Biodiversity
This pathway explores the richness and diversity of life on Earth and the impacts of environmental changes on these complex systems. Using cluster analysis, learners assess the health and resilience of different ecosystems under changing environmental conditions.
Topics
- biodiversity
- ecosystem services
- supervised learning
- unsupervised learning
- k-means clustering
- overfitting
- linear regression
- genetic diversity
- biodiversity loss
- species diversity
- data literacy
- modeling
- pattern recognition
- predictive modeling
- ecological drivers
- environmental data
- statistical methods
- conservation biology
- biological variation
- habitat diversity
- biodiversity assessment
- cluster analysis
- clustering
- multiple linear regression
- 3D scatter plots
- species richness
- ecosystem health
- ecosystem resilience
- environmental change
- environmental modeling
- ecosystem monitoring
- coral bleaching
- coral reefs
- climate impacts
- temperature
- precipitation
- ecosystem diversity
- ecosystem patterns
- ecological data
- environmental monitoring
- environmental patterns
- algorithmic clustering
- scientific modeling
- model interpretation
- model assumptions
- multivariable relationships
- environmental indicators
- conservation data
- climate data