Measuring the spatial distribution of heavy metal contaminants is the basis of pollution evaluation and risk control. Considering the cost of soil sampling and analysis, spatial interpolation methods have been widely applied to estimate the heavy metal concentrations at unsampled locations. However, traditional spatial interpolation methods assume the sample sites can be located stochastically ...

Title of dissertation: EFFICIENT ALGORITHMS FOR CLUSTERING AND INTERPOLATION OF LARGE SPATIAL DATA SETS Nargess Memarsadeghi Doctor of Philosophy, 2007 Dissertation directed by: Professor David M. Mount Department of Computer Science Categorizing, analyzing, and integrating large spatial data sets are of great importance in various areas such as image processing, pattern recognition, remote sen...

| We extend the classical interpolation method to generalized interpolation. This extension is done by replacing the interpolating function by a non-interpolating function that is applied to preeltered data, in order to preserve the interpolation condition. We show, both theoretically and practically, that this approach performs much better than classical methods, for the same computational cost.

Spatial interpolation is widely used in geographical information systems to create continuous surfaces from discrete data points. The creation of such surfaces, however, can involve considerable computation, especially when large problems are addressed, because of the need to search for neighbors on which to base interpolation calculations. Computational Grids provide the computing resources to...

A new method to refine the event region in a gridbased WSN is presented. The proposed method determines the fine-grained event region from its coarse-grained version using repeated spatial interpolation. Keywords—Coarse-grained event region, fine-grained event region, inverse distance weighting, spatial interpolation, wireless sensor network,

In this paper, we investigate the application of data mining to existing techniques for quality control/anomaly detection on weather sensor observations. Specifically we adapt the popular Barnes Spatial interpolation method to use time series distance rather than spatial distance to develop an online algorithm that uses readings from similar stations based on current and historical observations...

Soil pollution by metal(loid)s resulting from rapid economic development is a major concern. Accurately estimating the spatial distribution of soil metal(loid) pollution has great significance in preventing and controlling soil pollution. In this study, 126 topsoil samples were collected in Kunshan City and the geo-accumulation index was selected as a pollution index. We used Kriging interpolat...

spatial planning system of a country is the array of its planning systems. getting familiar with spatial planning system of different countries and their experiences could help for comparison and accommodation so that making decision and defining appropriate planning system could be done. this article has studied the spatial planning system of portugal and since there are different factors affe...

Abstract: Soil pH has a major effect on plant nutrient availability by controlling the chemical structure of the nutrient. Adjusting soil acidity or alkalinity improves soil nutrition without adding extra fertilizers. Soil nutrients needed by plants in the largest amount are referred to as macronutrients. In addition to macronutrients, plants also need trace nutrients and both macro and trace n...