We have developed a domain agnostic ordinary kriging algorithm accessible via a standardsbased service-oriented architecture for sensor networks. We exploit the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards. We need on-demand interpolation maps so runtime performance is a major priority. Our sensor data comes from wind in-situ observation stations in an area approximate...

Interpolating scattered data points is a problem of wide ranging interest. One of the most popular interpolation methods in geostatistics is ordinary kriging. The price for its statistical optimality is that the estimator is computationally very expensive. We demonstrate the space and time efficiency and accuracy of approximating ordinary kriging through the use of covariance tapering combined ...

Environment pollution is a major problem in developing countries these days. Air pollution in particularis a cause of many diseases.In the present study an attempt has been made to map the pollution areas of Agra and predict the pollution at unsampled location.For this thirty places of Agra are selected for collectingair samples.Geographic Information System (GIS) and Kriging (Ordinary Kriging)...

Groundwater is one the major sources of natural water being exploited excessively for various uses in India.
 Thus, it very essential to monitor spatial and temporal variability groundwater quality. Geo-Statistical Interpolation using GIS has been considered as best most advanced method interpolation prediction studies pollution quality, adopted universally. In this paper, ordinary Kriging...

Variograms are used to describe the spatial variability of environmental variables. In this study, the parameters that characterize the variogram are obtained from a variogram in a different but comparably polluted area. A procedure is presented for improving the variogram modelling when data become available from the area of interest. Interpolation is carried out by means of a Bayesian form of...

The contamination of farmlands with hazardous metals from mining puts the safety agricultural commodities at risk. For remediation, it is crucial to map spatial distribution contaminated soil. Typical sampling-based procedures are time-consuming and labor-intensive. use visible, near-infrared, short-wave infrared reflectance (VNIR-SWIR) spectroscopy detect soil heavy metal pollution an alternat...

Infrastructures play an important role in urbanization and economic activities but are vulnerable. Due to unavailability of accurate subsurface infrastructure maps, ensuring the sustainability resilience often poorly recognized. In current paper a 3D topographical predictive model using distributed geospatial data incorporated with evolutionary gene expression programming (GEP) was developed ap...