The spatial structure of population subgroups is important for many reasons. Information on the spatial concentrations of people in particular groups may be used for guiding government policy and is central to understanding issues such as differential access to resources. In addition, any geographical analysis of populations is partly a function of the spatial scale of variation of subgroups of...

The present study was carried out to evaluate three interpolation methods including weighted moving average (WMA) with the power of 2 and 3, Kriging and Cokriging methods. Data of 23 wells in Mazandaran province were collected in fall and spring 2006. Seven parameters including electrical conductivity (EC), pH, total dissolved solids (TDS), sodium adsorption ratio (SAR), total hardness (TH), ch...

High-resolution topographic data expand the potential of quantitative analysis of the earth surface, improving the interpretation of geomorphic processes. In particular, the morphologies of the channel beds of mountain streams, which are characterised by strong spatial variability, can be analysed much more effectively with this type of data. In this study, we analysed the aerial LiDAR topograp...

Dollar spot (Sclerotinia homoeocarpa F.T. Bennett) causes one of the most important diseases faced by golf course superintendents throughout the USA. Fungicides are effective, but fungicide resistance and regulation have restricted their use. Site-specifi c application allows more judicious use of fungicides, but the spatial heterogeneity of dollar spot incidence has been unknown. An intensive ...

• Semi-analytical solution for radial symmetric groundwater flow with fractal dimension. Solver pumping test in heterogeneous media effective transmissivity distribution. Upscaling of fields following truncated power-law variograms. and routines provided as Python package: AnaFlow. Pumping tests are established characterizing spatial average properties aquifers. At the same time, they promising...

In this study a new approach to rank exponential fuzzy numbers using  -cuts is established. The metric distance of the interval numbers is extended to exponential fuzzy numbers. By using the ranking of exponential fuzzy numbers and using  -cuts the critical path of a project network is solved and illustrated by numerical examples. Keywords: Exponential Fuzzy Numbers,  -cuts, Metric Dista...

In this paper, estimation of fibre orientation is studied for fibre systems observable as a blurred greyscale image. The estimation method is based on scaled variograms observed along a set of sampling lines in different directions. The parameters of the orientation distribution are obtained numerically. Simulated data are used to study the statistical properties of the method.

So far, the pseudo cross-variogram is primarily used as a tool for structural analysis of multivariate random fields. Mainly applying recent theoretical results on cross-variogram, we use it cornerstone in construction valid covariance models In particular, extend known univariate constructions to case, and generalize existing models. Furthermore, provide general principle conditionally negativ...

estimating the amount of variation due to spatial dependence at different scales provides a basis for designing effective experiments. accurate knowledge of spatial structures is needed to inform silvicultural guidelines and management decisions for long term sustainability of forests. furthermore, geostatistics is a useful tool to describe and draw map the spatial variability and estimation of...