Results 11 to 20 of about 326,517 (248)
Ecological Solutions and Evidence, 2021 Conventional distance sampling approaches rely on the design assumption (i.e. uniform distribution of individuals in relation to transects) to ensure unbiased inference to the population of interest.
Joshua H. Schmidt, William W. Deacy
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Downscaling Satellite Soil Moisture Using a Modular Spatial Inference Framework
Remote Sensing, 2022 Soil moisture is an important parameter that regulates multiple ecosystem processes and provides important information for environmental management and policy decision-making.
Ricardo M. Llamas +4 more
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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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Uncovering hidden spatial structure in species communities with spatially explicit joint species distribution models [PDF]
, 2016 1. Modern species distribution models account for spatial autocorrelation in order to obtain unbiased statistical inference on the effects of covariates, to improve the model's predictive ability through spatial interpolation and to gain insight in the ...
Anderson, Barbara J. +3 more
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Factors controlling the regeneration process in unevenly aged silver fir forests: inferences from the spatial pattern of trees [PDF]
Journal of Forest Science, 2006 The main objective of this study was to prove the relationship between the spatial pattern of trees and distribution of advanced regeneration in structured Abies alba Mill. forests in the Western Carpathians (of southern Poland). In 13 sample plots (0.45-1.00 ha in size), the locations of all live trees above 15 cm in d1.3 and all stumps of canopy ...
openaire +2 more sources
Feature detection using spikes: the greedy approach [PDF]
, 2005 A goal of low-level neural processes is to build an efficient code extracting the relevant information from the sensory input. It is believed that this is implemented in cortical areas by elementary inferential computations dynamically extracting the ...
Atick +26 more
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Forward and backward inference in spatial cognition.
PLoS Computational Biology, 2013 This paper shows that the various computations underlying spatial cognition can be implemented using statistical inference in a single probabilistic model.
Will D Penny +2 more
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PLoS ONE, 2012 Larval dispersal is a crucial factor for fish recruitment. For fishes with relatively small-bodied larvae, drift has the potential to play a more important role than active habitat selection in determining larval dispersal; therefore, we expect small-bodied fish larvae to be poorly associated with habitat characteristics.
Andrea Bertolo +5 more
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INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes [PDF]
, 2012 We investigate two options for performing Bayesian inference on spatial log-Gaussian Cox processes assuming a spatially continuous latent field: Markov chain Monte Carlo (MCMC) and the integrated nested Laplace approximation (INLA). We first describe the
Diggle, Peter J., Taylor, Benjamin M.
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PLoS ONE, 2017 Recently-developed methods that integrate multiple data sources arising from the same ecological processes have typically utilized structured data from well-defined sampling protocols (e.g., capture-recapture and telemetry).
Simone Tenan +4 more
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