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
IS415 GeoSpatial Analytics and Applications
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Contents
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.
