The purpose of this work is to compare the linear and non-linear kriging methods in the mineral resource estimation of the Qolqoleh gold deposit in Saqqez, NW Iran. Considering the fact that the gold distribution is positively skewed and has a significant difference with a normal curve, a geostatistical estimation is complicated in these cases. Linear kriging, as a resource estimation method, c...

The relationship between soil properties and environmental covariates is mostly nonlinear for human impacted areas. Herein, we proposed a model mapping organic carbon (SOC) total nitrogen (TN) in typical area (a small watershed of Poyang Lake, China), namely radial basis function neural network combined with agricultural land use (RBFNN_ALU). results showed that the RBFNN_ALU performs better th...

employing recent technological advances in surveying and mapping soil salinity is a step forward in controlling saline soils. the aim of this study was to map the topsoil salinity, the depth of 0-5 cm, using different methods within the environmental context of the area around tashk & bakhtegan lake, with the area of 8062 ha, that in this region soil salinity appears to be a major threat to agr...

drought monitoring is a fundamental component of drought risk management. it is normally performed usingvarious drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables.in many instances, drought indices are used for monitoring purposes. geostatistical methods allow the interpolationof spatially referenced data and the prediction of values fo...

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...

Abstract Reference evapotranspiration (ET 0 ) estimates are commonly used in hydrologic planning for water resources and agricultural applications. Last 2 decades, machine learning (ML) techniques have enabled scientists to develop powerful tools study ET patterns the ecosystem. This investigated feasibility effectiveness of three ML techniques, including k -nearest neighbor algorithm, multigen...

Direct Neural Network Residual Kriging (DNNRK) is a two step algorithm (Kanevsky et al. 1995). The first step includes estimating large scale structures by using artificial neural networks (ANN) with simple sum of squares error function. ANN, being universal approximators, model overall non-linear spatial pattern fairly well. ANN are model free estimators and depend only on their architecture a...

In this study, a spatiotemporal estimation method based on Funk singular value decomposition (F-SVD) that considers the correlation of rainfall is proposed to improve estimations from gauge observations. Hourly data several flood events are selected verify by comparing with Inverse Distance Weighting (IDW) and Ordinary Kriging (OK) in Hanjiang basin, China. The results show (1) F-SVD has best p...

In light of the unavailability traffic volume data for all road segments, scientific literature proposes estimating this variable using spatial interpolators. However, most methods found use Euclidean distance between database points as a proximity measure, in addition to ignoring anisotropy phenomenon. Thus, objective present study was apply Ordinary Kriging (OK) with network distances and ani...