Results 21 to 30 of about 31,794 (205)

Modelling a two-dimensional spatial distribution of mycotoxin concentration in bulk commodities to design effective and efficient sample selection strategies [PDF]

open access: yes, 2009
Mycotoxins in agricultural commodities are a hazard to human and animal health. Their heterogeneous spatial distribution in bulk storage or transport makes it particularly difficult to design effective and efficient sampling plans.
Magan, Naresh   +4 more
core   +4 more sources

Spatial prediction of species’ distributions from occurrence-only records: combining point pattern analysis, ENFA and regression-kriging [PDF]

open access: yes, 2009
A computational framework to map species’ distributions (realized density) using occurrence-only data and environmental predictors is presented and illustrated using a textbook example and two case studies: distribution of root vole (Microtes oeconomus ...
Dilo, Arta   +3 more
core   +3 more sources

Use of Kriging Technique to Study Roundabout Performance [PDF]

open access: yes, 2011
Road intersections are dangerous places because of the many conflicting points between motorized and nonmotorized vehicles. In the case of defined traffic volume, several research groups have proved that roundabouts reduced the number of injuries and ...
MAZZELLA, ALESSANDRO   +2 more
core   +1 more source

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

The Use of Geostatistics in the Study of Floral Phenology of Vulpia geniculata (L.) Link

open access: yesThe Scientific World Journal, 2012
Traditionally phenology studies have been focused on changes through time, but there exist many instances in ecological research where it is necessary to interpolate among spatially stratified samples. The combined use of Geographical Information Systems
Eduardo J. León Ruiz   +3 more
doaj   +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

Geostatistical simulation of two-dimensional fields of raindrop size distributions at the meso-¿ scale [PDF]

open access: yes, 2009
The large variability of the raindrop size distribution (DSD) in space and time must be taken into account to improve remote sensing of precipitation. The ability to simulate a large number of 2-D fields of DSDs sharing the same statistical properties ...
Berne, A.   +2 more
core   +2 more sources

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  

Landslide risk management through spatial analysis and stochastic prediction for territorial resilience evaluation [PDF]

open access: yes, 2019
Natural materials, such as soils, are influenced by many factors acting during their formative and evolutionary process: atmospheric agents, erosion and transport phenomena, sedimentation conditions that give soil properties a non-reducible randomness by
Cardarilli, M.   +2 more
core   +1 more source

Spatial Random Field Models Inspired from Statistical Physics with Applications in the Geosciences

open access: yes, 2006
The spatial structure of fluctuations in spatially inhomogeneous processes can be modeled in terms of Gibbs random fields. A local low energy estimator (LLEE) is proposed for the interpolation (prediction) of such processes at points where observations ...
Hristopulos, D. T.
core   +1 more source

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