Mapping and Spatial Analysis with GIS

Enhancing Decision-Making through Geospatial Insights

20 - 24 Apr. 2025

Dubai - 5000

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To provide professionals with practical skills in Geographic Information Systems (GIS) for mapping, spatial analysis, and leveraging geospatial data to support strategic planning and informed decision-making.
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20, Apr 2025
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Mapping and Spatial Analysis with GIS

20, Apr 2025
Dubai
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Details

Geographic Information Systems (GIS) are powerful tools for analyzing spatial data and visualizing geographic information. This course offers a comprehensive approach to mapping and spatial analysis, enabling participants to collect, manage, and interpret geospatial data effectively. Through hands-on exercises and real-world examples, participants will learn how to create detailed maps, perform spatial analysis, and apply GIS technology to solve complex problems in urban planning, environmental management, logistics, and more.

Target Group

Target Group:

  • GIS Analysts and Technicians
  • Urban Planners and Environmental Managers
  • Data Analysts and Researchers
  • Surveyors and Cartographers
  • Professionals in Logistics, Transport, and Public Services
  • Individuals involved in spatial data analysis and mapping

Goals

  • Understand the core principles of GIS and spatial analysis.
  • Develop skills to create and interpret digital maps and spatial data.
  • Learn advanced techniques for spatial analysis and geoprocessing.
  • Enhance capabilities in using GIS software for data visualization and reporting.
  • Apply GIS tools to support data-driven decision-making in various industries.

Target Competencies

Targeted Competencies:

  • GIS Mapping and Spatial Analysis
  • Data Collection and Management
  • Visualization and Reporting Skills
  • Analytical Thinking and Problem Solving
  • Strategic Planning and Decision Support

Outlines

Introduction to GIS and Spatial Analysis

  • What is GIS? Understanding its components and applications
  • Overview of mapping principles and spatial data types
  • The role of spatial analysis in decision-making
  • Case studies of GIS applications in different industries

Data Collection and Management in GIS

  • Techniques for gathering spatial data (field surveys, remote sensing, GPS)
  • Importing and managing geospatial data within GIS software
  • Data cleaning, transformation, and database management
  • Practical exercises in building and maintaining spatial databases
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