Anto Aasa, PhD, Senior Research Fellow
department of geography
University of Tartu


The aim: This introductory course provides students with a diverse set of skills of spatial analysis in R environment. The aim is to understand and explore the benefits of using a non-gui (coding/scripting) approach to method development for spatial analytics and statistics, based on the standard approaches in R.

These lessons assume no prior knowledge of the skills or tools. It is a hands-on teaching course, so the majority of this course will be together in front of a computer and working on exercises.


Learning outcomes:


Brief description: ntroductory course on concepts, skills, and tools for working with the Python and R scripting environments. Acquaintanceship with practical Python and R libraries for everyday scientific and professional GIS use, with a focus on automating different standard GIS-related tasks that support clear documentation of methods and productivity.
These lessons assume no prior knowledge of the skills or tools. It is a hands-on teaching course, so the majority of this course will be together in front of a computer and working on exercises.


All the materials are available via Study Information System and course webpage: http://aasa.ut.ee/Rspatial/


Time: Nov. 28 - Dec. 19, 2019


Schedule (R):

Type Date Time Content
practical session Nov 26 14:15…17:00 Introduction to R
practical session Nov 28 14:15…17:00 Data wrangling
practical session Dec 03 14:15…17:00 Simple thematic maps
practical session Dec 05 14:15…17:00 Mobility analysis
practical session Dec 10 14:15…17:00 Spatial interpolation
independent work Dec 12 14:15…17:00 Solving independent tasks
practical session Dec 17 14:15…17:00 Interactive maps & animations
independent work Dec 19 14:15…17:00 Solving independent tasks

Literature:

Slides:

Practical session:

  1. Introduction to R
  2. Data wrangling
  3. Simple thematic maps
  4. Mobility analysis
    1. GPS & mobile data
    2. crime data
  5. Spatial interpolation
  6. Interactive maps & animations

Passing the course:

To pass the course, students must send the results of their homeworks to e-mail .

List of homeworks:


Author: Anto Aasa
LTOM.02.025
Last update: 2019-12-17 13:47:35


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