Results 81 to 90 of about 3,459 (219)

Testing Cumulative Semivariogram Modelling Technique on Bouguer Anomaly

open access: yes, 2014
: In principle, spatial correlation is depicted using Semivariogram technique. Cumulative Semivariogramtechnique is the alternative for conventional Semivariogram technique, has various advantages but not widely used in gravity modelling.
Rishabh Gupta, Utkarsh Rastogi
core  

Isotropic semivariogram: Semivariance of model observations in function of distance between sites where wolves were uncovered.

open access: yes, 2023
Isotropic semivariogram: Semivariance of model observations in function of distance between sites where wolves were uncovered.
Jacopo Cerri (6271958)   +12 more
core   +1 more source

Fractal dimension and geostatistical parameters for soil microrelief as a function of cumulative precipitation Parâmetros fractais e geoestatística do microrrelevo do solo em função de chuva acumulada

open access: yesScientia Agricola, 2010
Surface roughness isinfluenced by type and intensity of soil tillage among other factors, and it changes considerably with rain. In microrelief studies the advantages of using indices such as the fractal dimension, D, and the crossover length, l, is that
Eva Vidal Vázquez   +3 more
doaj   +1 more source

Mapping the Spatial Scales of Australian Extreme Precipitation Using Daily Rain Gauges

open access: yesInternational Journal of Climatology, Volume 46, Issue 5, April 2026.
We present the first continent‐wide analysis of the spatial scales of daily extreme precipitation events (EPEs) in Australia using station observations and semivariogram analysis. EPEs generally have larger spatial scales at higher latitudes, with strong seasonal and regional differences shaped by topography, meteorological regimes, and climate ...
Dongqi Lin   +2 more
wiley   +1 more source

Isotropic semivariogram: Semivariance of model observations in function of distance between sites where wolves were recovered.

open access: yes, 2023
Isotropic semivariogram: Semivariance of model observations in function of distance between sites where wolves were recovered.
Jacopo Cerri (6271958)   +12 more
core   +1 more source

On the spatial clustering of behavioural phenotypes: matching movement tactics with landscape structure in a large herbivore

open access: yesOikos, Volume 2026, Issue 4, April 2026.
In the wild, individuals consistently differ in movement and space use behaviours, depending on their personality. This variation can lead to personality–habitat associations and spatial structuring, potentially generating individual niche segregation.
Inès Khazar   +7 more
wiley   +1 more source

Spatial analysis and prediction of Curonian lagoon data with Gstat

open access: yesMathematical Modelling and Analysis, 2004
The typical goal of geostatistical analysis is to interpolate values of variable under consideration at unobserved locations using data on observed locations because it is not feasible to gather all data of the observations in the study area.
R. Garška, I. Krūminiene
doaj   +1 more source

Influência do Tipo de Amostragem na Estimativa de Volume de Madeira de Eucalipto por Krigagem

open access: yesFloresta e Ambiente
RESUMO O objetivo da pesquisa foi verificar se a estimativa do volume individual de madeira por árvore realizada pela krigagem é influenciada pelo tipo de amostragem. Um povoamento com 1.875 árvores de eucalipto foi demarcado em um plano cartesiano (X, Y)
Wellington Jorge Cavalcanti Lundgren   +2 more
doaj   +1 more source

Geostatistical Investigations of Displacements on the Basis of Data from the Geodetic Monitoring of a Hydrotechnical Object

open access: yesStudia Geotechnica et Mechanica, 2017
Geostatistical methods make the analysis of measurement data possible. This article presents the problems directed towards the use of geostatistics in spatial analysis of displacements based on geodetic monitoring.
Namysłowska-Wilczyńska Barbara   +1 more
doaj   +1 more source

Measuring Spatial Dependence with Semivariograms

open access: yesBulletin (Kansas Geological Survey), 1977
The semivariogram is a measure of statistical dependence and is closely related to the autocorrelogram. It is particularly suitable for analysis of spatial functions that describe natural phenomena characterized by a geographic distribution and variations which arc in part continuous and in part stochastic.
openaire   +1 more source

Home - About - Disclaimer - Privacy