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 9 of 9 for “"Boosted Regression Tree"”.
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Soil PH and clay content associated with chronic wasting disease in white-tailed deer in northern Illinois
… with contaminated environments. I built a boosted regression tree model that accurately predicted (AUC = 0.954) the probability of CWD presence in northern Illinois based on soil characteristics (soil texture, pH, cation exchange capacity, organic matter, and water content), then used the …
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Agent-based models to couple natural and human systems for watershed management analysis
… variables, and a machine learning technique, boosted regression tree (BRT) is applied to converting these causal relationships to agents’ behavioral rules. It is found that, in comparison with the optimization-based approach, crop profits and water tables as the result of agents’ pumping …
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Rapid identification of oil contaminated soils using visible near infrared diffuse reflectance spectroscopy
… (TPH) content using partial least squares (PLS) regression and boosted regression tree (BRT) models. The field-moist intact scan proved best for predicting TPH content with a validation r2 of 0.64 and relative percent difference (RPD) of 1.70. Those 46 samples were used to calibrate a penalized …
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Cheatgrass die-off in the Great Basin: A comparison of remote sensing detection methods and identification of environments favorable to die-off
… (range of 5 to 34% of study area). Next we use a boosted regression tree approach to identify patterns in the environments in which cheatgrass die-off occurs, measuring topographic, edaphic, and normal climatic conditions as well as weather prior to and during the die-off. We explore three …
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Assessment of Factors Influencing Migratory Landbird Use of Forested Stopover Sites Along the Delmarva Peninsula During Autumn Migration
… during autumn migration in 2013 and 2014. Using boosted regression tree modelling techniques, I conducted analyses to determine variable influence on forested site use for 13 migratory species, as well as season-wide and early- vs. mid-season analyses using all nocturnal migratory landbird …
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Delination of Coastal Shark Habitat within North Carolina Waters Using Acoustic Telemetry, Fisher-Independent Surveys, and Local Ecological Knowledge
… Bight during winter. At the estuarine scale, boosted regression tree modeling of shark catch and environmental data from North Carolina Division of Marine Fisheries (NCDMF) gillnet and longline surveys were used to spatially delineate potential habitat for six species within Pamlico Sound. …
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The Ecology of Large Marine Predators in the Hauraki Gulf
… resulting from the use of opportunistic data. Boosted regression tree models were applied using sightings data from aerial surveys to model the occurrences of three cetacean species and four shark species to identify biological and environmental drivers of habitat use and to produce monthly …
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Aeolian dust emission dynamics across spatial scales: landforms, controls and characteristics
… and shear and compressive strength (kg cm-2). A Boosted Regression Tree (BRT) machine-learning algorithm identified the most important surface and sediment characteristics determining dust emission from the measured surfaces. The model explained 70.8% of the deviance in the measured dust flux …
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Data-driven prediction of saltmarsh morphodynamics
… to which machine learning model approaches (boosted regression trees, neural networks and Bayesian networks) can facilitate synthesis of information and prediction of decadal-scale morphological tendencies of saltmarshes. Importantly, data-driven predictions are independent of the assumptions …