Geographic Information Systems (GIS)

Course Info

Length: 1 Week

City: Singapore

Type: In Classroom

Available Dates

  • Feb-03-2025

    Singapore

  • May-05-2025

    Singapore

  • Aug-04-2025

    Singapore

  • Nov-03-2025

    Singapore

Dates in Other Venues

  • Dec-30-2024

    Paris

  • Dec-30-2024

    Dubai

  • Jan-06-2025

    Dubai

  • Feb-03-2025

    Istanbul

  • Feb-03-2025

    Paris

  • Feb-03-2025

    Barcelona

  • Feb-03-2025

    Kuala Lumpur

  • Feb-03-2025

    Amsterdam

  • Feb-03-2025

    London

  • Mar-24-2025

    Dubai

  • Apr-07-2025

    London

  • May-05-2025

    Amsterdam

  • May-05-2025

    Paris

  • May-05-2025

    Istanbul

  • May-05-2025

    Kuala Lumpur

  • May-05-2025

    Barcelona

  • May-05-2025

    Dubai

  • June-23-2025

    London

  • July-07-2025

    Dubai

  • Aug-04-2025

    London

  • Aug-04-2025

    Paris

  • Aug-04-2025

    Barcelona

  • Aug-04-2025

    Istanbul

  • Aug-04-2025

    Amsterdam

  • Aug-04-2025

    Kuala Lumpur

  • Sep-22-2025

    Dubai

  • Oct-06-2025

    London

  • Nov-03-2025

    Barcelona

  • Nov-03-2025

    Paris

  • Nov-03-2025

    Istanbul

  • Nov-03-2025

    Dubai

  • Nov-03-2025

    Kuala Lumpur

  • Nov-03-2025

    Amsterdam

  • Dec-22-2025

    London

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