Results 31 to 40 of about 12,061 (187)
Advanced 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
Geoinformatics FCE CTU, 2012 Geostatistics is a scientific field which provides methods for processing spatial data. In our project, geostatistics is used as a tool for describing spatial continuity and making predictions of some natural phenomena.
Adéla Volfová, Martin Šmejkal
doaj +1 more source
PLoS ONE, 2020 Source apportionment of potentially toxic elements in soils is a critical step for devising soil sustainable management strategies. However, misjudgment or imprecision can occur when traditional statistical methods are applied to identify and apportion ...
Cao Jianfei +4 more
doaj +1 more source
The edge effect in geostatistical simulations
, 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
From patterns to predictions: a framework for the spatial epidemiology of wildlife diseases
Ecography, EarlyView.Wildlife diseases pose a significant threat to biodiversity conservation, public health, and livestock. Spatial epidemiology provides a robust framework to understand disease dynamics and guide policy and management. However, the rapid proliferation of spatial methods has largely occurred in isolation across disciplines, leaving the field without a ...
Cesar Herraiz, Pelayo Acevedo
wiley +1 more source
Spatial distribution of soil chemical properties in pasture and forest area
Pesquisa Agropecuária Tropical, 2014 The knowledge on spatial distribution of soil properties by means of geostatistics is important as an indicator for a better soil use and management. This study aimed at evaluating the spatial distribution of soil chemical properties, in a forest and ...
Renato Eleoterio de Aquino +4 more
doaj +1 more source
Application of geostatistics in spatial analyses [PDF]
Glasnik Srpskog Geografskog Društva, 2007 During the last decade, the development of computational technique has influenced wider implementation of numerical methods in different software applications, which are oriented to processing, presentation, and analysis of spatial data.
Bajat Branislav, Blagojević Dragan
doaj +1 more source
Extensions of the parametric inference of spatial covariances by maximum likelihood
, 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
Food 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
Urban Landscape Structure of a Fast-Growing African City: The Case of Niamey (Niger)
Urban Science, 2019 Combining multivariable statistics and geostatistics with landscape metrics, we attempted to quantify the spatial pattern of urbanization in the city of Niamey, Niger.
Jean-Pierre Rossi, Gauthier Dobigny
doaj +1 more source