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Related Concept Videos

Levels of Use of a GIS01:29

Levels of Use of a GIS

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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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As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
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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...
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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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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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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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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...
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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Urban Form and Function Optimization for Reducing Carbon Emissions Based on Crowd-Sourced Spatio-Temporal Data.

Fangjie Cao1, Yun Qiu1, Qianxin Wang1

  • 1School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China.

International Journal of Environmental Research and Public Health
|September 9, 2022
PubMed
Summary
This summary is machine-generated.

Optimizing urban form and function allocation significantly reduces carbon dioxide (CO2) emissions. Lower urban form indices and higher urban function indices correlate with decreased CO2 concentrations in cities.

Keywords:
CO2 concentrationLandscape Shape IndexOSMPOIlow-carbon urban planning

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Area of Science:

  • Urban Planning and Environmental Science
  • Geographic Information Systems (GIS)
  • Remote Sensing

Background:

  • The global imperative for low-carbon cities highlights the critical role of urban planning in mitigating carbon emissions.
  • Understanding the relationship between urban form, function, and carbon emissions is essential for sustainable urban development.

Purpose of the Study:

  • To investigate how urban form and function allocations influence carbon dioxide (CO2) concentrations in Shenzhen, China.
  • To identify specific urban planning strategies for reducing urban carbon footprints.

Main Methods:

  • Utilized a "head/tail" breaks method based on fractal theory to define minimum evaluation parcels.
  • Employed Landscape Shape Index (LSI), Fragmentation Index (C), Shannon's Diversity Index (SHDI), and Density of Public Facilities (Den) for spatial analysis.
  • Integrated remote sensing data to map CO2 concentration distribution.

Main Results:

  • A negative correlation was found between urban form indices (LSI, C) and CO2 concentration.
  • A positive correlation was observed between urban function indices (SHDI, Den) and reduced CO2 concentration.
  • Experimental adjustments demonstrated potential CO2 reductions of up to 27.72%.

Conclusions:

  • Lower urban form complexity and higher functional diversity are key to reducing urban CO2 emissions.
  • Strategic urban planning interventions targeting form and function can effectively lower carbon footprints.
  • Findings provide actionable insights for developing low-carbon urban environments.