Everything about QGIS
In the QGIS Spatio-Temporal Analysis course, you will learn how to analyze and visualize geographic data in both space and time using QGIS, without any programming. You will work with widely used and up-to-date tools such as the QGIS Temporal Controller, TimeManager, and the Spatiotemporal LULC Analysis plugin to investigate changes, patterns, and trends over time in a variety of datasets.
Would you like to learn how to analyze changes, patterns, and trends in geographic data across both space and time, without having to code? In the QGIS Spatio-Temporal Analysis course, you’ll learn how to use QGIS independently to work with data where time plays a crucial role. You’ll discover how to investigate spatio-temporal processes for analysis, monitoring, and decision-making.
QGIS is a powerful open-source GIS platform for analyzing and visualizing geographic data. In this course, you’ll build on your QGIS fundamentals and learn to work with specialized tools and plugins for spatiotemporal analysis. You will work with, among other things, the QGIS Temporal Controller (for managing and visualizing time dimensions in layers), TimeManager (for time filters and animations), and the Spatiotemporal LULC Analysis plugin (for in-depth analysis of changes in land use and land cover over time). You will learn what these tools excel at and how to combine them effectively.
Spatio-temporal analysis in QGIS goes beyond animating maps. You will learn how to quantify changes, compare time steps, identify trends, and interpret spatial processes. In doing so, you will combine analysis with cartographic visualization to make developments clear and communicable.
In QGIS Spatio-Temporal Analysis, you explicitly integrate time into your GIS workflow. Whether you’re working on environmental and climate monitoring, land use, infrastructure, mobility, risk analysis, or research—this course shows you how to solve spatio-temporal problems practically and effectively within QGIS, without writing a single line of code.
You’ll work with open-source software, follow a hands-on approach, and develop skills that are immediately applicable in real-world GIS scenarios. Technically substantive, yet clearly explained and focused on both understanding and application.
Note: Knowledge of QGIS is a prerequisite for this course. Please complete our QGIS Basic Training first.
In this course, you’ll learn step by step how to use and analyze spatial data with a temporal dimension in QGIS. You’ll start with the basics: what spatio-temporal data is, how time is stored in GIS, and what analysis options QGIS offers for this.
Next, you’ll get hands-on experience with:
Through clear explanations and practical exercises, you will learn how to correctly interpret spatio-temporal results and apply them in analysis and communication.
This course makes spatio-temporal analysis accessible to GIS users. While time analysis is often complex or programming-oriented, this course demonstrates that you can work professionally right away using QGIS and plugins.
You will learn, among other things:
The course is designed for practical and independent learning, using open-source tools and with a strong focus on applicability.
This course is intended for GIS users who work with data in which time plays an important role. Do you work in the environment, climate, land use, infrastructure, mobility, spatial planning, research, or education? Then this course offers direct added value.
You don’t need programming knowledge, but you do need a basic understanding of QGIS. Have you already worked with geographic data and do you want to better understand changes and processes over time? Then QGIS Spatio-temporal Analysis is a logical next step.
On Day 1, you’ll lay the groundwork for working with spatiotemporal data in QGIS. You’ll learn what spatiotemporal data is, how time is represented in GIS, and which data types (vector and raster) are suitable for temporal analysis. The focus is on understanding and correctly configuring time in QGIS.
You’ll get hands-on experience preparing datasets with time attributes and learn to work with the QGIS Temporal Controller and TimeManager. You’ll discover how to activate time dimensions, define time steps, and filter or visualize data based on time. You’ll also learn how to visualize time series and changes using maps and animations.
By the end of Day 1, you will be able to:
Day 1 focuses on understanding, setting up, and visualizing spatiotemporal data within QGIS.
On Day 2, you’ll take it a step further and focus on analyzing and interpreting spatiotemporal processes. You’ll learn how to quantify changes, compare time steps, and identify trends in spatial data. The emphasis is on analysis rather than just visualization. You will work with the Spatiotemporal LULC Analysis plugin to analyze changes in land use and land cover over time. You will also learn how to combine multiple datasets, compare results, and draw conclusions about spatiotemporal developments. Attention is also given to presenting results for monitoring, reporting, and decision-making.
By the end of Day 2, you will be able to:
Day 2 focuses on deepening your understanding, analyzing, and applying spatiotemporal analyses in realistic GIS scenarios.
Participants will learn:
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
Spatio-temporal analysis allows you to gain insight into changes and processes over time. Examples include monitoring land use and urbanization, analyzing environmental and climate changes, tracking infrastructure development, studying mobility patterns, and analyzing risks and incidents over time. In this course, you will work with realistic examples that are directly applicable in policy, research, and practice.
In QGIS, you’ll use the Temporal Controller to manage and visualize temporal dimensions in layers, TimeManager for temporal filters and animations, and the Spatiotemporal LULC Analysis plugin to analyze and quantify changes across multiple time steps. Together, these tools enable you to work with time both visually and analytically.
No. All analyses and visualizations are performed using the QGIS graphical interface and the plugins provided. You will learn to understand the concepts behind spatiotemporal analysis, but you will apply them without writing any code. This makes the course ideal for GIS professionals who want to analyze time-dependent data but lack a technical programming background.
Yes, a basic understanding of QGIS is required to use the program effectively. If you do not have this basic understanding, we recommend that you first take the QGIS basics course.
