Introduction to geospatial data visualization

Introduction to geospatial data visualization

Learn why big data and it's visualization is so important in the context of GIS and Map creation

Тhe course will introduce you to the basic ideas of the visualization of geospatial data

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You won’t regret it!

Introduction to geospatial data visualization course contains topics that cover a broad understanding of spatial data visualization. The students will understand what data visualization is and why it is important for geospatial professionals in the XXI century. The difference between data and information is discussed and the four main steps of creating a good data visualization. Attributes are widely discussed as they are the most important factor in data classification techniques. Mapping methods and basic rules for designing maps are covered as part of the traditional cartography lessons. For taking this course the students must have a basic understanding of GIS, vector and raster data, geometry and attributes.

Design maps as a visual communication tool

You won’t regret it!

The path to becoming an expert in GIS and cartography starts by knowing how to visualize your geospatial data. Learn how to pass the right message with your maps!


Geospatial Data Basics


  • Lesson 1: Data and information FREE TRIAL
  • Lesson 2: Data visualization
  • Lesson 3: Big data and 4th industrial revolution
  • Lesson 4: Sources of geospatial data

Visualization of attributes


  • Lesson 5: Attributes in the context of geovisualization FREE TRIAL
  • Lesson 6: What is classification?
  • Lesson 7: Unique values visualization
  • Lesson 8: Demo: Unique values visualization
  • Lesson 9: Demo: Classification of numerical data
  • Lesson 10: Demo: Manual classification method
  • Lesson 11: Classification tips
  • Lesson 12: Understanding your territory

Mapping methods


  • Lesson 13: Point maps
  • Lesson 14: Understanding contour maps
  • Lesson 15: Chropleth, cartogram and heatmaps
  • Lesson 16: Flow maps
  • Lesson 17: Diagram maps

Map design


  • Lesson 18: Map design basic rules
  • Lesson 19: Bad visualization examples
  • Lesson 20: Important questions for your audience
  • Lesson 21: Rules for designing clear and effective maps

What will you learn?

What data visualization is and why it is important

Understand attributes in terms of geospatial data visualization

Work with statistical data and use mapping methods correctly

Design maps as a visual communication tool

Any prerequisites?

Basic GIS knowledge

Understanding what geometry and attributes stand for

Student Profile?

Under/post graduate students

Master students and PhD candidates


Researchers and Academics

About Your Instructor

Eugenia Sarafova

Eugenia Sarafova

Chief Assistant Professor

My name is Eugenia Sarafova and I have PhD in Remote Sensing. I’ve worked for more than 10 years in different companies in the field of Geographic Information Systems, Marketing & Business Development, 6 of them at Esri Bulgaria. Now I'm Chief Assistant Professor at Sofia University where I teach Cartography, GIS in Environmental Management, Introduction to Aerospace Technologies. 

I’m a big fan of marketing, business development & innovations management and that's why I graduated an aMBA in 2016. I was honored to be part of the Forbes 30 Under 30 Class of 2016 and was nominated for Woman of the Year in 2017.


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