Incorporating uncertainty in sensor data into bayesian grape bunch growth models (2021)
Type of ContentTheses / Dissertations
Degree NameMaster of Science
PublisherUniversity of Canterbury
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Stochastic forest growth simulation: incorporating growth prediction uncertainty with wind and fire damage into carbon sequestration estimates and discounted cash flow analysis. Dowling, Leslie John (University of Canterbury. School of Forestry, 2015)Uncertainty in forest productivity prediction and the variable reduction from wind and fire damage makes predictions of forest Net Present Values (NPVs) and carbon sequestration uncertain, creating a distribution of possible ...
Incorporation of the effects of fertilizer into an existing computer growth model for Golden Downs Forest, Nelson Region, New Zealand Lowell, K. E. (University of Canterbury. Forestry, 1984)Methodology to be incorporated into an existing computer model to quantify the effects of fertilizer on growth and yield in Golden Downs Forest in the Nelson region (South Island, New Zealand) was developed and ...
Ground motion simulation validation with explicit uncertainty incorporation for small magnitude earthquakes in the Canterbury region Neill, Sarah; Lee, Robin; Bradley, Brendon (2019)This study explicitly investigates uncertainties in physics-based ground motion simulation validation for earthquakes in the Canterbury region. The simulations utilise the Graves and Pitarka (2015) hybrid methodology, with ...