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Applications of GIS: Disaster Management and Emergency Response

Applications of GIS: Disaster Management and Emergency Response

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...

Selected Data About Geographic Locations

Selected Data About Geographic Locations

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...

Levels of Use of a GIS

Levels of Use of a GIS

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...

Manipulation and Analysis

Manipulation and Analysis

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...

GIS Software, Hardware, and Sources of GIS Data

GIS Software, Hardware, and Sources of GIS Data

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...

Introduction to GIS

Introduction to GIS

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: May 17, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Debris flow disaster information representation and perception based on knowledge graphs and virtual geographic

Zhiyuan Zhang¹, Jiquan Zhang^2,3, Yichen Zhang⁴

¹Changchun Institute of Technology, Changchun, 130000, China.

Scientific Reports

|May 15, 2026

Summary

This study introduces an automated framework for organizing disaster knowledge and presenting it adaptively across platforms. It enhances public understanding and participation in disaster scenarios without expert guidance.

Keywords:

Information representation and perception Knowledge graph Large language model Virtual geographic environments

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

Area of Science:

Geographic Information Science
Disaster Management
Human-Computer Interaction

Background:

Virtual geographic environments (VGEs) are vital for disaster simulations and public risk perception.
Previous knowledge-driven visualization frameworks offer insights but require further development for public accessibility.

Purpose of the Study:

To develop an automated framework for knowledge organization and cross-platform adaptive presentation of disaster information.
To improve public understanding and participation in disaster scenarios, especially without professional guidance.

Main Methods:

Utilized large language models (LLMs) to extract information and construct a knowledge graph of disaster geographic data.
Developed precise virtual scene modeling and context-adaptive representation based on VGE theory.
Designed a cross-platform data organization and dynamic scheduling algorithm for diverse device compatibility.

Main Results:

The framework enables adaptive and smooth visualization across multiple platforms.
Demonstrated significant improvement in debris flow disaster information dissemination efficiency compared to traditional methods.
Eye-tracking experiments confirmed enhanced user cognition and information perception.

Conclusions:

The proposed method offers advantages in standardized modeling, personalization, and adaptive optimization for disaster information.
Effectively integrates scene context, user interest, demand response, and spatial intelligence.
Significantly enhances public perception of debris flow disasters through improved information dissemination.