Planning spatial sampling of the soil from an uncertain reconnaissance variogram [PDF]
SOIL, 2017 An estimated variogram of a soil property can be used to support a rational choice of sampling intensity for geostatistical mapping. However, it is known that estimated variograms are subject to uncertainty.
R. M. Lark +8 more
doaj +1 more source
Assessing the role of spatial externalities in the survival of Italian innovative startups
Regional Science Policy &Practice, EarlyView., 2023 Abstract The paper provides novel empirical evidence about the effects of spatial externalities on the survival of innovative startups in Italy. Using geocoded firm‐level data, we build micro‐geographic measures of specialization and diversity that are robust to the modifiable areal unit problem.
Diego Giuliani +4 more
wiley +1 more source
On Robustness for Spatio-Temporal Data
Mathematics, 2022 The spatio-temporal variogram is an important factor in spatio-temporal prediction through kriging, especially in fields such as environmental sustainability or climate change, where spatio-temporal data analysis is based on this concept.
Alfonso García-Pérez
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Application of Dueling DQN and DECGA for Parameter Estimation in Variogram Models
IEEE Access, 2020 Parameter estimation of variogram models is an important problem in geostatistics and environmental engineering. Most of existing works aim to estimate parameters of variogram single models, while neglecting the parameter estimation of variogram nested ...
Yu Liu, Cong Zhang
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Variograms of the Cosmic Microwave Background Temperature Fluctuations: Confirmation of Deviations from Statistical Isotropy [PDF]
, 2010 The Standard Inflationary model predicts an isotropic distribution of the Cosmic Microwave Background temperature fluctuations. Detection of deviations from statistical isotropy would call for a revision of the physics of the early universe.
Ackerman +27 more
core +2 more sources
A Diagnostic to Assess the Fit of a Variogram Model to Spatial Data
Journal of Statistical Software, 1996 The fit of a variogram model to spatially-distributed data is often difficult to assess. A graphical diagnostic written in S-plus is introduced that allows the user to determine both the general quality of the fit of a variogram model, and to find ...
Ronald Barry
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Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium [PDF]
Hydrology and Earth System Sciences, 2011 Spatial interpolation of precipitation data is of great importance for hydrological modelling. Geostatistical methods (kriging) are widely applied in spatial interpolation from point measurement to continuous surfaces.
S. Ly, C. Charles, A. Degré
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Using variograms to detect and attribute hydrological change [PDF]
, 2015 There have been many published studies aiming to identify temporal changes in river flow time series, most of which use monotonic trend tests such as the Mann–Kendall test.
Bloomfield, J. P. +6 more
core +5 more sources
Remote Sensing, 2023 The analysis of spatiotemporal changes of landscape patterns is of great significance for forest protection. However, the selection of landscape metrics is often subjective, and existing composite landscape metrics rarely consider the effects of spatial ...
Ying Zhang +3 more
doaj +1 more source
Zoning and uncertainty analysis of heavy metal pollution risk in surface water resources of copper mine by Bayesian analysis and sequential Gaussian simulation [PDF]
علوم محیطی, 2020 Introduction: Industrial and agricultural activities resulting in the production of toxic heavy metals may endanger water quality, public health, and the environment.
Akram Seifi, Hossien Riahi
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