# General information

• Course number: 128.1.0043
• Time: Sunday 16:10-19:00
• Place: Building 72, room 249
• Instructor: Michael Dorman ()

# Lectures

Lesson Date Slides Exercise
01 2018-10-28 The R environment (89)
02 2018-11-11 Vectors (62) Exercise 1 (Solution)
03 2018-11-18 Time series and function definition (38)
04 2018-11-22 Tables, conditionals and loops (78) Exercise 2 (Solution)
05 2018-11-25 Matrices and rasters (74)
06 2018-12-02 Raster algebra (71) Exercise 3 (Solution)
07 2018-12-13 Vector layers (83)
08 2018-12-16 Geometric operations with vector layers (84) Exercise 4 (Solution)
09 2018-12-23 Geometric operations with rasters (55)
10 2018-12-27 Working with spatio-temporal data (85) Exercise 5 (Solution)
11 2018-12-30 Combining rasters and vector layers (73)
12 2019-01-06 Spatial interpolation of point data (66) Exercise 6 (Solution)
13 Exam question examples (18)

# Other resources

### Papers

• Pebesma, E., Bivand, R. S. (2005). Classes and Methods for Spatial Data: the sp Package. R news, 5(2), 9-13. [PDF]
• Pebesma, E. (2018). Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal, 10(1):439-446. [PDF]

### Books

#### General

• Murrell, P. (2010). Introduction to Data Technologies. Chapman and Hall/CRC. [PDF] [Website]
• Wickham, H. (2014). Advanced R. Chapman and Hall/CRC. [HTML]

#### Spatial data

• Hengl, T. (2009). A Practical Guide to Geostatistical Mapping. [PDF]
• Lovelace, R., Nowosad, J., Muenchow, J. (2019). Geocomputation with R. Chapman and Hall/CRC. [HTML]
• Pebesma, E., Bivand, R. (in preparation). Spatial Data Science. [HTML]