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Related Concept Videos

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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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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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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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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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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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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Related Experiment Video

Updated: Jul 31, 2025

Design and Construction of an Urban Runoff Research Facility
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In the arena: contesting disaster creation in cities.

Wesley Webb Cheek1, Ksenia Chmutina2, Jason von Meding3

  • 1Lecturer in Human Geography, Edge Hill University, United Kingdom.

Disasters
|May 9, 2023
PubMed
Summary
This summary is machine-generated.

Disasters manifest in urban spaces through development and usage decisions, revealing societal injustices. Critical urban theory offers insights into disaster risk creation by examining people, power, and the built environment.

Keywords:
built environmentcitiescritical urban theorydisasterdisaster risk creationspace

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Area of Science:

  • Urban Studies
  • Disaster Science
  • Sociology

Background:

  • Space is integral to disaster manifestation, shaped by development and usage decisions.
  • Critical urban theory frames cities as arenas of contestation involving people, power, and the built environment.
  • Urban complexity reveals societal injustices and inequalities during disasters.

Purpose of the Study:

  • To explore how critical urban theory enhances understanding of disaster risk creation.
  • To encourage disaster scholars to engage with critical urban theory.
  • To analyze disaster manifestation through the lens of urban space and contestation.

Main Methods:

  • Analysis of three case studies: Hurricane Katrina (2010), Haiti earthquake (2010), and Great East Japan Earthquake and Tsunami (2011).
  • Application of critical urban theory to interpret disaster events within their spatial and social contexts.
  • Examination of temporal, spatial, social, and physical elements contributing to complex disaster issues.

Main Results:

  • Disasters in urban settings expose deep-seated societal inequalities and injustices.
  • Critical urban theory provides a framework for understanding the complex interplay of factors leading to disaster risk.
  • The development and use of urban space are central to how disasters unfold and impact populations.

Conclusions:

  • Critical urban theory offers valuable perspectives for disaster scholarship.
  • Engaging with urban theory can deepen the understanding of disaster risk creation and social vulnerability.
  • Future disaster research should integrate critical urban perspectives to address complex, wicked problems.