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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 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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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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The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
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Response Surface Methodology01:16

Response Surface Methodology

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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
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Designing Multimodal Interactive Dashboard of Disaster Management Systems.

Abeer AlAbdulaali1, Amna Asif1, Shaheen Khatoon2

  • 1Information Systems Department, College of Computer Sciences and Information Technology (CCSIT), King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia.

Sensors (Basel, Switzerland)
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Summary
This summary is machine-generated.

This study introduces interactive multimodal disaster data dashboards to improve emergency response. These dashboards present complex crisis information effectively, aiding decision-making and reducing damage.

Keywords:
dashboardemergency managementinteractive visualizationsocial media multimodal informationusability and user experience

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Area of Science:

  • Disaster Management
  • Human-Computer Interaction
  • Information Science

Background:

  • Disasters significantly impact societal growth, resources, and economies.
  • Effective emergency decision-making and response are crucial globally.
  • Existing crisis data efforts focus on collection and classification, neglecting user-friendly presentation.

Purpose of the Study:

  • To address the gap in user-friendly multimodal disaster data dashboards.
  • To propose usable designs for interactive dashboards presenting multimodal disaster information.
  • To enhance human-to-system interactions during emergency response.

Main Methods:

  • Investigated social media data and metadata for requirement elicitation.
  • Developed interactive multimodal dashboards based on analyzed requirements.
  • Conducted a heuristic evaluation with experts to validate dashboard designs.

Main Results:

  • Positive feedback received from expert evaluators on the interactive dashboards.
  • Demonstrated the usability of multimodal dashboards for presenting complex disaster information.
  • The proposed dashboards complement existing data collection and classification methods.

Conclusions:

  • Interactive multimodal dashboards offer a usable way to present disaster information.
  • This approach supports emergency response personnel with timely and actionable insights.
  • The findings contribute to improved prompt responses and mitigation of disaster damage.