The aims of this paper are to: (i) summarise, characterise and interpret sources of uncertainty in the assessment of soil change; (ii) describe applications of uncertainty analysis in soil-change research; (iii) represent uncertainty analysis in soil change in the form of a systems-based process model that captures the major sources of uncertainty in the modelling process; and (iv) provide illustrative examples in the context of error disaggregation and geostatistics
The cancer incidence values in the residential units were added to a specially designed geodatabase and were mapped with ArcGIS 10 software using the Kriging geostatistics
The firm is recognized as a leader in providing a wide range of services, including reservoir simulations and geostatistics
to analyze the dynamics of production from reservoirs; evaluations of gas contracts; analysis of the storage capabilities of gas storage reservoirs; evaluation of potential secondary or enhanced oil recovery projects; analysis of well logs; and the development of unitization studies and environmental assessment capabilities.
model construction, variography, geostatistics
studies and grade
It is widely used in the field of Geostatistics
(Cressie, 1993; Armstrong, 1998).
is a branch of statistics in which the spatial continuity behavior of the groundwater data is incorporated into the estimation process (Isaaks and Srivastava, 1989).
In Studies and calculations of geostatistics
, it is better that distribution of data is normal.
Mr Slater has a broad range of experience in geological modelling, resource evaluation, geostatistics
and in undertaking resource grade estimation.
Eighteen technical sessions along with knowledge sharing ePoster stations will cover topics such as IOR/EOR modelling, reservoir monitoring and management, formation evaluation and petrophysics, history matching, geostatistics
and static modeling and integrated modeling.
Applications of geographic information systems and geostatistics
in plant disease epidemiology and management.
The topics include a model-based frequentist design for univariate and multivariate geostatistics
, spatial sampling design by means of spectral approximations to the error process, accounting for design in the analysis of spatial data, spatial design for knot selection in knot-based dimension reduction models, space-time adaptive sampling and data transformations, adaptive sampling design for spatio-temporal prediction, and active learning for monitoring network optimization.
Scientometric analysis of geostatistics
using multivariate methods.