Difference between revisions of "Lesson9"
Jump to navigation
Jump to search
| Line 59: | Line 59: | ||
=References= | =References= | ||
| + | |||
| + | Okabe, A. and Sugihara, K. (2012) '''Spatial Analysis along Networks: Statistical and Computational Methods'''. John Wiley & Sons, West Sussex, United Kingdom. | ||
| + | |||
==Methods== | ==Methods== | ||
| − | + | ||
==Applications== | ==Applications== | ||
Revision as of 23:14, 14 February 2019
IS415 GeoSpatial Analytics and Applications
|
|
|
|
|
|
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
Okabe, A. and Sugihara, K. (2012) Spatial Analysis along Networks: Statistical and Computational Methods. John Wiley & Sons, West Sussex, United Kingdom.
