Results 21 to 30 of about 32,345 (261)
Modeling the distribution of invasive species (Ambrosia spp.) using regression kriging and Maxent
Invasion by non-native species due to human activities is a major threat to biodiversity. The niche hypothesis for invasive species that rapidly disperse and disturb ecosystems is easily discarded owing to eradication activities or unsaturated dispersal.
Ki Hwan Cho +4 more
doaj +1 more source
Spatial prediction of soil properties in two contrasting physiographic regions in Brazil
This study compared the performance of ordinary kriging (OK) and regression kriging (RK) to predict soil physical-chemical properties in topsoil (0-15 cm).
Michele Duarte de Menezes +4 more
doaj +1 more source
Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single and binary component solids [PDF]
A combination of systematic density functional theory (DFT) calculations and machine learning techniques has a wide range of potential applications.
Maekawa, Tomoya +3 more
core +2 more sources
This study was conducted to explore performances of multivariate geostatistical techniques, co-kriging and regression kriging in contrast to univariate ordinary kriging, to generate detailed maps of soil texture by using proximally sensed apparent ...
R. A. A. S. Rathnayaka +2 more
doaj +1 more source
Augmenting Geostatistics with Matrix Factorization: A Case Study for House Price Estimation
Singular value decomposition (SVD) is ubiquitously used in recommendation systems to estimate and predict values based on latent features obtained through matrix factorization.
Aisha Sikder, Andreas Züfle
doaj +1 more source
In South Africa (SA), smallholder farmers contribute significantly to food production and play an essential role in the nation’s food and nutritional security.
Seome Michael Swafo +1 more
doaj +1 more source
Uncertainty quantification in DIC with Kriging regression [PDF]
A Kriging regression model is developed as a post-processing technique for the treatment of measurement uncertainty in classical subset-based Digital Image Correlation (DIC). Regression is achieved by regularising the sample-point correlation matrix using a local, subset-based, assessment of the measurement error with assumed statistical normality and ...
Dezhi Wang +5 more
openaire +2 more sources
North Bohemia belongs to one of the most heavily industrialized and polluted regions in Europe. The enormous acid deposition which culminated in the 1970s has largely contributed to the accelerated acidification process in the soils and consequently to ...
Radim VAŠÁT +4 more
doaj +1 more source
Random Forest Spatial Interpolation
For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques.
Aleksandar Sekulić +4 more
doaj +1 more source
Available accurate and reliable precipitation data are so important in water resources management and planning. In this study,to determine the best method of regional precipitation estimate in Khuzestan province, estimated daily precipitation data from ...
M. Jamei +2 more
doaj +1 more source

