Lesson08

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.

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]
  • 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.