Difference between revisions of "Lesson08"

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=R Packages=
 
=R Packages=
  
'''spatstat''': Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests [https://cran.r-project.org/web/packages/spatstat/index.html]
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* '''spatstat''': Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests [https://cran.r-project.org/web/packages/spatstat/index.html]
  
 
* Getting Started with spatstat [https://cran.r-project.org/web/packages/spatstat/vignettes/getstart.pdf].
 
* Getting Started with spatstat [https://cran.r-project.org/web/packages/spatstat/vignettes/getstart.pdf].
  
* Handling shapefiles in the spatstat package [  
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* Handling shapefiles in the spatstat package [https://cran.r-project.org/web/packages/spatstat/vignettes/shapefiles.pdf]
  
  

Revision as of 22:47, 14 February 2019

Claraview.png IS415 GeoSpatial Analytics and Applications

About

Weekly Session

Take-home Exercises

Geospatial Analytics Project

Course Resources

 


Content

  • Introducing Spatial Point Patterns
  • Techniques for Spatial Point Patterns Analysis
    • Area-based methods
    • Distanced-based methods
  • Firs-order Analysis of Point Patterns
    • Kernel density estimation
  • Second-order Analysis of Point Patterns
    • The K-function
    • The L-function
    • The G-function

Must do

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.

Applications