Results 41 to 50 of about 3,258 (185)

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

open access: yesInternational Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda   +2 more
wiley   +1 more source

Contemporary Applications of Geostatistics to Soil Studies

open access: yesSoil Systems
This Special Issue presents carefully selected examples of Contemporary Applications of Geostatistics to Soil Studies [...]
Jarosław Zawadzki
doaj   +1 more source

Weed mapping using techniques of precision agriculture [PDF]

open access: yesPlanta Daninha, 2015
The aim of this study was to identify and map the weed population in a no-tillage area. Geostatistical techniques were used in the mapping in order to assess this information as a tool for the localized application of herbicides.
F.C. ROCHA   +5 more
doaj   +1 more source

Knowledge gap on the spatial structure of soil nitrogen mineralization variability—A systematic review

open access: yesAgricultural &Environmental Letters, Volume 11, Issue 2, December 2026.
Abstract Soil nitrogen (N) mineralization governs plant‐available N from soil organic matter and microbial turnover, and is typically estimated as potentially mineralizable nitrogen (PMN) via anaerobic incubations or as N0 and mineralization rate (k) via long‐term aerobic incubations.
Bibash Rokaya   +3 more
wiley   +1 more source

A Framework for the Cross‐Validation of Categorical Geostatistical Simulations

open access: yesEarth and Space Science, 2020
The mapping of subsurface parameters and the quantification of spatial uncertainty requires selecting adequate models and their parameters. Cross‐validation techniques have been widely used for geostatistical model selection for continuous variables, but
Przemysław Juda   +2 more
doaj   +1 more source

Capturing Aleatoric Uncertainty in Climate Models

open access: yesEnvironmetrics, Volume 37, Issue 5, July 2026.
ABSTRACT Internal climate variability arises from the climate system's inherently chaotic dynamics. Quantifying it is essential for climate science, as it enables risk‐based decision‐making and differentiates between externally forced change and internal fluctuations.
Cornelia Gruber   +4 more
wiley   +1 more source

CROATIAN GEOSTATISTICAL DICTIONARY

open access: yesRudarsko-geološko-naftni Zbornik, 2013
Geostatistical model and interpretation very often are made by using computer programs. Consequently, application and development of geostatistics are closely connected with progress of informatics and computers.
Tomislav Malvić   +1 more
doaj  

USING GEOSTATISTICS TO EVALUATE THE SPATIAL VARIABILITY OF THE ENVIRONMENTAL DEGRADATION LEVEL IN ITACURUBA (PERNAMBUCO, BRAZIL)

open access: yesRevista Brasileira de Ciências Ambientais, 2015
The detection and monitoring of environmental degradation requires both low-cost and easy-to-perform techniques. This study intended to conduct sampling and use geostatistics to predict the spatial variability of environmental degradation indicators. The
Sebastião Cavalcante de Sousa   +4 more
doaj   +1 more source

Optimizing Wind Power Plant Locations: A GIS‐Based Approach With Interval Type‐2 Fuzzy Risk Deviation Performance Index

open access: yesWind Energy, Volume 29, Issue 7, July 2026.
ABSTRACT This study develops an integrated GIS and multicriteria decision making (MCDM) approach supported by the Interval Type‐2 Fuzzy Risk Deviation Performance Index (IT2F‐RDPI) method to assess the wind energy potential in Diyarbakır Province. Fifteen criteria, including wind speed, slope, land use, elevation, soil structure, and proximity to ...
Ahmet Koç, Gökhan Şahin
wiley   +1 more source

Performing Spatial Variabilityof Peat Depth by Using Geostatistics

open access: yesE3S Web of Conferences, 2018
Geostatistics has been knowns as a reliable tool to explore variability in space of any measured parameter. This research aims to study how peat depth change and vary in space using geostatistics aproach.
Zuhdi Mohd.   +3 more
doaj   +1 more source

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