P.D. Esker; A.H. Sparks; M. Bates; W. Dall'Acqua; E.E. Frank; L. Huebel; V. Segovia; K.A. Garrett
Type of Document:
The American Phytopathological Society
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This training module shows how to model and analyze pathogen dispersal using the free R programming environment.
Student Learning Goals: After completion of this module: * Students will understand how R can be used to model dispersal and disease gradients. * Students will be able to: 1. use R to compare different dispersal gradient models, 2. use R to compare and analyze primary versus secondary gradients, 3. run simulations in R that illustrate how an epidemic changes in space and time.