Geospatial Data Analytics Training | Day 2: QGIS Spatial Analysis & Practical Applications

Day 2 of our Geospatial Data Analytics Training at Data+ Rwanda focused on building on our QGIS skills through practical spatial analysis. After covering the fundamentals on Day 1, we dove deeper into QGIS and explored how spatial analysis tools can process, analyze, and extract insights from geospatial data. Key topics covered during the session included: • Buffer Analysis • Clipping Analysis • Adding and deleting spatial features • Clustering and masking techniques • Practical spatial data manipulation in QGIS • Hands-on application of QGIS analysis tools The session was highly practical, allowing trainees to work directly with QGIS and apply spatial analysis techniques to real-world scenarios. This recording captures the Day 2 session for trainees who want to review the concepts, follow along with the practical exercises, or catch up on what they missed. Training: Geospatial Data Analytics Organizer: Data+ Rwanda Day: 2 #GeospatialDataAnalytics #QGIS #GIS #SpatialAnalysis #DataPlusRwanda #GeospatialData