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Manipulation and Analysis01:21

Manipulation and Analysis

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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...
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Introduction to GIS01:28

Introduction to GIS

61
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...
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Thematic Layering in GIS01:30

Thematic Layering in GIS

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

Levels of Use of a GIS

48
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...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
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...
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Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Visualization analysis of urban planning assistant decision network 3D system based on intelligent computing.

YuanE Kang1

  • 1College of Business, Minnan Science and Technology College, Quanzhou, 362000, Fujian, China.

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Summary

Urban planning 3D auxiliary systems enhance decision-making by identifying design flaws early. Intelligent computing 3D systems improve urban development sustainability, transportation convenience, and livability.

Keywords:
Assisting decision-makingIntelligent computing technologyThree-dimensional systemUrban planning

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Area of Science:

  • Urban Planning and Design
  • Geographic Information Systems (GIS)
  • Intelligent Computing

Background:

  • Traditional 2D urban planning methods struggle to meet evolving urban needs due to population growth and development.
  • Spatial planning often conflicts with actual urban requirements, leading to inefficiencies and potential issues.

Purpose of the Study:

  • To analyze urban planning challenges using a three-dimensional (3D) auxiliary system powered by intelligent computing.
  • To evaluate the effectiveness of intelligent computing-based 3D urban planning systems.

Main Methods:

  • Development and application of an intelligent computing-based 3D urban planning auxiliary system.
  • Establishment of evaluation indicators: development sustainability, transportation network convenience, and urban livability.

Main Results:

  • The 3D urban planning assistance system achieved an average score of 9.29 for urban development sustainability.
  • Transportation network convenience scored 92.08, and urban livability scored 9.249.
  • The system demonstrated effectiveness in improving key urban planning metrics.

Conclusions:

  • Intelligent computing-based 3D auxiliary systems significantly enhance urban planning accuracy and precision.
  • These systems mitigate risks and costs by identifying defects early, fostering sustainable and livable urban environments.