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GIS in Decision support of control of Vector Borne Disease in India Arena Srivastava B.N. Nag pal Rehab SaxenaNational Institute of Malaria Research Sec 8, Dark, New Delhi 110 077 1GIS based Malaria
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How to fill out gis in decision support

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To fill out GIS in decision support, follow these steps:
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Identify the purpose of the decision support system.
03
Determine the data requirements for the GIS.
04
Collect the necessary data and ensure its accuracy and completeness.
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Choose a suitable GIS software or platform.
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Set up the GIS by creating relevant layers, themes, and attributes.
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Import the collected data into the GIS.
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Analyze the data using various GIS tools and techniques.
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Generate meaningful visualizations or maps to aid decision-making.
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Interpret the results and draw insights from the GIS analysis.
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Use the GIS outputs in the decision support system to inform and guide decision-making processes.

Who needs gis in decision support?

01
GIS in decision support is beneficial for various individuals and organizations, including:
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- Urban planners and city governments: to analyze spatial data and make informed decisions about land use, infrastructure development, and resource allocation.
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- Environmental agencies: to monitor and manage natural resources, analyze environmental impact, and plan conservation efforts.
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- Transportation departments: to optimize routes, plan transportation networks, and analyze traffic patterns for efficient decision-making.
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- Emergency management agencies: to assess risks and vulnerabilities, plan disaster response strategies, and allocate resources effectively.
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- Business organizations: to analyze market trends, site selection, and customer segmentation for strategic decision-making.
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- Real estate developers: to identify potential development sites, evaluate property values, and assess market demand.
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- Scientists and researchers: to analyze spatial data, model phenomena, and make evidence-based conclusions.
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- Governments and policy makers: to support policy decisions on regional development, social planning, and resource management.

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