Difference between revisions of "Lesson9"

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<font size="5">'''Advanced Spatial Point Patterns Analysis'''</font>
  
 
=Content=
 
=Content=
* Modelling spatial events on and alongside networks
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* Basic concept of Second-order Point Patterns
* Network point density estimation methods
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* Second-order Spatial Point Patterns Analysis Techniques
* Network-Constrained K-function
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** G-function
* Network spatial autocorrelation
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** F-function
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** K-function
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** L-function
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* Inhomogeneous Spatial Point Patterns
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* Network-Constrained Spatial Point Patterns Analysis
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* Spation-temporal Point Patterns Analysis
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=Must do=
 
=Must do=
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=In-Class Exercise=
 
=In-Class Exercise=
  
* Hands-on Exercise 8. The handout and data sets are available at course eLearn.
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* Hands-on Exercise 9. The handout and data sets are available at course eLearn.
  
  
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=References=
 
=References=
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Okabe, A. and Sugihara, K. (2012) '''Spatial Analysis along Networks: Statistical and Computational Methods'''. John Wiley & Sons, West Sussex, United Kingdom.
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==Methods==
 
==Methods==
  
Brunsdon, C. & Comber, L. (2015) '''An Introduction to R for Spatial Analysis & Mapping''', SAGE, London. Chapter 6.
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==Applications==
 
==Applications==

Latest revision as of 08:20, 10 March 2019

Claraview.png IS415 GeoSpatial Analytics and Applications

About

Weekly Session

Take-home Exercises

Geospatial Analytics Project

Course Resources

 


Advanced Spatial Point Patterns Analysis

Content

  • Basic concept of Second-order Point Patterns
  • Second-order Spatial Point Patterns Analysis Techniques
    • G-function
    • F-function
    • K-function
    • L-function
  • Inhomogeneous Spatial Point Patterns
  • Network-Constrained Spatial Point Patterns Analysis
  • Spation-temporal Point Patterns Analysis


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 9. 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.


Methods

Applications