ABSTRACT

Modern Statistical Methodology and Software for Analyzing Spatial Point PatternsSpatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on th

part I|2 pages

I BASICS

chapter 1|16 pages

Introduction

chapter 2|30 pages

Software Essentials

chapter 3|32 pages

Collecting and Handling Point Pattern Data

chapter 4|46 pages

Inspecting and Exploring Data

chapter 5|28 pages

Point Process Methods

part II|2 pages

II EXPLORATORY DATA ANALYSIS

chapter 6|42 pages

Intensity

chapter 7|56 pages

Correlation

chapter 8|42 pages

Spacing

part III|2 pages

STATISTICAL INFERENCE

chapter 9|70 pages

Poisson Models

chapter 10|42 pages

Hypothesis Tests and Simulation Envelopes

chapter 11|38 pages

Model Validation

chapter 12|38 pages

Cluster and Cox Models

chapter 13|74 pages

Gibbs Models

chapter 14|74 pages

Patterns of Several Types of Points

part IV|2 pages

IV ADDITIONAL STRUCTURE

chapter 15|24 pages

Higher-Dimensional Spaces and Marks

chapter 17|36 pages

Point Patterns on a Linear Network