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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 with Cartopy
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 and Critical Theory
-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 and animated maps with QGIS
Publishing interative visualizations
Exercise 4: Mapping flying squirrels
Final project
Final portfolio
Publishing interative visualizations
Binder
Repository
Suggest edit
.ipynb
.pdf
Map medium, tools, and future directions
Contents
Lecture slides
Video recording
Map medium, tools, and future directions
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Lecture slides
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Video recording
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Contents
Lecture slides
Video recording
