Interpretation of Species Distribution Model SDM in R Understanding SDM Results

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In this video, we focus on the interpretation of Species Distribution Model (SDM) results in R. After building an SDM, understanding the outputs and ecological significance is crucial. This tutorial explains how to evaluate model accuracy, interpret response curves, and visualize species distribution maps effectively. • 🔹 What you’ll learn: • ✅ How to analyze SDM results in R • ✅ Understanding response curves and variable importance • ✅ Evaluating model performance (AUC, TSS, Kappa) • ✅ Visualizing species distribution predictions • ✅ Ecological insights and practical applications • 👉 Watch the SDM model-building tutorial here:    • Species Distribution Model (SDM) in R...   • 👉 Get the full R code for SDM on my blog: https://statisticsbio7.blogspot.com/2... • 📢 Subscribe for more R tutorials on ecological and statistical modeling! • 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 #r #rstudio • • 📚 Resources: • Download the sample data used in this tutorial: [https://t.me/statistics_bio7] • • I offer professional services in data analysis and data visualization, specializing in biostatistics. For more information or to inquire about my services, please contact me at: • 🔗 Connect with Us: • Email: [email protected] • Donate To My Channel (PayPal): • https://paypal.me/statisticsbio7?coun... • Learn more about Biostatistics Point at https://statisticsbio7.blogspot.com/ • Join this YouTube channel membership: •    / @statisticsbio7   • 👍 Like, Share, and Subscribe for more content!

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