GEOG3915 Practicals
1
github-repo: rstudio/bookdown-demo
1.1
Structure
1.2
R Refresh (if you have not used R before)
1.2.1
Part 1. Background
1.2.2
Part 2. Your first R code
1.2.3
Some Tasks:
1.2.4
Packages
1.2.5
Answers to Tasks
1.3
Summary
2
Refresh: Using R for data and spatial data
2.1
Introduction
2.1.1
Packages
2.1.2
Data
2.2
R as a GIS
2.2.1
Creating point data
2.2.2
Intersections and Clip Operations
2.2.3
Merging spatial features and Buffers
2.2.4
Point-in-polygon and Area calculations
2.2.5
Creating distance attributes
2.2.6
Combining spatial datasets and their attributes
2.2.7
Reading and writing data in and out of R/RStudio
2.3
Answer to Tasks
2.4
Optional: mapping with
tmap
and
ggplot2
2.4.1
Mapping with
tmap
2.4.2
Mapping with
ggplot2
2.5
Useful Resources
3
Regression
3.1
Introduction
3.1.1
Which regression approach?
3.1.2
Packages
3.1.3
Data
3.2
Standard linear regression models (OLS)
3.3
Binomial Logistic Regression for binary variables
3.4
Poisson Regression for count variables
3.5
Outliers and Robust regression
3.6
Answers to Tasks
3.7
Prediction vs Inference
3.8
Optional: the MAUP
3.8.1
Introduction
3.8.2
Impact on Correlations of Counts
3.8.3
Impact on Correlation of Rates
3.9
Additional Resources
4
Spatial Interpolation
4.1
Introduction
4.1.1
Packages
4.1.2
Data for KDE and IDW
4.1.3
Data for Area Weighted and Dasymetric interpolation
4.2
Kernel Density Estimation (point observations)
4.3
Inverse Distance Weighting (point values)
4.4
Area Weighted interpolation (area to area)
4.5
Dasymetric Interpolation
4.6
Answers to Tasks
5
Agent Based Models (with Jiaqi)
5.1
TBC
6
Principles of Data Visualisation (Roger)
6.1
TBC
7
APIs and Big Data
7.1
TBC
8
Sharing your book
8.1
Publishing
8.2
404 pages
8.3
Metadata for sharing
9
Sharing your book
9.1
Publishing
9.2
404 pages
9.3
Metadata for sharing
10
Sharing your book
10.1
Publishing
10.2
404 pages
10.3
Metadata for sharing
11
Sharing your book
11.1
Publishing
11.2
404 pages
11.3
Metadata for sharing
References
GEOG3915 GeoComputation and Spatial Analysis practicals
Chapter 6
Principles of Data Visualisation (Roger)
6.1
TBC