Training Course in GIS Mapping and Spatial Analysis Using QGIS and R
The GIS Mapping and Spatial Analysis Using QGIS and R Training Course is a hands-on program designed to equip participants with practical skills in Geographic Information Systems (GIS), spatial data analysis, and data-driven decision-making.
Course Overview
| Course Title | Training Course in GIS Mapping and Spatial Analysis Using QGIS and R |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Duration | 5 Days |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | USD 500/KES 55,000 (Exclusive of VAT) |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
The GIS Mapping and Spatial Analysis Using QGIS and R Training Course is a hands-on program designed to equip participants with practical skills in Geographic Information Systems (GIS), spatial data analysis, and data-driven decision-making.
This course integrates QGIS, a powerful open-source GIS platform, with R, a leading statistical and data analysis programming language, to support advanced spatial analysis and visualization.
You will learn how to collect, manage, analyze, and visualize spatial data for use in:
- Environmental management
- Urban planning
- Public health
- Natural resource management
- Disaster risk reduction
- Development research.
What is spatial data?
Spatial data refers to information that describes the location, shape, and relationships of features on the Earth’s surface or in geographic space.
The course emphasizes real-world workflows, including spatial data preparation, mapping, geoprocessing, spatial statistics, and reproducible analysis using R.
Duration
5 days
Who Should Attend This Course?
This training course is ideal for:
- Professionals in any field seeking to leverage GIS for decision-making.
- GIS analysts and specialists
- Urban planners and environmental scientists
- Government and municipal officials (planners)
- Engineers and surveyors
- Natural resource managers
- Data analysts and researchers
- Development professionals
What are the Key Skills from This Course?
- GIS mapping and cartographic visualization
- Spatial data collection and management
- Spatial analysis and geoprocessing using QGIS
- Statistical and spatial analysis using R
- Raster and vector data analysis
- Spatial data visualization and mapping automation
- Spatial modeling and interpretation
- Application of GIS for planning, research, and decision-making
Course Objectives
By the end of this training course, participants will be able to:
- Understand the basics of GIS and spatial data
- Utilize QGIS for mapping and spatial data analysis
- Perform advanced spatial analysis using R
- Integrate QGIS and R for comprehensive spatial analysis
- Apply GIS and spatial analysis techniques to real-world scenarios
Training Approaches and Methodology
- Interactive lectures
- Live demonstrations
- Hands-on exercises
- Group discussions
- Real-world case studies
- Knowledge checks and quizzes
- Collaborative group work
Course Modules
Course Outline
Module I: Introduction to GIS and Spatial Data
- Fundamentals of GIS and its applications
- Types of spatial data: raster and vector
- Coordinate systems and map projections
- Data sources and data acquisition
- Introduction to QGIS: interface and basic functionalities
- Case Study: Examples of GIS mapping and spatial analysis projects
Module II: Working with QGIS
- Data import and export in QGIS
- Layer symbology and visualization techniques
- Attribute data management and table operations
- Spatial data editing and digitizing
- Creating and designing maps for presentation
- Hands-on Exercise: Developing a thematic map using QGIS
Module III: Spatial Analysis with QGIS
- Basic spatial analysis: buffer, intersect, and union
- Overlay analysis and spatial joins
- Terrain analysis: DEM, slope, and aspect
- Network analysis: shortest path and service areas
- Raster data analysis and raster calculator
- Case Study: Analyzing environmental data with R
Module IV: Introduction to Spatial Analysis with R
- Overview of R and RStudio for spatial analysis
- Importing and handling spatial data in R
- Spatial data visualization with ggplot2
- Basic spatial analysis with sf and raster packages
- Automating spatial workflows with R scripts
- Practical session: Performing complex spatial analysis in R and visualizing results in QGIS
Module V: Advanced Spatial Analysis with QGIS and R Integration
- Integrating QGIS and R for spatial analysis
- Spatial interpolation and kriging with R
- Geostatistical analysis and modeling in R
- Customizing QGIS with Python and R scripts
- Case studies and real-world applications
- Case study: Building and presenting a complete spatial analysis project using QGIS and R
Course Administration
This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.
Accreditation
Participants will receive a Tech For Development Certificate of Course Completion.
Training Venue
Held at the Tech For Development Training Centre.
Accommodation & Airport Transfer
Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
Customised training available.
Payment
Send proof of payment to letstalk@techfordevelopment.com.
