Remote Sensing, 2021 The High-Resolution Imaging Science Experiment (HiRISE) onboard the Mars Reconnaissance Orbiter provides remotely sensed imagery at the highest spatial resolution at 25–50 cm/pixel of the surface of Mars.
Yu Tao +3 more
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REHEATFUNQ (REgional HEAT-Flow Uncertainty and aNomaly Quantification) 2.0.1: a model for regional aggregate heat flow distributions and anomaly quantification [PDF]
Geoscientific Model DevelopmentSurface heat flow is a geophysical variable that is affected by a complex combination of various heat generation and transport processes. The processes act on different lengths scales, from tens of meters to hundreds of kilometers.
M. J. Ziebarth +2 more
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The impact of experimental design choices on parameter inference for models of growing cell colonies [PDF]
Royal Society Open Science, 2018 To better understand development, repair and disease progression, it is useful to quantify the behaviour of proliferative and motile cell populations as they grow and expand to fill their local environment.
Andrew Parker +2 more
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Annals of GISThe inference of causation is essential for interpretable scientific research and evidence-based policymaking. Existing causal methods – including those based on intervention, forecasting, and graph models – have achieved considerable success in non ...
Bingrong Chen +7 more
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Emergence of canonical functional networks from the structural connectome
NeuroImage, 2021 How do functional brain networks emerge from the underlying wiring of the brain? We examine how resting-state functional activation patterns emerge from the underlying connectivity and length of white matter fibers that constitute its “structural ...
Xihe Xie +4 more
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Cortical hierarchies perform Bayesian causal inference in multisensory perception.
PLoS Biology, 2015 To form a veridical percept of the environment, the brain needs to integrate sensory signals from a common source but segregate those from independent sources.
Tim Rohe, Uta Noppeney
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Algorithms of causal inference for the analysis of effective connectivity among brain regions
Frontiers in Neuroinformatics, 2014 In recent years, powerful general algorithms of causal inference have been developed. In particular, in the framework of Pearl’s causality, algorithms of inductive causation (IC and IC*) provide a procedure to determine which causal connections among ...
Daniel eChicharro +2 more
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Mapping species diversification metrics in macroecology: Prospects and challenges
Frontiers in Ecology and Evolution, 2022 The intersection of macroecology and macroevolution is one of today’s most active research in biology. In the last decade, we have witnessed a steady increment of macroecological studies that use metrics attempting to capture macroevolutionary processes ...
Julián A. Velasco +1 more
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Assessing Survey Design for Long-Term Population Trend Detection in Piping Plovers
LandDetermining appropriate spatio-temporal scales for monitoring migratory shorebirds is challenging. Effective surveys must detect population trends without excessive or insufficient sampling, yet many programs lack formal evaluations of survey ...
Eve Bohnett +6 more
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A max-stable process model for rainfall extremes at different accumulation durations
Weather and Climate Extremes, 2016 A common existing approach to modeling rainfall extremes employs a spatial Bayesian hierarchical model, where latent Gaussian processes are specified on distributional parameters in order to pool spatial information.
Alec G. Stephenson +2 more
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