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Related Concept Videos

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

283
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...
283
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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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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Levels of Use of a GIS01:29

Levels of Use of a GIS

416
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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Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

587
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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Thematic Layering in GIS01:30

Thematic Layering in GIS

374
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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Related Experiment Video

Updated: Feb 27, 2026

Implementation of Portable Emissions Measurement Systems PEMS for the Real-driving Emissions RDE Regulation in Europe
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A Spatial Data Infrastructure for Environmental Noise Data in Europe.

Andrej Abramic1, Alexander Kotsev2, Vlado Cetl3

  • 1ECOAQUA University Institute, Scientific and Technological Marine Park, University of Las Palmas de Gran Canaria, 35001 Las Palmas, Spain. andrej.abramic@ulpgc.es.

International Journal of Environmental Research and Public Health
|July 8, 2017
PubMed
Summary

High-quality environmental noise data, managed through the Infrastructure for Spatial Information in the European Community (INSPIRE) and Environmental Noise Directive (END), improves understanding and reporting across Europe.

Keywords:
Environmental Noise DirectiveINSPIREe-reportingnoise dataspatial data infrastructure

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Area of Science:

  • Environmental Science
  • Geoinformatics
  • Public Health

Background:

  • Urbanization increases environmental noise, necessitating better data for impact assessment.
  • Current data utilization and reporting for noise pollution are fragmented across Europe.
  • Spatial data infrastructures offer potential solutions for harmonized environmental data management.

Purpose of the Study:

  • To analyze how European spatial data infrastructures enhance environmental noise data utilization and reporting.
  • To demonstrate the benefits of the INSPIRE and END frameworks for noise data management.
  • To showcase improved interoperability and data sharing for noise pollution assessment and mitigation.

Main Methods:

  • Analysis of existing spatial data infrastructures in Europe, focusing on INSPIRE and END.
  • Examination of data management principles for environmental noise data.
  • Description of a use case involving cross-border noise data harmonization.

Main Results:

  • INSPIRE and END principles facilitate better environmental noise data management and understanding.
  • Shared, harmonized spatial data improves noise mapping and action plan development.
  • Decentralized e-reporting infrastructure enhances data flow and integration with other domains.

Conclusions:

  • Implementing INSPIRE and END principles significantly improves pan-European noise data management and reporting.
  • Spatial data infrastructures are crucial for effective environmental noise assessment and mitigation strategies.
  • Interoperable and harmonized noise data supports integrated environmental monitoring and policy development.