Difference between revisions of "Lesson08"

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[https://mgimond.github.io/Spatial/point-pattern-analysis.html Chapter 11: Point pattern analysis] in '''R in Intro to GIS and Spatial Analysis'''.  
 
[https://mgimond.github.io/Spatial/point-pattern-analysis.html Chapter 11: Point pattern analysis] in '''R in Intro to GIS and Spatial Analysis'''.  
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[https://mgimond.github.io/Spatial/hypothesis-testing.html Chapter 12 Hypothesis testing] in '''R in Intro to GIS and Spatial Analysis'''.
  
  

Revision as of 21:48, 27 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

Read:

O’Sullivan, D., and Unwin, D. (2010) Geographic Information Analysis, Second Edition. John Wiley & Sons Inc., New Jersey, Canada. Chapter 5-6.

Chapter 11: Point pattern analysis in R in Intro to GIS and Spatial Analysis.

Chapter 12 Hypothesis testing in R in Intro to GIS and Spatial Analysis.


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 [1]
  • Getting Started with spatstat [2].
  • Handling shapefiles in the spatstat package [3]


References

Methods

Brunsdon, C. & Comber, L. (2015) An Introduction to R for Spatial Analysis & Mapping, SAGE, London. Chapter 6.

Applications