Combining Data and Point Patterns
Content for Wednesday, October 18, 2023
Today we’ll finish up our example of combining data for analysis and introduce point process models as a first version of spatial analysis. We’ll need a few new packages here, but many of the key data management processes will remain the same.
Resources
The Chapters 17 and 18 on Spatial Point Processes and the
spatstatpackage in Paula Moraga’s book Spatial Statistics for Data Science: Theory and Practice with R.Rings, circles, and null-models for point pattern analysis in ecology by (Wiegand and A. Moloney 2004) provides an introduction to metrics for spatial clustering with applications in ecology.
Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology by Janine Illian (a major contributor to modern point pattern analyses) and David Burslem (a Scottish plant ecologist) (Illian and Burslem 2017) is a fairly modern take on the challenges associated with point process modeling in ecology.
Chapter 11: Point Pattern Analysis in Manuel Gimond’s Introduction to GIS and Spatial Analysis
bookdownproject provides a nice (and free) introduction to some of these introductory point process methods.
Objectives
By the end of today you should be able to:
Complete the creation of a dataset for analysis using vector and raster data
Define a point process and their utility for ecological applications
Define first and second-order Complete Spatial Randomness
Use several common functions to explore point patterns
Slides
The slides for today’s lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys.