GIS Mapping and Spatial Analysis using QGIS and R Training Course

GIS Mapping and Spatial Analysis using QGIS and R Training Course

This training course will equip participants with the necessary skills and knowledge on how to report, analyze, and disseminate data for all health programs.

Intermediate | 5 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title GIS Mapping and Spatial Analysis using QGIS and R Training Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,100/KES 75,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (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

Introduction

GIS Mapping and Spatial Analysis using QGIS and R Training Course offers a comprehensive introduction to using QGIS and R for effective spatial data handling and analysis. This course equips participants with the skills to create, visualize, analyze, and interpret spatial data to support decision-making across sectors like environmental management, urban planning, and resource management. Through hands-on exercises and real-world examples, participants will gain the practical expertise needed to address complex spatial data challenges with confidence.

Duration

5 days

Who Should Attend

  • Professionals in any field seeking to leverage GIS for decision-making.
  • GIS Analysts and Specialists
  • Urban Planners and Environmental Scientists
  • Government and Municipal Officials
  • Engineers and Surveyors
  • Natural Resource Managers
  • Data Analysts and Researchers

Personal Impact

By attending this course, participants will:

  • Gain proficiency in using QGIS and R for spatial data analysis, enhancing their technical skill set.
  • Develop the ability to interpret and present spatial data effectively, leading to more informed decision-making.
  • Acquire practical experience through hands-on exercises, enabling immediate application of skills in their professional roles.
  • Increase their value as professionals by mastering tools that are in high demand across various industries.
  • Build a solid foundation for further advanced studies or specialized roles in GIS and spatial analysis.

Organizational Impact

By enrolling employees in this course, organizations will:

  • Enhance their data-driven decision-making capabilities, leading to more accurate and effective planning and resource management.
  • Improve project outcomes through better spatial analysis and visualization, resulting in more informed and strategic initiatives.
  • Foster a culture of continuous learning and technical proficiency, positioning the organization at the forefront of technological advancements.
  • Increase efficiency and productivity by equipping staff with the skills to handle complex spatial data tasks independently.
  • Strengthen their competitive edge by utilizing advanced GIS tools to analyze and interpret spatial data for various applications, from urban planning to environmental conservation.

Course Objectives:

By the end of this 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.
02

Course Modules

Course Outline:

Module 1: 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 2: 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.
  • Real-Life Project: Developing a thematic map using QGIS

Module 3: 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 4: 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.
  • Real-Life Project: Performing complex spatial analysis in R and visualizing results in QGIS

Module 5: 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.
  • Real-Life Project: Building and presenting a complete spatial analysis project using QGIS and R
03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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2026 Schedules
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