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Manipulation and Analysis01:21

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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

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

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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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Levels of Use of a GIS01:29

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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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Introduction to GIS01:28

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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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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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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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A spatial analysis of corruption, misallocation, and efficiency.

Shuhong Wang1,2, Danqing Zhao1, Hanxue Chen3

  • 1School of Economics, Ocean University of China, Qingdao, 266100, People's Republic of China.

Environmental Science and Pollution Research International
|June 25, 2020
PubMed
Summary
This summary is machine-generated.

Government corruption negatively impacts China

Keywords:
China’s corruptionEcological efficiencyEcological footprintGovernment corruptionResource misallocationSustainable development

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Area of Science:

  • Environmental Science
  • Economics
  • Political Science

Background:

  • Political corruption hinders economic development globally.
  • Ecological efficiency is crucial for sustainable economic growth.

Purpose of the Study:

  • To analyze the relationship between government corruption and ecological efficiency in China.
  • To investigate the impact of resource misallocation on ecological efficiency.

Main Methods:

  • Calculated ecological footprints and efficiencies for 29 Chinese provinces (2006-2015).
  • Employed a spatial error model to assess the effects of corruption and resource misallocation.

Main Results:

  • The relationship between corruption and ecological efficiency is non-linear.
  • High corruption and resource misallocation significantly decrease regional ecological efficiency.

Conclusions:

  • Government corruption and resource misallocation pose significant threats to China's sustainable economic development.
  • Policy interventions addressing corruption and resource allocation are vital for improving ecological efficiency.