GIS Data Collection, Analysis, Visualization and Mapping Course

GIS Data Collection, Analysis, Visualization and Mapping Course

Course Date Duration Location Registration
01/07/2024 To 12/07/2024 10 Days Nairobi Kenya
01/07/2024 To 12/07/2024 10 Days Nairobi Kenya
29/07/2024 To 09/08/2024 10 Days Nairobi Kenya
26/08/2024 To 06/09/2024 10 Days Kigali,Rwanda
23/09/2024 To 04/10/2024 10 Days Nairobi Kenya
21/10/2024 To 01/11/2024 10 Days Nairobi Kenya
18/11/2024 To 29/11/2024 10 Days Nairobi Kenya
16/12/2024 To 27/12/2024 10 Days Nairobi Kenya


The GIS Data Collection, Analysis, Visualization, and Mapping course provides participants with a comprehensive understanding of Geographic Information System (GIS) concepts and practical skills. The course covers data collection techniques, data analysis methods, visualization tools, and mapping techniques using GIS software. Participants will learn how to effectively collect, analyze, visualize, and map spatial data for various applications.

Objective: The primary objective of this course is to equip participants with the knowledge and skills necessary to utilize GIS technology for data collection, analysis, visualization, and mapping. By the end of the course, participants will be able to:

  1. Understand the fundamentals of GIS and its applications.
  2. Collect and manage spatial data using different data collection techniques.
  3. Perform spatial analysis and derive meaningful insights from GIS data.
  4. Visualize spatial data using various techniques and tools.
  5. Create professional-quality maps for effective communication of spatial information.
  6. Apply GIS technology to solve real-world problems in different domains.
  7. Use GIS in decision-making processes and planning activities.

Organizational Benefits:

Organizations that invest in GIS training for their employees can benefit in various ways, including:

  1. Improved data management: Participants will learn how to collect and manage spatial data effectively, leading to enhanced data quality and organization.
  2. Enhanced decision-making: GIS enables data-driven decision-making by providing spatial insights and analysis.
  3. Increased efficiency: Automation of data collection and analysis processes using GIS tools can save time and resources.
  4. Better planning and resource allocation: GIS aids in spatial planning, resource allocation, and optimizing operations.
  5. Improved communication: Effective visualization and mapping techniques allow for clear and concise communication of spatial information to stakeholders.
  6. Enhanced problem-solving: GIS provides a powerful toolset for analyzing complex spatial problems and finding solutions.
  7. Competitive advantage: Organizations that utilize GIS technology gain a competitive edge by leveraging spatial data for better decision-making.

Who Should Attend:

This course is suitable for professionals in various fields, including:

  1. GIS analysts and specialists
  2. Urban planners and environmental scientists
  3. Surveyors and cartographers
  4. Geographers and geospatial analysts
  5. Engineers and infrastructure planners
  6. Researchers and data analysts working with spatial data
  7. Government officials and policymakers involved in planning and development
  8. Students or recent graduates pursuing a career in GIS or related fields


