Difference between revisions of "Lesson08"
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| − | ''Chapter 2: Point Pattern Analysis'' of DataCamp Course on '''Spatial Statistics in R'''. | + | ''Chapter 1: Introduction'' and ''Chapter 2: Point Pattern Analysis'' of DataCamp Course on '''Spatial Statistics in R'''. |
Latest revision as of 22:34, 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.
Complete:
Chapter 1: Introduction and Chapter 2: Point Pattern Analysis of DataCamp Course on Spatial Statistics in R.
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]
References
Methods
Brunsdon, C. & Comber, L. (2015) An Introduction to R for Spatial Analysis & Mapping, SAGE, London. Chapter 6.
