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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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Levels of Use of a GIS01:29

Levels of Use of a GIS

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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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Thematic Layering in GIS01:30

Thematic Layering in GIS

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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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Manipulation and Analysis01:21

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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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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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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Introduction to GIS01:28

Introduction to GIS

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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

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Watershed Planning within a Quantitative Scenario Analysis Framework
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Developing a cloud-based WebGIS tool for communicating integrated ecosystem services assessment modeling to

Wanhong Yang1, Yongbo Liu2, Hui Shao3

  • 1Department of Geography, Environment, and Geomatics, University of Guelph, ON, N1G 2W1, Canada.

Journal of Environmental Management
|February 1, 2025
PubMed
Summary
This summary is machine-generated.

A new WebGIS tool, the Ecosystem Services Assessment Tool (ESAT), simplifies ecosystem services (ES) modeling for conservation stakeholders. It helps identify cost-effective agricultural conservation practices to meet environmental targets.

Keywords:
Conservation prioritizationDecision makingGrazing managementIntelligent recommendationRiparian enhancementStakeholder engagementWetland restoration

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Area of Science:

  • Agricultural Science
  • Environmental Science
  • Geographic Information Systems (GIS)

Background:

  • Existing ecosystem services (ES) models for agricultural conservation are often too complex for stakeholders.
  • There is a need for accessible tools to evaluate the economic and environmental impacts of conservation practices.

Purpose of the Study:

  • To develop a user-friendly, cloud-based WebGIS tool for communicating integrated ES modeling to conservation stakeholders.
  • To identify cost-effective conservation practices for achieving specific environmental targets.

Main Methods:

  • Integrated farm economic, watershed hydrologic, and soil carbon models within a spatial optimization framework.
  • Developed a WebGIS tool (ESAT) to visualize watershed data and analyze conservation practice costs and benefits.
  • Engaged conservation stakeholders throughout the development and training process.

Main Results:

  • The ESAT tool effectively supports decision-making by identifying cost-effective conservation practices for sediment, nutrient, and soil carbon improvements.
  • Stakeholders found the ESAT to be a useful tool for agri-environmental program decision-making.
  • The tool demonstrated functionalities for visualizing watershed characteristics and evaluating conservation practice scenarios.

Conclusions:

  • The developed WebGIS tool (ESAT) successfully integrates complex modeling for stakeholder use.
  • ESAT aids in identifying optimal conservation strategies to balance economic costs and environmental benefits.
  • Further simplification of the WebGIS tool is recommended to enhance user-friendliness.