10 Days

Course Outline

  1. Open Source GIS and QGIS:
    • Introduction to open source GIS software
    • QGIS installation and configuration
    • QGIS tools and plugins
  2. Introduction to GIS and Spatial Data:
    • Fundamentals of Geographic Information Systems (GIS)
    • Overview of spatial data types and formats
    • Introduction to GIS software and tools
  3. Coordinate Systems and Map Projections:
    • Understanding coordinate systems
    • Map projections and their applications
    • Coordinate system transformations
  4. Data Collection Techniques:
    • Global Positioning System (GPS) data collection
    • Remote sensing data acquisition
    • Field surveys and data capture methods
  5. Data Management and Database Design in GIS:
    • Creating and managing GIS databases
    • Data storage and organization
    • Database design principles in GIS
  6. Spatial Data Editing and Quality Assurance:
    • Editing spatial data
    • Topology and data integrity checks
    • Quality assurance and data validation techniques
  7. Spatial Analysis Techniques:
    • Spatial overlay and intersection analysis
    • Buffering and proximity analysis
    • Spatial interpolation techniques
  8. Geoprocessing and Spatial Queries:
    • Geoprocessing tools and operations
    • Spatial queries and selections
    • Attribute and spatial join operations
  9. Geocoding and Address Matching:
    • Geocoding addresses to spatial coordinates
    • Working with address databases
    • Address matching techniques and best practices
  10. Data Visualization and Cartography Principles:
    • Principles of cartographic design
    • Symbolization and thematic mapping
    • Labeling and annotation techniques
  11. Advanced Mapping Techniques:
    • Choropleth and graduated symbol maps
    • Data-driven mapping techniques
    • Advanced labeling and annotation methods
  12. Web Mapping and Interactive GIS:
    • Publishing GIS data on the web
    • Creating interactive web maps
    • Web mapping technologies and platforms
  13. Remote Sensing and Image Analysis:
    • Introduction to remote sensing concepts
    • Image interpretation and classification
    • Extracting information from satellite imagery
  14. LiDAR and DEM Analysis:
    • Understanding LiDAR data and point clouds
    • DEM generation and analysis
    • Terrain analysis and elevation modeling
  15. Spatial Modeling and Simulation:
    • Introduction to spatial modeling techniques
    • Creating spatial models for analysis
    • Simulating spatial processes and scenarios
  16. Spatial Statistics and Hotspot Analysis:
    • Analyzing spatial patterns and distributions
    • Exploratory spatial data analysis (ESDA)
    • Hotspot detection and clustering analysis
  17. Network Analysis and Routing:
    • Network datasets and analysis
    • Shortest path and routing algorithms
    • Network analysis for transportation and logistics
  18. 3D GIS and Terrain Analysis:
    • Working with 3D spatial data
    • Terrain visualization and analysis
    • 3D modeling and visualization techniques
  19. Mobile GIS and Field Data Collection:
    • Mobile GIS technologies and applications
    • Field data collection methods and tools
    • Integrating field data with GIS databases
  20. GIS in Urban Planning and Development:
    • Urban planning applications of GIS
    • Land use analysis and modeling
    • Urban infrastructure management
  21. GIS in Environmental Analysis and Conservation:
    • Environmental impact assessment using GIS
    • Habitat modeling and conservation planning
    • Natural resource management with GIS
  22. GIS in Transportation Planning:
    • Transportation network analysis and modeling
    • Traffic flow analysis and optimization
    • Route planning and logistics management
  23. GIS in Emergency Management:
    • Disaster mapping and response planning
    • Risk assessment and vulnerability analysis
    • Emergency evacuation planning
  24. GIS in Public Health:
    • Disease mapping and surveillance
    • Health services accessibility analysis
    • Epidemiological studies using GIS
  25. GIS in Archaeology and Cultural Heritage:
    • Cultural heritage mapping and preservation
    • Archaeological site analysis and interpretation
    • Cultural landscape assessment
  26. GIS in Natural Hazards Analysis:
    • Flood mapping and risk assessment
    • Landslide susceptibility mapping
    • Earthquake impact analysis
  27. Spatial Data Visualization Techniques:
    • Interactive mapping using GIS software
    • Data exploration and visual analytics
    • Storytelling with maps
  28. Spatial Data Mining and Machine Learning:
    • Techniques for analyzing spatial patterns
    • Predictive modeling using machine learning
    • Geostatistics and spatial regression
  29. GIS Data Integration and Analysis:
    • Integrating data from multiple sources
    • Spatial data fusion and integration techniques
    • Spatial decision support systems
  30. GIS Project Management:
    • Project planning and implementation
    • GIS project lifecycle and best practices
    • Project documentation and reporting

General Notes

·         All our courses can be Tailor-made to participants' needs

·         The participant must be conversant in English

·         Presentations are well-guided, practical exercises, web-based tutorials, and group work. Our facilitators are experts with more than 10 years of experience.

·         Upon completion of training the participant will be issued with a Foscore development center certificate (FDC-K)

·         Training will be done at the Foscore development center (FDC-K) centers. We also offer inhouse and online training on the client schedule

·         Course duration is flexible and the contents can be modified to fit any number of days.

·         The course fee for onsite training includes facilitation training materials, 2 coffee breaks, a buffet lunch, and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance, and other personal expenses.

·         Accommodation, pickup, freight booking, and Visa processing arrangement, are done on request, at discounted prices.

·         Tablet and Laptops are provided to participants on request as an add-on cost to the training fee.

·         One-year free Consultation and Coaching provided after the course.

·         Register as a group of more than two and enjoy a discount of (10% to 50%)

·         Payment should be done before commence of the training or as agreed by the parties, to the FOSCORE DEVELOPMENT CENTER account, so as to enable us to prepare better for you.

·         For any inquiries reach us at or +254712260031




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