Results 31 to 40 of about 12,097 (212)
An Overview of Kriging and Cokriging Predictors for Functional Random Fields
This article presents an overview of methodologies for spatial prediction of functional data, focusing on both stationary and non-stationary conditions.
Ramón Giraldo +2 more
doaj +1 more source
Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar +10 more
wiley +1 more source
Outcomes of applying a geopedologic approach to soil survey in Iran [PDF]
The paper reviews a set of soil surveys carried out in Iran using a geopedologic approach for different surveying aims in different scales. Most of these studies have implemented a similar survey method including the following steps: delineation of ...
N. Toomanian, I. Esfandiarpour Boroujeni
doaj
A partial envelope approach for modelling multivariate spatial‐temporal data
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source
The edge effect in geostatistical simulations
The problem of edge effects in sequential simulation is widely acknowledged but usually overlooked in geostatistical simulations. They can, however, have significant effects on simulations, especially for situations in which the variogram range is ...
Xu, C. +3 more
core +1 more source
The objective was to model the spatial distribution of the physical properties of the soil through geostatistics in the Brazilian semi-arid region. The study was carried out in the Experimental Basin of Ipanema River, Pernambuco, in an alluvial area ...
Antonio Gebson Pinheiro +4 more
doaj +1 more source
A conversation with James V. Zidek
AbstractThis article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges. Zidek is a Fellow of the Royal Society of Canada and
Christian Genest, Nancy E. Heckman
wiley +1 more source
Extensions of the parametric inference of spatial covariances by maximum likelihood
The limitations of the maximum likelihood method for estimating spatial covariance parameters are: the assumption that the experimental data follow a multi-dimensional Gaussian distribution, biased estimates, impracticality for large data sets and the ...
Pardo-Iguzquiza, E. +3 more
core +1 more source
The use of geostatistics to estimate missing data in a spatial econometric model of housing prices
Housing prices have been the subject of many studies, and some of them have tried to determine the influencing structural and location factors through hedonic econometric models.
I. Tamaris Turizo +2 more
doaj +1 more source
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source

