Remote Sensing, 2012 A detailed introduction to variogram analysis of reflectance data is provided, and variogram parameters (nugget, sill, and range values) were examined as possible indicators of abiotic (irrigation regime) and biotic (spider mite infestation) stressors ...
Christian Nansen
doaj +1 more source
A study of soil moisture variability for landmine detection by the neutron technique [PDF]
Nuclear Technology and Radiation Protection, 2007 This paper is focused on the space and temporal variability of soil moisture experimental data acquired at a few locations near landmine fields in the Tuzla Canton, as well as on the quantification of the statistical nature of soil moisture data on a ...
Avdić Senada
doaj +1 more source
Statistical and Geostatistical Appraisal of Spatial Variability of Aggregate Stability and Aggregate-Associated Organic Carbon Content on a Catchment Scale in a Semi-arid Region, Central Iran [PDF]
Desert, 2012 In a semiarid region of central Iran, effects of parent materials, physiography and landscape position, land use, andmanagement practices on association of organic carbon with secondary (aggregates) particles and aggregate stability canhave important ...
H.R. Motaghian, J. Mohammadi
doaj +1 more source
Modeling Non-Stationary Processes Through Dimension Expansion [PDF]
, 2011 In this paper, we propose a novel approach to modeling nonstationary spatial fields. The proposed method works by expanding the geographic plane over which these processes evolve into higher dimensional spaces, transforming and clarifying complex ...
Bornn, Luke +2 more
core +3 more sources
Automatic real-time interpolation of radiation hazards: prototype and system architecture considerations [PDF]
, 2009 Detecting and monitoring the development of radioactive releases in the atmosphere is important. In many European countries monitoring networks have been established to perform this task.
Heuvelink, G.B.M. +3 more
core +7 more sources
Leveraging Deep Learning for Automated Experimental Semivariogram Fitting
AtmosphereThe variogram function is a crucial tool for quantifying spatial correlation and a key component of Kriging interpolation, directly influencing the accuracy of interpolation results.
Siyu Yu, Lifang Zhao, Shaohua Li
doaj +1 more source
Spatial distribution pattern analysis using variograms over geographic and feature space
Geo-spatial Information ScienceVariogram analysis is effective in revealing the spatial distribution patterns of geographic variable(s). Yet, existing variograms mostly focus on the impact of spatial correlation on the variable variation and neglect the impact of geographic ...
Fang-He Zhao, A-Xing Zhu, Cheng-Zhi Qin
doaj +1 more source
Graph Variogram: A novel tool to measure spatial stationarity
, 2018 Irregularly sampling a spatially stationary random field does not yield a graph stationary signal in general. Based on this observation, we build a definition of graph stationarity based on intrinsic stationarity, a less restrictive definition of ...
Girault, Benjamin +2 more
core +1 more source
Linking biofilm spatial structure to real-time microscopic oxygen decay imaging [PDF]
, 2018 This is an Accepted Manuscript of an article published by Taylor & Francis Group in Biofouling on 2018, available online at: http://www.tandfonline.com/10.1080/08927014.2017.1423474Two non-destructive techniques, confocal laser scanning microscopy (CLSM)
Freixa, Anna +3 more
core +2 more sources
Spatial variation of total column ozone on a global scale
, 2007 The spatial dependence of total column ozone varies strongly with latitude, so that homogeneous models (invariant to all rotations) are clearly unsuitable.
Stein, Michael L.
core +2 more sources