This Ph.D. course focus on an advanced understanding of forest trials and inventories. Subject area: Forest Inventory, Inventory design, forest growth and yield and forest modelling.
After this course, the students are expected to:
- Know about the advanced level statistics with large-scale inventory data
- Understand the statistics of various experiments
- Independently design their experiments and perform their inventories
Entry requirement: Basic knowledge in forest inventory, experimental design, science methodology, Statistics, and R software is a prerequisite. (There will be a module in the Canvas course page for update and repetition of entry requirements)
Objectives: This course provides an advanced understanding of how forest trials are designed and how inventories are performed. The course's target group comprises early-stage doctoral students who will initiate field trials, analyze larger quantities from long-term trials, design inventories, and implement and/or analyze more extensive inventories in forests.
Read more about the course.
