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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

Lesson 2: Visual hierarchy and colors

Contents

Lecture slides
Video recording

Lesson 2: Visual hierarchy and colors#

Main topics:

Visual hierarchy in cartography
Colours in cartography

Lecture slides#

Video recording#

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Exercise 1: Building Your Own Thematic Map

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Digital color systems

Contents

Lecture slides
Video recording

By Kamyar Hasanzadeh

© Copyright 2024, Kamyar Hasanzadeh.

Last updated on 25 September 2024.