Check out these courses on geography, statistics, QGIS, and working with geospatial data in R/Python. These resources could be useful for anyone who integrates geography and statistics.
Qgis
- GEE Time Series Exlorer is a QGIS plugin for interactive exploration of temporal raster data available via the Google Earth Engine (GEE) Data Catalog.
- PCRaster is a collection of software targeted at the development and deployment of spatio-temporal environmental models. Learn how to use it in QGIS and Python by following these video tutorials.
- Here is an advanced tutorial on how to create 3D OpenStreetMap city models with QGIS and Aerialod.
- Here is a thorough ebook for learning GIS. Subjects include data visualization with QGIS, GIS and analysis tools, Earth observation and imagery analysis, and geospatial data processing.
- This video shows you how to use the STAC API Browser Plugin in QGIS to search for Sentinel-2 or Landsat images for an AOI and load the images as Cloud Optimized GeoTIFFs (COGs).
- This blog post demonstrates visualizing a 12.5 GB GML file in QGIS by converting the data to FlatGeobuf format and consuming it directly from a cloud server.
- This tutorial shows you how to use the Refactor Fields tool in QGIS to create multiple new fields in a single step, and demonstates using expressions to create and reproject geometries.
- This session is intended to introduce you to geocoding with practical examples. QGIS native tools and plugins, as well as QGIS Python API classes for geocoding will be considered.
- Here is a step-by-step guide on quantifying land-use within a region using QGIS processing tools and the ESA WorldCover dataset.