The British Academy For Training And Development offers a comprehensive course on Geographic Information Systems (GIS), which focus on large-scale mapping and relies on significant financial resources provided by governments, administrative departments, and municipalities. The primary aim of GIS is to assist policymakers and administrators in making informed decisions about natural and human resources. It is also valuable for scientific research and development planning.

GIS is technically defined as a computer system for collecting, managing, processing, and analyzing spatial information that describes geographical features on Earth's surface. These features can be natural, such as forests and rivers, or artificial, such as buildings, roads, bridges, and dams. GIS also examines natural and environmental phenomena, including tides, pollution, and desertification.

The application of GIS is not confined to vast areas; it can also be employed to study small neighborhoods, analyzing geographic features like houses and utility networks (electricity, water, and telecommunications) or even within a single company to assess its computer network.

Who should attend? 

• Workers in planning centers.
• Department managers in municipalities.
• Employees in the systems and environment departments.
• Secretariat and municipal employees.
• Workers in the military sectors, electricity, water and communications companies.
• Engineering consulting and planning companies.
• Road and railway companies.
• All researchers and students in engineering and computer disciplines.
• All those interested in the field of maps, surveying, geographic information systems (GIS), and the field of statistics and analysis, including researchers and students.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Basic concepts of GIS.
• The structure and components of ArcGIS.
• View spatial information.
• Search and query in GIS databases.
• Modify spatial and descriptive data.
• Link and build relationships of tables with maps.
• Create maps, reports and graphs.

• Introduction to Geographic Information Systems
  • Definition of GIS and its importance.
  • Components of GIS (data, software, users).
  • Practical applications in daily life.
• Types of geographic data
  • Spatial data vs. Attribute data.
  • Sources of geographic data (maps, satellites, remote sensing).
  • Data format (maps, raster data, linear data).
• GIS Tools and Software
  • Introduction to popular software (ArcGIS, QGIS)
  • Installing software and setting up the work environment.
  • Importing and preparing data for use.
• Creating maps and analyzing data
  • How to create digital maps.
  • GIS drawing and design tools
  • Applying spatial analysis techniques (such as proximity analysis, spatial analysis).
• Geographic data processing
  • Data management: storing and organizing data.
  • Performing transformations and analysis (such as converting from one coordinate system to another).
  • Exploring and visualizing data.
• Spatial data analysis
  • Advanced spatial analysis tools (such as statistical analysis, data modeling).
  • Spatial analysis for determining project locations.
  • Using GIS systems in urban planning
• GIS applications in urban planning.
  • GIS applications in regional planning.
  • Natural resources and emergency management
  • Using GIS in resource management (water, forests).
• GIS applications in emergency response and disaster planning.
  • Remote sensing techniques
  • Introduction to remote sensing techniques.
  • Integrating remotely sensed data with GIS systems
• GIS applications in sustainable development
  • Using GIS In sustainable development projects.
  • Environmental impact analysis and decision support.
• Data modeling and network analysis
  • The concept of data modeling in GIS
  • Network analysis tools (such as road and social network analysis).
• Data sharing and collaboration across GIS
  • GIS collaboration platforms such as ArcGIS Online)
  • How to share data and projects with teams.
• Future trends in GIS
  • Recent innovations and developments in GIS
  • Using artificial intelligence and machine learning in spatial analysis.
  • Discuss future trends and their impact on GIS.