User Guide

This user guide covers essential features of pointpats, mostly in the form of interactive Jupyter notebooks. Reading this guide, you will learn:

• descriptive statistics for point patterns

• quadrat analysis of point patterns

• distance-based tests for clustering in point patterns

Notebooks cover just a small selection of functions as an illustration of principles. For a full overview of pointpats’s capabilities, head to the API.

• Centrography in pointpats
• Standard deviational ellipse in pointpats
• Quadrat-based statistics in pointpats
• Distance-based statistics in pointpats
• Simulating random point patterns with pointpats.random
• Working with marks in pointpats