# 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`