GIS
11
GIS (II)
Data Management and Digital Archaeology
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Course overview
Getting started
1
Data and research data management
2
Git and GitHub
Programming in R
3
Introduction to R
4
Best practices in programming
Data Science in R
5
Data Science Workflow
6
Count data and seriation
7
Compositional data
Databases
8
Databases (I)
9
Databases (II)
GIS
10
GIS (I)
11
GIS (II)
References
GIS
11
GIS (II)
11
GIS (II)
(get a map image displaying data from shape and raster files)
Hands-on Practice
10
GIS (I)
References