Kriging is a useful method for developing metamodels for product design optimization. The most popular kriging method, known as ordinary kriging, uses a constant mean in the model. In this article, a modified kriging method is proposed, which has an unknown mean model. Therefore it is called blind kriging. The unknown mean model is identified from experimental data using a Bayesian variable sel...

Abstract Managing soils for improved agricultural production requires information on soil fertility status. Our objective was to map better management in Ethiopia and determine their spatial correlation at a separation distance of 29 m. We collected 82 samples (0–20 cm depth) 560 ha land determined pH, Olsen extractable phosphorus (Olsen‐P), organic carbon (OC). then interpolated between sample...

this study was conducted to investigate the spatial variability of model parameters of soil shrinkage curve in cherlgerd district, chaharmahal-va-bakhtiari province. ninety nine locations were selected and soil clods were collected from the 0-10 cm layer and brought to the laboratory. soil shrinkage curve was measured, according to archimedes's principle, by covering the undisturbed clods ...

Geostatistika merupakan ilmu yang berfokus pada data spasial. Dalam geostatistika terdapat metode pendugaan untuk menangani variabel mempunyai nilai bervariasi dengan berubahnya lokasi atau tempat disebut teregionalisasi. Metode digunakan teregionalisasi kriging. ordinary kriging perlu memperhitungkan semivariogram. Hujan suatu proses jatuhnya air berasal dari awan ke bumi. di ukur memalui cura...

The world’s current task is to ensure food security for an ever-growing population of 7.674 billion in 2019. Soil degradation threatens sustainable agriculture arid and semi-arid climates, where evaporation rates outweigh precipitation. Soluble salts concentrated the subsoil under certain climatic conditions influence soil physicochemical properties, leading fertility biodiversity losses. Hence...

In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of wavelet neural network (WNN) technique in ore grade estimation, which is based on integration between wavelet theory and Artificial Neural Network (ANN). Different wavelets are applied as activation functions to estimate Cu grade of borehole data in the hypogene zone of porphyry ore deposi...

a simple but novel and applicable approach is proposed to solve the problem of smoothing effect of ordinary kriging estimate which is widely used in mining and earth sciences. it is based on transformation equation in which z scores are derived from ordinary kriging estimates and then rescaled by the standard deviation of sample data and the sample mean is added to the result. it bears the grea...

This paper investigates the use of Kriging in random simulation when the simulation output variances are not constant. Kriging gives a response surface or metamodel that can be used for interpolation. Because Ordinary Kriging assumes constant variances, this paper also applies Detrended Kriging to estimate a non-constant signal function, and then standardizes the residual noise through the hete...

A simple but novel and applicable approach is proposed to solve the problem of smoothing effect of ordinary kriging estimate which is widely used in mining and earth sciences. It is based on transformation equation in which Z scores are derived from ordinary kriging estimates and then rescaled by the standard deviation of sample data and the sample mean is added to the result. It bears the grea...

Accurate spatial distribution information of rainfall is essential to rainfall-induced hazard predictions and statistical interpolation methods may serve as a useful tool produce detailed from coarse data sources. Although numerous comparison studies about different have been conducted on irregular rain-gauge networks, there need perform such work the increasingly available gridded data. Carrie...