Inverse Distance Weighted (IDW) based interpolation method is also widely used in earth science studies. In the classical IDW method, directional distribution of reference points around point to be estimated within critical circle and slope differences are not taken into consideration. On other hand, IDW-based developed by Shepard, ratio distances radius (r), anisotropy this study, results Shep...

This article proposes a new approach for determining the optimal parameter (β) in Inverse Distance Weighted Method (IDW) spatial interpolation of hydrological data series. is based on genetic algorithm (GA) and finds unique β entire study region, while classical one determines different βs interpolated The proposed four scenarios crossover/mutation: single-point/uniform, single-point/swap, two-...

The objective of this study is to create building damage hazard zonation area using fuzzy kohonen clustering network (FKCN) for physical parameter data clustering and inverse distance weighting (IDW) for data interpolation in Banda Aceh city, Indonesia. IDW algorithm is used alongside FKCN because of its simplicity. The physical parameter in this study consists of lithology, topographic zone an...

The spatial interpolation of property fields in 3D, such as the temperature, salinity, and organic content of ocean water, is an active area of research in the applied geosciences. Conventional interpolation methods have not adequately addressed anisotropy in these data. Thus, in our research we considered two interpolation methods based on a triangular prism volume element, as a triangular pri...

Abstract This study reported the results of groundwater quality for drinking and irrigation purposes in Kurukshetra district, Haryana, India. Twelve parameters, namely pH, TDS, TH, sodium (Na+), magnesium (Mg2+), calcium (Ca2+), potassium (K+), chloride (Cl−), sulfate (SO42−), bicarbonate (HCO3−), nitrate (NO3−), fluoride (F−) were evaluated Water Quality Index (WQI) was calculated. Based on WQ...

Estuarine ecosystems are becoming increasingly altered by the concentration of human populations near the coastline, however a robust indicator of this change is lacking. We developed an index of waterbird community integrity (IWCI) and tested its sensitivity to anthropogenic activities within 28 watersheds and associated subestuaries of Chesapeake Bay, USA. The IWCI was used as a tool to gain ...

The main efforts and applications up to now are focused on the spatial variability analysis within a field. The spatial variability of soil properties within a field was evaluated using geostatistical analysis and the interpolation methods for mapping soil properties were compared in this paper. This experimentation was conducted in a wheat field of the trail farm in Shunyi County, Beijing. The...

Spatial interpolation methods are widely used in various fields and have been studied by several scholars with one or a few specific sampling datasets that do not reflect the complexity of the spatial characteristics and lead to conclusions that cannot be widely applied. In this paper, three factors that affect the accuracy of interpolation have been considered, i.e., sampling density, sampling...

in this research, the spatial distribution of fe, cu, zn and mn on agricultural lands of golestan province were evaluated using different interpolation methods such as, kriging, inverse distance weighted, local polynomial, inverse multiquadric and radial basis function. thus, 505 soil samples were provided from fields during 2008 and micronutrients rates were measured for each sample. the perfo...

This study aims to recognize effect of Ordinary Kriging (OK) and Inverse Distance Weighted (IDW) estimation methods for separation of geochemical anomalies based on soil samples using Concentration-Area (C-A) fractal model in Irankuh area, central Iran. Variograms and anisotropic ellipsoid were generated for the Pb and Zn distribution. Thresholds values from the C-A log-log plots based on the e...