Results 11 to 20 of about 169,946 (260)

Selecting Spatial Scale of Covariates in Regression Models of Environmental Exposures

Cancer Informatics, 2015
Environmental factors or socioeconomic status variables used in regression models to explain environmental chemical exposures or health outcomes are often in practice modeled at the same buffer distance or spatial scale.
Lauren P. Grant, Chris Gennings, David C. Wheeler   +2 more
doaj   +4 more sources

Identifying multispecies synchrony in response to environmental covariates. [PDF]

Ecol Evol, 2016
AbstractThe importance of multispecies models for understanding complex ecological processes and interactions is beginning to be realized. Recent developments, such as those by Lahoz‐Monfort et al. (2011), have enabled synchrony in demographic parameters across multiple species to be explored.
Swallow B, King R, Buckland ST, Toms MP.
europepmc   +8 more sources

Impact of environmental covariates summarization on predictive ability in genomic selection

The Plant Genome
Integrating genomic and environmental information holds the potential for enhancing the predictive power of genomic prediction models when accounting for the genotype‐by‐environment interactions.
Vitor Seiti Sagae, Moysés Nascimento, Ana Carolina Campana Nascimento, Felipe Lopes da Silva, Diego Jarquin   +4 more
doaj   +3 more sources

Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates

CATENA, 2022
Abstract In the digital soil mapping (DSM) framework, machine learning models quantify the relationship between soil observations and environmental covariates. Generally, the most commonly used covariates (MCC; e.g., topographic attributes and single-time remote sensing data, and legacy maps) were employed in DSM studies. Additionally, remote sensing
Mojtaba Zeraatpisheh, Younes Garosi, Hamid Reza Owliaie, Shamsollah Ayoubi, Ruhollah Taghizadeh-Mehrjardi, Thomas Scholten, Ming Xu   +6 more
openaire   +1 more source

Using Udometric Network Data to Estimate an Environmental Covariate [PDF]

AIP Conference Proceedings, 2011
Many hydrological and ecological studies recognize the importance of characterizing the temporal and spatial variability of precipitation. In this study, geostatistical methodologies were developed in order to estimate a hydro‐meteorological factor by (re)building the space‐time distribution of the precipitation associated to monthly averages in a ...
A. Manuela Gonçalves, Marco Costa, Theodore E. Simos, George Psihoyios, Ch. Tsitouras, Zacharias Anastassi   +5 more
openaire   +3 more sources

Digital Mapping of Surface and Subsurface Soil Organic Carbon and Soil Salinity Variation in a Part of Qazvin Plain (Case Study: Abyek and Nazarabad Regions) [PDF]

مجله آب و خاک, 2023
IntroductionKnowledge of the spatial distribution of soil salinity and soil organic carbon (SOC) leads to obtaining valuable information that is effective in decision-making for agricultural activities.
Gordafarin Rezaie, F. Sarmadian, Ali Mohammadi Torkashvand, J. Seyedmohammadi, Maryam Marashi Aliabadi   +4 more
doaj   +1 more source

Genetic and environmental influences on rumination and its covariation with depression [PDF]

Cognition and Emotion, 2014
This study examined the extent to which rumination and depression share genetic and environmental influences in a community sample of adult twins (N=663). Twins completed multiple rumination questionnaires, a depressive symptoms questionnaire and a diagnostic interview.
Daniel P, Johnson, Mark A, Whisman, Robin P, Corley, John K, Hewitt, Naomi P, Friedman   +4 more
openaire   +2 more sources

Genetic and Environmental Contributions to the Covariation Between Cardiometabolic Traits [PDF]

Journal of the American Heart Association, 2018
Background The variation and covariation for many cardiometabolic traits have been decomposed into genetic and environmental fractions, by using twin or single‐nucleotide polymorphism ( SNP ) models.
Chen X., Kuja-Halkola R., Chang Z., Karlsson R., Hägg S., Pedersen N.L., Magnusson P.K.E., Svensson P.   +7 more
openaire   +5 more sources

Using LISREL to analyze genetic and environmental covariance structure [PDF]

Behavior Genetics, 1986
Describes a method in which the linear structural relationships (LISREL) computer program is used for the genetic analysis of covariance structure. The method is illustrated with simulated and published twin data, including an analysis of twin data by N. G. Martin et al (1981) on psychomotor performance during alcohol intoxication.
Boomsma, D.I., Molenaar, P.C.M.
openaire   +5 more sources

Effects of environmental and physiological covariates on sex differences in unconditioned and conditioned anxiety and fear in a large sample of genetically heterogeneous (N/Nih-HS) rats

Behavioral and Brain Functions, 2011
Physiological and environmental variables, or covariates, can account for an important portion of the variability observed in behavioural/physiological results from different laboratories even when using the same type of animals and phenotyping ...
López-Aumatell Regina, Martínez-Membrives Esther, Vicens-Costa Elia, Cañete Toni, Blázquez Gloria, Mont-Cardona Carme, Johannesson Martina, Flint Jonathan, Tobeña Adolf, Fernández-Teruel Alberto   +9 more
doaj   +1 more source