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相关概念视频

Manipulation and Analysis01:21

Manipulation and Analysis

59
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...
59
Levels of Use of a GIS01:29

Levels of Use of a GIS

100
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...
100
Thematic Layering in GIS01:30

Thematic Layering in GIS

77
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)...
77
Introduction to GIS01:28

Introduction to GIS

189
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...
189
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

69
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...
69
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

116
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
116

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相关实验视频

Updated: Sep 9, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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从二维到三维:评估城市绿地生态系统服务的先进技术

Qi-Peng Deng1, Geng-Yuan Liu1, Qing Yang2

  • 1State Key Laboratory of Regional Environment and Sustainability, School of Environment, Beijing Normal University, Beijing 100875, China.

Ying yong sheng tai xue bao = The journal of applied ecology
|August 31, 2025
PubMed
概括

城市绿地提供了重要的生态系统服务. 这项研究引入了使用先进技术的3D评估框架,以更好地了解它们对福祉的影响,超越2D限制.

关键词:
人工智能生态网络绿色基础设施多源数据空间结构

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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Watershed Planning within a Quantitative Scenario Analysis Framework
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科学领域:

  • 城市生态
  • 环境科学
  • 地理空间分析

背景情况:

  • 城市绿地是缓解城市问题和提供生态系统服务的关键基于自然的解决方案.
  • 目前的生态系统服务评估通常使用二维空间数据,忽视了对居民福祉的三维结构影响.
  • 这限制了对绿色空间贡献的全面理解.

研究的目的:

  • 系统地审查目前评估城市绿色空间生态系统服务的方法.
  • 分析二维空间评估的局限性,并强调三维评估的潜力.
  • 使用新兴技术提出创新的3D评估框架.

主要方法:

  • 对生态系统服务评估方法的系统文献审查.
  • 对二维空间评估局限性的批判性分析.
  • 突出使用LiDAR,街景图像和人工智能进行3D评估.

主要成果:

  • 确定了城市绿色空间生态系统服务的二维空间评估的重大局限性.
  • 展示了新兴技术 (LiDAR,街景,人工智能) 在3D空间评估方面的潜力.
  • 提出城市绿色空间生态系统服务3D评估的综合框架.

结论:

  • 使用先进技术的3D评估框架对于准确评估城市绿色空间生态系统服务至关重要.
  • 解决数据处理效率和多尺度应用是未来研究的关键.
  • 这种方法为可持续的城市绿地管理提供了理论支持和实际指导.