市发展的整合.
  • 专注于通过信息技术了解和发展城市.

背景情况:

  • 城市信息技术的快速增长是由部门专业化和技术进步推动的.
  • 现有审查涵盖了进展和未来前景,需要对研究举措进行更深入的探索.
  • 该领域的演变对于未来的城市发展至关重要.

研究的目的:

  • 介绍城市信息学领域的一系列研究举措.
  • 为城市信息学和未来城市的发展提供参考.
  • 审查城市信息学研究的最新情况.

主要方法:

  • 审查城市信息技术的最新情况.
  • 在三个层面上确定研究举措:城市科学,核心技术和应用.
  • 讨论算法和数据驱动的方法.

主要成果:

  • 研究举措涵盖城市科学,核心启用技术 (地理空间AI,高清地图,量子计算,AIoT,数字双胞胎,可解释AI,分布式ML,保护隐私DL) 和应用 (城市设计,规划,交通,LBS,元宇宙).
  • 探索城市信息学中的算法和数据驱动方法.
  • 确定影响城市发展的关键技术趋势.

结论:

  • 城市信息学是一个快速发展的领域,具有未来城市发展的巨大潜力.
  • 未来的发展需要平衡技术依赖与社会关切.
  • 持续的研究对于推进城市信息学和创造可持续的智能城市至关重要.