AIMC Topic: Spatial Analysis

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Predictive analysis across spatial scales links zoonotic malaria to deforestation.

Proceedings. Biological sciences Jan 16, 2019
The complex transmission ecologies of vector-borne and zoonotic diseases pose challenges to their control, especially in changing landscapes. Human incidence of zoonotic malaria ( Plasmodium knowlesi) is associated with deforestation although mechani...
Humans Machine Learning Cross-Sectional Studies Animals Case-Control Studies Models, Theoretical Malaysia Models, Statistical Remote Sensing Technology Malaria Forests Spacecraft Spatial Analysis Epidemiological Monitoring Zoonoses Forestry Plasmodium knowlesi
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Non-linear effects of the built environment on automobile-involved pedestrian crash frequency: A machine learning approach.

Accident; analysis and prevention Mar 1, 2018
Although a growing body of literature focuses on the relationship between the built environment and pedestrian crashes, limited evidence is provided about the relative importance of many built environment attributes by accounting for their mutual int...
Humans Machine Learning Environment Design Models, Statistical Pedestrians Accidents, Traffic Spatial Analysis Multivariate Analysis Washington
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Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models.

Neuroinformatics Jan 1, 2018
Pattern recognition models have been increasingly applied to neuroimaging data over the last two decades. These applications have ranged from cognitive neuroscience to clinical problems. A common limitation of these approaches is that they do not inc...
Humans Machine Learning Algorithms Databases, Factual Brain Spatial Analysis Pattern Recognition, Automated
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Optimal Spatial Prediction Using Ensemble Machine Learning.

The international journal of biostatistics May 1, 2016
Spatial prediction is an important problem in many scientific disciplines. Super Learner is an ensemble prediction approach related to stacked generalization that uses cross-validation to search for the optimal predictor amongst all convex combinatio...
Machine Learning Lakes United States Models, Statistical Spatial Analysis United States Environmental Protection Agency
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