Explores natural selection, genetic variation, and evolutionary changes within populations, using examples like sickle cell anemia and flu virus evolution.
Delves into the complementary methodologies of discrete choice and machine learning, covering notations, variables, models, data processes, extrapolation, what-if analysis, and more.
Explores the nearest neighbours method in spatial analysis, covering distribution assessment, R index computation, and statistical testing for clustering.
