Results 31 to 40 of about 12,097 (212)

An Overview of Kriging and Cokriging Predictors for Functional Random Fields

open access: yesMathematics, 2023
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

Revolutionising Agricultural Sustainability: New ‘Furrow Tillage’ can Mitigate Short‐Term Soil‐to‐Atmosphere CO2 Flux and Promote Soil‐Plant‐Microbe Health

open access: yesAdvanced Science, EarlyView.
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]

open access: yesDesert, 2017
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

open access: yesCanadian Journal of Statistics, EarlyView.
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

open access: yes, 2012
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

Characterization of alluvial soil hydrodynamics in the upper Ipanema river basin using the Beerkan method

open access: yesDyna, 2021
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

open access: yesCanadian Journal of Statistics, EarlyView.
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

open access: yes, 2012
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

open access: yesRevista Ingeniería de Construcción, 2022
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

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

open access: yesFood Safety and Health, EarlyView.
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

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