in many industrialized areas, the highest concentration of particulate matter, as a major concern on public health, is being felt worldwide problem. since the air pollution assessment and its evaluation with considering spatial dispersion analysis because of various factors are complex, in this paper, gis-based modeling approach was utilized to zoning pm2.5 dispersion over tehran, during one ye...

introduction studies about the health effects of long-term average exposure to outdoor air pollution have played an important role in the recent health impact assessments. exposure assessment for epidemiological studies of long-term exposure to ambient air pollution remains a difficult challenge because of substantial small-scale spatial variation. current approaches for assessing intra-urban ai...

In many industrialized areas, the highest concentration of particulate matter, as a major concern on public health, is being felt worldwide problem. Since the air pollution assessment and its evaluation with considering spatial dispersion analysis because of various factors are complex, in this paper, GIS-based modeling approach was utilized to zoning PM2.5 dispersion over Tehran, du...

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...

continuous soil quality evaluation in is necessary agricultural regions to sustainable soil management and profitable agricultural production. the objectives of this study were comprised of an evaluation of soil quality utilizing integrated quality index (iqi) along with its spatial distribution in qazvin province. iqi was calculated and its spatial changes analyzed using different interpolatio...

Splines are part of the standard toolbox for the approximation of functions and curves in Rd . Still, the problem of finding the spline that best approximates an input function or curve is ill-posed, since in general this yields a “spline” with an infinite number of segments. The problem can be regularized by adding a penalty term for the number of spline segments. We show how this idea can be ...

This vignette outlines the implementation of the regression spline method contained in the R crs package, and also presents a few illustrative examples.

The spatial distribution of precipitation is one the most important climatic variables used in geographic and environmental studies. However, when there a lack full coverage meteorological stations, estimations are necessary to interpolate for larger areas. purpose this research was find best interpolation method mapping partly densely populated Khorasan Razavi province northeastern Iran. To ac...