In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of the Artificial Neural Networks (ANNs) technique in ore grade estimation. Different training algorithms and numbers of hidden neurons are applied to estimate Cu grade of borehole data in the hypogene zone of porphyry copper-gold deposit, Masjed-Daghi, East Azerbaijan Province (Iran). The ef...

abstract: converting point data to continuous one is the first step in order to use them in scorpan flowchart. for this purpose, different geostatistic methods are available which at present research regression kriging with local variogram was applied. for mapping apparent electrical conductivity at the area covering 72000ha located in ardakan region, 700 readings in horizontal and vertical mod...

The knowledge about the spatial distribution of soil organic carbon stock (SOCS) helps in sustainable land-use management and ecosystem functioning. No such study has been attempted complex topography land use Himalayas, which is associated with great heterogeneity uncertainties. Therefore, this digital mapping (DSM) was used to predict evaluate SOCS using advanced geostatistical methods a mach...

Patterns of spatial heterogeneity in forests and other fire-prone ecosystems are increasingly recognized as critical for predicting fire behavior subsequent effects. Given the difficulty sampling continuous patterns across scales, statistical approaches common to scale from plot landscapes. This study compared performance four interpolation methods (SIM) mapping fine-scale fuel loads: classific...

Spatial interpolation methods usually differ in their underlying mathematical concepts. Each has inherent advantages and disadvantages, choosing a method should be based on the type of data to analyzed. This paper, therefore, compares evaluates performances well-established techniques that can used estimate monthly rainfall Thailand. The approaches analyzed include inverse distance weighting (I...

The contamination of farmlands with hazardous metals from mining puts the safety agricultural commodities at risk. For remediation, it is crucial to map spatial distribution contaminated soil. Typical sampling-based procedures are time-consuming and labor-intensive. use visible, near-infrared, short-wave infrared reflectance (VNIR-SWIR) spectroscopy detect soil heavy metal pollution an alternat...

In this paper, we applied the support vector machine (SVM) to the spatial interpolation of the multi-year average annual precipitation in the Three Gorges Region basin. By combining it with the inverse distance weighting and ordinary kriging method, we constructed the SVM residual inverse distance weighting, as well as the SVM residual kriging precipitation interpolation model and compared them...

Sensitivity analysis of capital investments can be effectively carried out by employing a metamodel approach and experimental designs. Although polynomial regression metamodels are popular and straightforward, they do not consider spatial relationships among the data. Dual kriging is an estimation technique that allows the incorporation of spatial correlation into the interpolation or estimatio...

In this work, we investigate the issue of providing a statistical model for the response of a computer model-described nuclear engineering system, for use in uncertainty propagation. The motivation behind our approach is the need for providing an uncertainty assessment even in the circumstances where only a few samples are available. Building on our recent work in using a regression approach wi...

Aiming at the tracing problem of ambient air quality exceeding standard caused by unorganized emission multiple pollution sources in chemical industry park, an method based on OK-IGSO integrated algorithm is proposed. First all, ordinary Kriging (OK) geostatistics applied to prediction and interpolation atmospheric pollutants so that distribution closer reality; Then, improved glowworm (IGSO), ...