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IS415 GeoSpatial Analytics and Applications
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Contents
Content
- Modelling spatial events on and alongside networks
- Network point density estimation methods
- Network-Constrained K-function
- Network spatial autocorrelation
Must do
Read:
O’Sullivan, D., and Unwin, D. (2010) Geographic Information Analysis, Second Edition. John Wiley & Sons Inc., New Jersey, Canada. Chapter 5-6.
“4.3.4 Density, kernels and occupancy” in De Smith, M. J., Goodchild, M.F., and Longley, P.A. (2018) Geospatial Analysis: A Comprehensive Guide to Principles Techniques and Software Tools (6th edition) [1]
In-Class Exercise
- Hands-on Exercise 8. The handout and data sets are available at course eLearn.
R Packages
- spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests [2]
- Getting Started with spatstat [3].
- Handling shapefiles in the spatstat package [4]
References
Methods
Brunsdon, C. & Comber, L. (2015) An Introduction to R for Spatial Analysis & Mapping, SAGE, London. Chapter 6.
