In this paper, we aim to present a quantitative modeling for delineating the alteration zones and lithological units in the hypogene zone of Masjed-Daghi Cu-Au porphyry deposit (NW Iran) based on the drill core data. The main goal of this work is to apply Ordinary Kriging (OK) and concentration-volume (C-V) fractal model based on Cu grades in order to separate the different alteration zones and...

The present paper proposes a new diagnostic tool for the structural health monitoring that employs a Kriging Interpolation. Structural health monitoring is a noticeable technology for aged civil structures. Most of the structural health monitoring systems adopts parametric method based on modeling or non-parametric method such as artificial neural networks or response surfaces. The conventional...

BACKGROUND Geostatistical techniques are now available to account for spatially varying population sizes and spatial patterns in the mapping of disease rates. At first glance, Poisson kriging represents an attractive alternative to increasingly popular Bayesian spatial models in that: 1) it is easier to implement and less CPU intensive, and 2) it accounts for the size and shape of geographical ...

In der Arbeit wird die Anwendung von Kriging-Algorithmen zur Einschätzung der Werte jährlicher Regenfälle in ausgewählten Punkten eines Bereiches zur Anfertigung genauer Regenfallkarten dieses Bereiches besprochen. Das Verfahren der Kriging-Approximation besteht aus der Lösung algebraischer Gleichungen, aus mathematischer Modellierung und statischer Optimierung. Es werden ein Approximationsalgo...

This study compares three imputation methods applied to the field observations of hydraulic head in subsurface hydrology. Hydrogeological studies that analyze timeseries groundwater elevations often face issues with missing data may mislead both interpretation relevant processes and accuracy analyses. The adopted for this comparative are relatively simple be implemented thus easily applicable l...

Karachi city is a coastal near the Arabian sea. Due to its location, wind speed may provide sustainable small scale energy system as well reduction in power shortage city. In this study, data of Airport station at 10m height used estimate surrounding area with reference measured station. This estimated will then be helpful assess generation unsampled locations. Geo-Statics tool ArcGIS version 1...

The packages geoR and geoRglm are contributed packages to the statistical software system R, implementing methods for geostatistical data analysis. Diggle, Ribeiro Jr. and Christensen (2003) provides an introduction to the modelling and theory behind these two packages. In this paper we focus on the capabilities of the packages, the computational implementation and related issues, and indicate ...

Sampling and estimation of geographical attributes that vary across space (e.g., area temperature, urban pollution level, provincial cultivated land, regional population mortality and state agricultural production) are common yet important constituents of many real-world applications. Spatial attribute estimation and the associated accuracy depend on the available sampling design and statistica...

MULTI-OBJECTIVE OPTIMIZATION OF BLAST SIMULATION USING SURROGATE MODEL Toshihiro Tsuga, M.S. George Mason University, 2007 Thesis Director: Dr. Rainald Löhner A multi objective optimization approach using a Kriging model coupled with a Multi Objective Genetic Algorithm (MOGA) is applied to a blast damage maximization problem composed of two objectives, namely number of casualties and damage to ...

Kriging is an interpolation technique that is used to estimate a variable at an unmeasured location from observed values at nearer locations. In this study, it is used to analyze the spatial distributions of the health risk of indoor air pollution. The study case is an air-conditioned office building that has 16 floors, located in Taipei, Taiwan. The Kriging method is used in drawing health ris...