rainfall spatial analysis methods are very helpful since there are not enough rainfall gauge stations and watersheds are scattered in large extent. there are many different methods for estimating average precipitation such as; arithmetic method and thiessen polygon. however, the arrangement and location of data and their correlations are not considered by classic methods. thus, geostatistical t...

To determine which interpolation technique is the most suitable for each case study an essential task a correct soil mapping, particularly in studies performed at regional scale. So, our main goal was to identify accurate method mapping 12 variables three different depth intervals: 0–5, 5–10 and >10 cm. For doing that, we have compared nine methods (deterministic geostatistical), drawing map...

Information on chlorine concentration in groundwater for drinking and agriculture is important. If theconcentration of this element is in too much water can cause problems for humans and is toxic toplants. Measurement of chloride in groundwater is extensive, costly and time consuming. Find easyand inexpensive method has a special importance. the Statistical methods are based on spatialvariables...

where d(xi) is a vector of explanatory variables with associated vectors of regression coefficients β. A plot of the logit-transformed prevalence against elevation, shows a positive association up to about 2000 meters and negative thereafter (Figure 2). For this reason elevation was included in the model using a quadratic polynomial. The spatial random effects S(x) can be interpreted as the cum...

Site Index has been widely used as an age normalised metric in order to account for variation forest height at a range of spatial scales. Although previous research modelling methods describe the regional Index, little examined gains that can be achieved through use regression kriging or ensemble methods. In this study, extensive set environmental surfaces were covariates predict measurements c...