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 +4 more
doaj +1 more source
Decline and repair, and covariate effects [PDF]
, 2015 The failure processes of repairable systems may be impacted by operational and environmental stress factors. To accommodate such factors, reliability can be modelled using a multiplicative intensity function.
Andersen +21 more
core +3 more sources
A comparative Digital Soil Mapping (DSM) study using a non-supervised clustering analysis and an expert knowledge based model - A case study from Ahuachapán, El Salvador [PDF]
, 2020 DSM is the inference of spatial and temporal soil property variations using mathematical models based on quantitative relationships between environmental information and soil measurements.
Casares, Francisco +5 more
core +3 more sources
Environmental Covariate Representation of Seasonal U.S. Tornado Frequency [PDF]
Journal of Applied Meteorology and Climatology, 2019 AbstractThe significant tornado parameter is a widely used meteorological composite index that combines several variables known to favor tornadic supercell thunderstorms. This research examines the spatial relationship between U.S. tornado frequency and the significant tornado parameter (the predictor covariate) across four seasons in order to ...
Vittorio A. Gensini +1 more
openaire +1 more source
Improving 3D Digital Soil Mapping Based on Spatialized Lab Soil Spectral Information
Remote Sensing, 2023 Readily available environmental covariates in current digital soil mapping usually do not indicate the spatial differences between deep soil attributes.
Zheng Sun +4 more
doaj +1 more source
Land, 2023 Soil Organic Carbon (SOC) is a crucial indicator of ecosystem health and soil quality. Machine learning (ML) models that predict soil quality based on environmental parameters are becoming more prevalent.
Amit Kumar +9 more
doaj +1 more source
International Journal of Digital Earth, 2023 Mapping soil organic matter (SOM) content has become an important application of digital soil mapping. In this study, we processed all Sentinel-2 images covering the bare-soil period (March to June) in Northeast China from 2019 to 2022 and integrated the
Chong Luo +3 more
doaj +1 more source
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. +7 more
openaire +5 more sources
Predicting spring barley yield from variety-specific yield potential, disease resistance and straw length, and from environment-specific disease loads and weed pressure [PDF]
, 2008 For low-input crop production, well-characterised varieties increase the possibilities of managing diseases and weeds. This analysis aims at developing a framework for analyzing grain yield using external varietal information about disease resistance ...
Hansen, P.K. +4 more
core +1 more source
Full Open Population Capture-Recapture Models with Individual Covariates [PDF]
, 2010 Traditional analyses of capture-recapture data are based on likelihood functions that explicitly integrate out all missing data. We use a complete data likelihood (CDL) to show how a wide range of capture-recapture models can be easily fitted using ...
Barker, Richard J. +1 more
core +1 more source