Geographic Information Systems (GIS)

Course Info

Length: 1 Week

City: Kuala Lumpur

Type: In Classroom

Available Dates

  • Oct-21-2024

    Kuala Lumpur

  • Nov-18-2024

    Kuala Lumpur

  • Dec-16-2024

    Kuala Lumpur

Dates in Other Venues

  • Oct-07-2024

    Dubai

  • Oct-07-2024

    Barcelona

  • Oct-14-2024

    Amsterdam

  • Oct-14-2024

    London

  • Oct-21-2024

    Istanbul

  • Oct-28-2024

    Paris

  • Oct-28-2024

    Singapore

  • Nov-04-2024

    Dubai

  • Nov-04-2024

    Barcelona

  • Nov-11-2024

    London

  • Nov-11-2024

    Amsterdam

  • Nov-18-2024

    Istanbul

  • Nov-25-2024

    Singapore

  • Nov-25-2024

    Paris

  • Dec-02-2024

    Dubai

  • Dec-02-2024

    Barcelona

  • Dec-09-2024

    Amsterdam

  • Dec-09-2024

    London

  • Dec-16-2024

    Istanbul

  • Dec-23-2024

    Singapore

  • Dec-23-2024

    Barcelona

  • Dec-30-2024

    Paris

  • Dec-30-2024

    Dubai

Course Details

Course Outline

5 days course

Introduction to GIS , Spatial Data Sources and Data Models

  • Understanding spatial data and its importance
  • History and evolution of GIS technology
  • Components of GIS: hardware, software, data, people, methods
  • Types of spatial data: vector vs. raster
  • Data acquisition methods: GPS, remote sensing, surveys
  • Coordinate systems and projections
  • Attribute data and relational databases

 

 

GIS Software and Tools

  • Introduction to popular GIS software (e.g., ArcGIS, QGIS)
  • User interface and basic operations
  • Data input, editing, and manipulation

Spatial Analysis

  • Spatial queries and selection
  • Geoprocessing: buffering, clipping, merging
  • Spatial analysis techniques: overlay, proximity analysis
  • Collect, manage, and analyze spatial data using GIS software

Cartography and Map Design

  • Principles of cartography
  • Creating effective and informative maps
  • Symbolization, labeling, and map layout
  • Understanding color theory and its implications for map readability.
  • Using color effectively to represent data categories, gradients, and patterns.
  • Considering colorblind-friendly palettes to ensure inclusivity.

 

Applications of GIS, Ethical and Legal Considerations in GIS

  • Urban planning and land management
  • Environmental analysis and natural resource management
  • Transportation and logistics
  • Epidemiology and public health
  • Privacy concerns and data security
  • Intellectual property and copyright
  • Ethical use of spatial data
  • Case studies and real-world examples