Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"generalized linear modelling"”.
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Use of Advanced Techniques to Estimate Zonal Level Safety Planning Models and Examine their Temporal Transferability
… semiparametric additive (FBSA), and traditional generalized linear modelling (GLM) techniques are used to develop the models. The study evaluates how well each model is able to handle spatial variations in the relationship between collision explanatory variables and the number of collisions in a …
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Explaining marine debris on New Zealand beaches: Empirical beach litter data and an evaluation of waste management practices
… dumps. Including waste management factors in generalized linear modelling resulted in a better fit. Models specified the following significant waste management predictors: 1) the presence of a regional coordinating waste management document (less AMD), 2) the presence of rubbish bins on the …
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Nocturnal roost tree, roost site and landscape characteristics of Carnaby's Black-Cockatoo (Calyptorynchus latirostris) on the Swan Coastal Plain
… layers using a geographical information system. Generalized linear modelling was used to investigate which landscape variables best explain the roost count numbers and fidelity of Carnaby’s Black-Cockatoo at the three spatial scales. Landscape variables were broadly categorised into urban …
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Physical controls on spring bloom dynamics in the Irminger Basin, North Atlantic
… in different seasons are investigated using generalized linear modelling. Whilst net heat flux and PAR are the dominating factors in spring, wind speed and SST become increasingly influential during summer and autumn. A method for estimating time series of Sverdrup’s critical depth from …
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Incorporating plant community structure in species distribution modelling: a species co-occurrence based composite approach
… northern Saskatchewan to assess five different modelling algorithms including modern regression and machine learning techniques to understand how species distribution characteristics influence model prediction accuracies. All modelling algorithms showed robust performance (>0.5 AUC), with the …
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Incorporating plant community structure in species distribution modelling: a species co-occurrence based composite approach
… northern Saskatchewan to assess five different modelling algorithms including modern regression and machine learning techniques to understand how species distribution characteristics influence model prediction accuracies. All modelling algorithms showed robust performance (>0.5 AUC), with the …