Manipulating and analyzing raster data can be intimidating, as it often appears more complex than vector data. However, raster data—such as satellite imagery or forest loss information—is essential for environmental and geographic storytelling. For example others, it enables journalists to assess vegetation health, visualize floods or droughts, and calculate deforested areas, even when true-colour satellite imagery is obscured by clouds.
In this hands-on session, participants will learn the key functions in QGIS needed to work with raster data. This includes loading raster layers, managing projections, setting band combinations (such as false color) for analysis, styling raster layers to enhance visibility, and performing raster calculations.
To attend this session, participants should have basic QGIS skills.
Before the session, please install QGIS on your laptops and make sure it is working properly. Download from: https://www.qgis.org/en/site/forusers/download.html
If you encounter any issues during installation, this guide may help: https://www.qgis.org/resources/installation-guide/
In this session we will explore AI assisted code editors, and go over the obscure but necessary features that enable you to write web scrapers easily. We'll walk through examples of how to approach unfamiliar pages and web technologies, and how it's already being used to speed up development substantially.
To get the most out of this session, you should have basic knowledge of web scraping in Python.
We know that thousands of lines in a dataset can be intimidating, especially if you’re not a programmer. Spreadsheets can do the heavy lifting — and mastering them is easier than you expect!
In this session, we will walk you through three different ways to dive into data using nothing but spreadsheet tools. Along the way, we’ll show you how to cross-check your calculations, ensuring your findings are accurate and reliable. Whether you’re a complete beginner or have already used spreadsheets in your work, you’ll leave with practical skills to handle data confidently without ever touching a line of code. Bring your laptop and join us to discover how easy and powerful data analysis can be!
