In this video, we explore Canonical Correspondence Analysis (CCA) using PAST software, a method commonly applied in ecology to study species-environment relationships. You’ll learn what CCA is, how to perform a CCA analysis step by step in PAST, and how to interpret the results. This tutorial will cover everything from the basics of CCA to visualizing and interpreting biplots, making it essential for researchers and students in environmental science, ecology, and multivariate data analysis.
Software Version : Past 4.17 (Freeware)
Disclaimer
This video is made for the sole purpose of higher education. Care is taken to provide the most accurate information. However, we can’t guarantee the accuracy of all the information in this video. Kindly do your own research before coming to any conclusions or making any decisions.
📌 Tags:
#biostatistics #statistics #dataanalysis #statisticalanalysis
#datavisualization #datascience #dataanalytics #datamining #statisticsbio7 #cca #canonical #correspondence #analysis
📚 Resources:
Download the sample data used in this tutorial: [https://t.me/statistics_bio7]
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