Learn a wide variety of ecological data analyses by mining your own species occurrences and environmental data from various online sources. R code provided in each lesson is reproducible and easy to modify for your own projects and research. Upon completion of this course, you should have the knowledge to perform these analyses and GIS techniques with your own data, with an improved knowledge and understanding of the packages, functions, and R language.
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Ecology in R
Ecological data-mining, map making and GIS, SDM, movement models/home range analyses, phylogenetics & tree building
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Content
Platform: Udemy
Video: 4h 29m
Language: English
Next start: On Demand
Table of contents
Description
You will learn
✓ Mining ecological and environmental data
✓ Species range map making
✓ Species Distribution Modelling (SDM)
✓ Movement data analysis
✓ Trapping data analysis
✓ Phylogenetic tree building
✓ Species range map making
✓ Species Distribution Modelling (SDM)
✓ Movement data analysis
✓ Trapping data analysis
✓ Phylogenetic tree building
Requirements
• Download R and R Studios
• Internet connection
• Internet connection
This course is for
• Ecologists
• Researchers
• Wildlife conservationists
• Naturalists
• Environmental data scientists
• Researchers
• Wildlife conservationists
• Naturalists
• Environmental data scientists
Wildlife Researcher
I am an independent researcher, working alongside several agencies and institutions in SE Asia, and North America. My current focus is on using modern technologies and implementation of machine learning, computer vision, and AI to create efficient and automated wildlife systems. My long-term goal is to create a monitoring network to enable a global response to detrimental environmental change in order to effectively allocate funding and resources.
Browse all courses by Russell J Gray on Coursemarks.
Platform: Udemy
Video: 4h 29m
Language: English
Next start: On Demand