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相关概念视频

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

51
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...
51
Levels of Use of a GIS01:29

Levels of Use of a GIS

73
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...
73
Manipulation and Analysis01:21

Manipulation and Analysis

48
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...
48
Introduction to GIS01:28

Introduction to GIS

114
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...
114
Thematic Layering in GIS01:30

Thematic Layering in GIS

62
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
62
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

103
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...
103

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相关实验视频

Updated: Jul 28, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

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基于遥感数据的城市空间结构估计.

Masanobu Kii1, Tetsuya Tamaki2, Tatsuya Suzuki2

  • 1Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871, Japan. kii@see.eng.osaka-u.ac.jp.

Scientific reports
|May 31, 2023
PubMed
概括

这项研究引入了一种使用卫星数据分析城市空间结构的新方法. 该方法准确地确定了城市区域和中心,有助于城市规划和战略制定.

科学领域:

  • 城市规划 城市规划
  • 遥感 遥感 遥感 遥感
  • 地理空间分析是什么

背景情况:

  • 了解城市空间结构对于有效的城市规划至关重要.
  • 当前的方法可能无法完全捕捉到城市复杂的功能组织.
  • 卫星遥感为大规模城市分析提供了强大的工具.

研究的目的:

  • 通过卫星遥感数据提出和验证一种分析城市功能空间结构的方法.
  • 在网格基础上估计出行吸引力,以表示城市功能.
  • 确定城市中心的空间范围和层次结构.

主要方法:

  • 开发了一个模型,将遥感数据与目的 (住宅和中央功能) 的旅行吸引力联系起来.
  • 在整个城市景观的网格基础上估计的旅行吸引力.
  • 利用轮树分析来划定城市范围和功能层次.

主要成果:

  • 该方法准确地复制了东京大都会地区政府定义的城市 (84%) 和非城市 (94%) 区域.
  • 确定了848个城市中心,其尺寸分布遵循帕雷托分布.
  • 排名最高的城市中心与总体规划区对应,验证了该方法的相关性.

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结论:

  • 拟议的方法有效地使用卫星数据分析城市的功能空间结构.
  • 该方法为城市规划和空间战略制定提供了宝贵的见解.
  • 证明了用于识别城市中心及其等级组织的适用性.