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Course information
General information
Course environment
Grading
Learning goals
Create a Python GIS environment
Installing Python and Python packages
Use of AI tools
Resources
License and Terms of Use
Lesson 1
Lesson 1: Introduction to Cartography
Working with Map Projections
Programming vs. GIS software for Cartography
-Practical
Tutorial 1: overview
Python approach: A simple thematic map
QGIS approach: A simple thematic map
Exercise 1: Building Your Own Thematic Map
Lesson 2
Lesson 2: Visual hierarchy and colors
Digital color systems
Color schemes
-Practical
Tutorial 2: overview
Global static map
Global static map of flight routes – the QGIS approach
A Local Static Map - Visualizing PPGIS Data from Helsinki
A Local Static Map - Visualizing PPGIS Data from Helsinki: the QGIS approach
Exercise 2: Static Local/Global map
Lesson 3
Cartographic Story Telling, geovisualization, user experience
-Practical
Tutorial 3: overview
Non-Cartographic Representation of Geospatial Data
Big data and cartography
Cartograms with QGIS
Visualizing OD mobilities & edgebundling in QGIS
Exercise 3
Lesson 4
Map medium, tools, and future directions
-Practical
Tutorial 4: overview
Interactive visualizations I
Interactive visualizations II
AI and other tools for Cartography
Exporting web maps from QGIS
Spatiotemporal data exploration with QGIS
Publishing interactive visualizations
Exercise 4: Mapping flying squirrels
Final project
Final portfolio
Publishing interactive visualizations
Extras (optional)
Hillshade using elevation model (Optional)
Index
