B BGU course 2021
Last updated: 2021-03-31 00:29:17
B.1 Course aims
- General knowledge in programming
- Overview of spatial data processing and analysis in R
B.2 Course details
- Course number: 128.1.0043
- Time: Sunday 16:10-19:00
- Place: Building 72, room 245
- Instructor: Michael Dorman (dorman@post.bgu.ac.il)
- Grading: 6 exercises (50%) + exam (50%)
- Requirements:
- Basic knowledge of GIS (e.g., “Intro to GIS” course)
- Self study
- Getting help:
- Forum on Moodle (http://moodle2.bgu.ac.il)
- Meetings (schedule by e-mail)
B.3 Lecture plan
| Lesson | Date | Chapter | Exercise |
|---|---|---|---|
| 01 | 2020-10-25 | The R environment | |
| 02 | 2020-11-01 | Vectors | Exercise 1 |
| 03 | 2020-11-02 | Time series and function definitions | |
| 04 | 2020-11-08 | Tables, conditionals and loops | Exercise 2 |
| 05 | 2020-11-15 | Matrices and rasters | |
| 06 | 2020-11-22 | Raster algebra | Exercise 3 |
| 07 | 2020-11-29 | Vector layers | |
| 08 | 2020-12-06 | Geometric operations with vector layers | Exercise 4 |
| 09 | 2020-12-20 | Geometric operations with rasters | |
| 10 | 2020-12-27 | Combining rasters and vector layers | Exercise 5 |
| 11 | 2021-01-03 | Working with spatio-temporal data | |
| 12 | 2021-01-10 | Spatial interpolation of point data | Exercise 6 |
B.4 Exercise submission dates
| Exercise | Date |
|---|---|
| Exercise 1 | 2020-11-15 |
| Exercise 2 | 2020-11-29 |
| Exercise 3 | 2020-12-27 |
| Exercise 4 | 2021-01-17 |
| Exercise 5 | 2021-01-31 |
| Exercise 6 | 2021-02-14 |
B.5 Exercise instructions
B.5.1 Guidelines
- Submission is through Moodle only
- The submission should be a single R code file
- File name is your last name + exercise number, such as
dorman_01.R - The code needs to run as is, assuming that:
- All required packages are installed
- All data files are in the user’s working directory
- Do not include
install.packagesexpressions - Do include
libraryexpressions - Do not include
setwdexpressions - Self-check:
- Start a new R session
- Manually set the working directory to where the data files are
- Run the entire script
- Late submission up to -20%, and additional -10% per week, unless coordinated in advance
- The code file should include the exercise number, your first name and last name (as comments), and mark the relevant code sections for each question (using comments). The necessary
libraryexpressions can be placed at the beginning of the script. For example:
# Exercise 01
# Michael Dorman
library(stars)
# Question 01
r = read_stars("MOD13A3_2000_2019.tif")
plot(r[,,,1])
# Question 02
...B.5.2 Generality
- The code needs to be as general as possible:
- Do not use specific values except the ones given in the question
- When there are intermediate results—assign them to a variable and use the variable, not the value
- Question: what is the last value of
c(5,3,1,7,2,3,2,6)? - Good solution:
x = c(5,3,1,7,2,3,2,6)
x[length(x)]
## [1] 6- Bad solution:
x = c(5,3,1,7,2,3,2,6)
x[8]
## [1] 6B.5.3 Brackets
- Use brackets to make sure the right order of operations is done
- Question: print the subset of the last four values in
c(5,3,1,7,2,3,2,6) - Correct solution:
x = c(5,3,1,7,2,3,2,6)
x[(length(x)-3):length(x)]
## [1] 2 3 2 6- Wrong solution:
x = c(5,3,1,7,2,3,2,6)
x[length(x)-3:length(x)]
## [1] 2 7 1 3 5B.5.4 Required value or output
- Note which outputs or printouts are requested
B.5.5 Packages
- Do not use the
sp,rgeos,rgdalandrasterpackages in the exercises.