An accurate estimation of soil organic matter (SOM) content for spatial non-point prediction is an important driving force for the agricultural carbon cycle and sustainable productivity. This study proposed a hybrid geostatistical method of extreme learning machine-ordinary kriging (ELMOK), to predict the spatial variability of the SOM content. To assess the feasibility of ELMOK, a case study w...

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...

This study presents how to carry out RBDO when surrogate models are used to represent true performance functions. The Dynamic Kriging (D-Kriging) method is used to generate surrogate models, and stochastic sensitivity analysis is introduced to compute sensitivities of probabilistic constraints with respect to the design variables, which are the mean values of the input independent or correlated...

Many spatial interpolation methods perform well for gentle terrains when producing spatially continuous surfaces based on ground point data. However, few interpolation methods perform satisfactorily for complex terrains. Our objective in the present study was to analyze the suitability of several popular interpolation methods for complex terrains and propose an optimal method. A data set of 153...

Spatial estimations are increasingly used to estimate geocoded ambient particulate matter (PM) concentrations in epidemiologic studies because measures of daily PM concentrations are unavailable in most U.S. locations. This study was conducted to a) assess the feasibility of large-scale kriging estimations of daily residential-level ambient PM concentrations, b) perform and compare cross-valida...

since the change of land use accrued in the iran, especially in northern iran, this research aims tocompare the spatial variability of soil properties in three adjacent land uses including cultivated by wheat lands, grazing lands and forest lands covered by juniperus sp,  fagus orientalis, quercus castanifolia, and acer velotinum species in kiasar region, mazandaran province, northern iran. som...

the standardized precipitation index (spi) has become a popular measure of drought across the globe. in this study, standardized precipitation index (spi) was used in annual period of time to survey on drought. also, in order to zonation frequency of drought, geographic information system (gis) software and kriging method used for extracting dry areas. the zoning maps show most severe drought i...

One important method to obtain the continuous surfaces of soil properties from point samples is spatial interpolation. In this paper, we propose a method that combines ensemble learning with ancillary environmental information for improved interpolation of soil properties (hereafter, EL-SP). First, we calculated the trend value for soil potassium contents at the Qinghai Lake region in China bas...