There are nearly 8,000 sites in the United States for which detailed climatologies of various atmospheric variables have been produced. However, spatial interpolation of these point climatologies via traditional techniques (IDW, kriging, etc.) is often not accurate, especially in mountainous regions, coastal zones, or data sparse areas. This paper discusses NCDC's preliminary efforts to combine...

This study compares three interpolation methods to create continuous surfaces that describe temperature trends in Bangladesh between years 1948 and 2007. The reviewed techniques include Spline, Inverse Distance Weighting (IDW) and Kriging. A statistical assessment based on univariate statistics of the resulting continuous surfaces indicates that there is little difference in the predictive powe...

Islet cell antibodies can predict eventual insulin-dependent diabetes mellitus. In the standard method used by the Immunology of Diabetes Workshop (IDW), predictive power depends on antibody titer as determined by testing multiple serum dilutions. Here I report use of a microscope-based photometry system (MPS) to test whether islet fluorescence intensities from undiluted sera can predict IDW re...

accurate analysis and interpolation of heavy metals, especially arsenic concentrationin ground watercan play a significant role in planning and continuous monitoring of water resources. the analysis may also prevent human health issues.the purpose of this paper was to evaluate newly published sugeno type fuzzy inference system as an interpolation method for estimating the amount of arsenic in k...

abstract precipitation as the most important factor plays the main role in many application researches which are based on climatic parameters. many researches in the field of hydrology, hydrometeorology and agriculture employs rain-gauges (such as synoptic and climatologic stations) data. precipitation characteristics, such as rainfall intensity and duration, usually exhibit significant spatial...

Precipitation is a key variable in the hydrological cycle and essential input data rainfall-runoff modeling. Rain gauge are considered as one of best sources precipitation but before further use, must be spatially interpolated. The process interpolation particularly challenging over mountainous areas due to complex orography usually sparse network rain gauges. This paper investigates two determ...

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...

the quality of surface water within a region is mainly influenced by natural processes such as precipitation, soil erosion and weathering, geology, vegetation and anthropogenic activities. the most important factor is geological formation in watershed and water flow path. in this study, the spatial variations of physical and chemical parameters of surface water including ec, sar, cl and tds and...

in many urban areas, groundwater has been exploited neglecting to wet and dry periods owing to of surface water deficit. in this study, using the percent of normal rainfall index, 36 year (1971-2008) were studied and a drought event and a wet event were determined. the reason to choose two consecutive years is the effect of early wet period on groundwater quality. physicochemical characteristic...

Information about the distribution and abundance of the habitat-forming sessile organisms in marine ecosystems is of great importance for conservation and natural resource managers. Spatial interpolation methodologies can be useful to generate this information from in situ sampling points, especially in circumstances where remote sensing methodologies cannot be applied due to small-scale spatia...