Integrated transport, land-use and air quality monitoring are prioritized especially in metropolitan areas. The complexity is straight forward, since data, indicators, variables, methods and approaches vary and isolated. The Spatial Information Sciences (SIS) provides mature solutions for data and policy integration, since the nature of problem is specific to geo-spatial distribution. The inter...

This paper presents a geostatistical model as a new approach to the linear prediction analysis of speech. The autocorrelation method of autoregressive modeling, which is widely applied in the linear predictive coding of speech, is used as a benchmark for comparison with the present algorithm. Before discussing the proposed model, we will briefly describe the concepts of linear prediction analys...

Variograms and covariance functions are key tools in geostatistics. However, various properties, characterizations, and decomposition theorems have been established for covariance functions only. We present analogous results for variograms and explore the connections to covariance functions. Our ndings include criteria for covariance functions on intervals, and we apply them to exponential mode...

Geostatistics deals with spatial and temporal data from natural phenomena and involves estimating values of regionalized variables. In this analysis the fundamental tool is the variogram that is a variability measure; for example, geological variability related to distance. The variogram shows the degree of spatial dependence between samples for a specific support. The squared differences betwe...

this research was conducted to investigate spatial variability and estimate tree attributes in a plantation forest in the caspian region of iran using geostatistical analysis. sampling was performed based on a 50m?125m systematic grid in a maple stand (acer velutinum boiss) 18 years of age using circular samples of 200m2 area. totally, 96 sample plots were measured in 63 hectares and 14.25 hect...

Predicting the spatial distribution of braided fluvial facies reservoirs is paramount significance for oil and gas exploration development. Given that seismic materials enjoy an advantage in dense sampling, many methods have been proposed to predict reservoir based on different attributes. Nevertheless, attributes sensitivities reservoirs, informational redundancy between them makes it difficul...

This paper describes the concepts of Strictly Positive Definite, Universal, Integrally C0-Universal for Gaussian kernel on a Hilbert space. As consequence we obtain similar characterization an important family kernels studied and developed by Schoenberg also spatial-time popular in geostatistics, Gneiting class, its generalizations. Either using techniques, or direct spaces, characterize same d...