Interpolation techniques for spatial data have been applied frequently in various fields of geosciences. Although most conventional interpolation methods assume that it is sufficient to use firstand second-order statistics to characterize random fields, researchers have now realized that these methods cannot always provide reliable interpolation results, since geological and environmental pheno...

     Drought monitoring is a fundamental component of drought risk management. It is normally performed using various 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 interpolation of spatially referenced data and the prediction of v...

in this article, a numerical approximation to the solution of the newell-whitehead equation (nwe) and cauchy problem of ill-posed non-linear diffusion equation have been studied. the presented scheme is obtained by using the derivative of the cubic b-spline quasi-interpolation (bsqi) to approximate the spatial derivative of the dependent variable and first order forward difference to approximat...

The analysis of spatial data occurs in many disciplines and covers a wide variety activities. Available techniques for such analysis include spatial interpolation which is useful for tasks such as visualization and imputation. This paper proposes a novel approach to interpolation using space-filling curves. Two simple interpolation methods are described and their ability to interpolate is compa...

Introduction: The aim of this study was to spatial analysis of PM10 concentrations in the ambient air of Yazd in two seasons, and the zoning by using Kriging interpolation method. Finally, different factors affecting the concentrations of PM10 are marked and standards have been investigated Material and methods: The measurement of PM10 particulates was performed by the monitoring device HAZ-...

Yield mapping combine harvesters are capable of the continuous mapping of cereal yields. Explanations for the observed variability are frequently based upon the interpolation of soil data from a limited number of point samples. The point soil data and yield surface are integrated using the algorithms provided within mapping software and geographical information systems (GIS) that are increasing...

Areal interpolation is the process of transferring data collected over source zones to target zones. One of the applications of areal interpolation is to construct temporally consistent areal units for comparing socioeconomic data over time. Dasymetric modeling is the process of employing ancillary data to spatially refine the distribution of socioeconomic variables. In this paper, three areal ...

This paper explains the effect of various multi-wavelet interpolation methods on digital images to enhance the resolution of the images. A high resolution image is a major challenge for any image processing application, especially in defense and medical scenario. Here resolution enhancement technique is done in wavelet domain using multi-wavelets and interpolation methods. Visual perception of ...