Results 41 to 50 of about 330,119 (322)

Assessing Machine Learning-Based Prediction under Different Agricultural Practices for Digital Mapping of Soil Organic Carbon and Available Phosphorus

open access: yesAgriculture, 2022
Predicting soil chemical properties such as soil organic carbon (SOC) and available phosphorus (Ava-P) content is critical in areas where different land uses exist. The distribution of SOC and Ava-P is influenced by both natural and anthropogenic factors.
Fuat Kaya   +5 more
doaj   +1 more source

Weak Environmental Controls of Tropical Forest Canopy Height in the Guiana Shield

open access: yesRemote Sensing, 2016
Canopy height is a key variable in tropical forest functioning and for regional carbon inventories. We investigate the spatial structure of the canopy height of a tropical forest, its relationship with environmental physical covariates, and the ...
Youven Goulamoussène   +5 more
doaj   +1 more source

SURVEILLANCE OF ENVIRONMENTAL DOSE RATE WITH THE COVARIANCE MATRIX

open access: yesRadiation Protection Dosimetry, 2018
Abstract The objective of this study is the operational verification of an environmental dose rate monitoring network composed by several sensors. The verification of the study has been tested on the CIEMAT’s Radiological Network, establishing a records quality assurance of the detectors using the covariance matrix and the eigenvalues ...
G, Benito   +3 more
openaire   +2 more sources

Using individual tracking data to validate the predictions of species distribution models [PDF]

open access: yes, 2016
The authors would like to thank the College of Life Sciences of Aberdeen University and Marine Scotland Science which funded CP's PhD project. Skate tagging experiments were undertaken as part of Scottish Government project SP004.
Cornulier, Thomas   +7 more
core   +1 more source

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM$_{2.5}$ concentration [PDF]

open access: yes, 2019
A typical problem in air pollution epidemiology is exposure assessment for individuals for which health data are available. Due to the sparsity of monitoring sites and the limited temporal frequency with which measurements of air pollutants ...
Berrocal, Veronica J.   +6 more
core   +2 more sources

ANALYSIS OF CHARACTER DIVERGENCE ALONG ENVIRONMENTAL GRADIENTS AND OTHER COVARIATES [PDF]

open access: yesEvolution, 2007
Character displacement is typically identified by comparing phenotypic differences in sympatry and allopatry. Recently, however, Goldberg and Lande (2006) pointed out that when phenotypic characters vary along an environmental gradient, the standard approach may fail to identify sympatric character divergence.
Dean C, Adams, Michael L, Collyer
openaire   +2 more sources

Bayesian logistic regression for presence-only data [PDF]

open access: yes, 2015
Presence-only data are referred to situations in which a censoring mechanism acts on a binary response which can be partially observed only with respect to one outcome, usually denoting the \textit{presence} of an attribute of interest. A typical example
Antti Pettinen   +3 more
core   +1 more source

Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil

open access: yesPesquisa Agropecuária Brasileira, 2021
The objective of this work was to identify environmental factors with significant effects on the genotype by environment interaction (GEI) of sugarcane, and to generate thematic maps yield adaptability of genotypes for the state of Goiás, Brazil, through
Rafael Ferreira Montes   +2 more
doaj   +1 more source

Metagenomic Covariation Along Densely Sampled Environmental Gradients in the Red Sea [PDF]

open access: yesThe ISME Journal, 2016
AbstractOceanic microbial diversity covaries with physicochemical parameters. Temperature, for example, explains approximately half of global variation in surface taxonomic abundance. It is unknown, however, whether covariation patterns hold over narrower parameter gradients and spatial scales, and extending to mesopelagic depths.
Thompson, Luke R.   +7 more
openaire   +4 more sources

Optimal Mapping of Soil Erodibility in a Plateau Lake Watershed: Empirical Models Empowered by Machine Learning

open access: yesRemote Sensing
Soil erodibility (K) refers to the inherent ability of soil to withstand erosion. Accurate estimation and spatial prediction of K values are vital for assessing soil erosion and managing land resources.
Jiaxue Wang   +8 more
doaj   +1 more source

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