Anto Aasa, PhD, senior research fellow
Mobility Lab
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 for students is to understand and explore the benefits of using a non GUI approach for spatial analytics and statistics, based on the standard approaches in R & RStudio.
Learning outcomes:
After completing the course student
knows basic concepts, skills, and tools for working with the R scripting environment;
is familiar with set of of practical R libraries for everyday scientific and professional GIS use;
is able to solve common data-related tasks using R in concrete GIS (Geographic Information System) projects;
is competent of using spatial and non-spatial data in order to answer a research question;
knows how to conduct and automate different standard GIS related tasks that support clear documentation of methods in the R scripting environment;
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 independent work in front of a computer and working on exercises.
All the materials are available via course webpage ... tbc..
Anmelderegeln
Diese Veranstaltung gehört zum Anmeldeset "Zeitgesteuerte Anmeldung: Geospatial Analysis with R - by Dr. Anto Aasa".
Folgende Regeln gelten für die Anmeldung:
Die Anmeldung ist möglich von 20.01.2021, 00:00 bis 15.03.2021, 23:59.
Anmeldemodus
Die Anmeldung ist verbindlich, Teilnehmende können sich nicht selbst austragen.
