1 / 8

Point Pattern Analysis

Point Pattern Analysis. Methods for analyzing completely censused population data. Entire extent of study area or Each unit of an array of contiguous sample units (e.g. quadrats) Global vs. Local. Types of Point data. Univariate , Bivariate, Multivariate

aterrell
Download Presentation

Point Pattern Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Point Pattern Analysis

  2. Methods for analyzing completely censused population data • Entire extent of study area or • Each unit of an array of contiguous sample units (e.g. quadrats) • Global vs. Local

  3. Types of Point data • Univariate, Bivariate, Multivariate • 1, 2, and 3 Dimensions (x,y,z)

  4. Point Pattern Analysis • Pattern may change with scale! • Test statistic calculated from data vs. expected value of statistic under CSR (complete spatial randomness)

  5. Types of Point Patterns • Random (CSR) • Overdispersed (spaced or regular) • Underdispersed (clumped or aggregated)

  6. Methods • Distance to neighbor • sample • Refined Nearest Neighbor • randomization • Second-order point pattern analysis

  7. Second-order Point Pattern Analysis: Ripley’s K “Used to analyse the mapped positions of events in the plane… and assume a complete census…”

More Related