This paper follows a geostatistical approach for the evaluation, modelling and visualization of the possible local interactions between natural components and built-up elements in seismic risk analysis. This method, applied to old town centre of Potenza hilltop town, offers a new point of view for civil protection planning using kernel density and autocorrelation indexes maps to analyse macrose...

This paper discusses advantages and shortcomings of the S environment for multivariable geostatistics, in particular when extended with the gstat package, an extension package for the S environments (R, S-Plus). The gstat S package provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions. In particular, it makes the calculation, simu...

Find the secret to improve the quality of life by reading this geostatistics for engineers and earth scientists. This is a kind of book that you need now. Besides, it can be your favorite book to read after having this book. Do you ask why? Well, this is a book that has different characteristic with others. You may not need to know who the author is, how well-known the work is. As wise word, ne...

Using Geostatistics Mohan R. Akella, Eric Delmelle, Rajan Batta, Peter Rogerson Alan Blatt Strategy and Operations, Deloitte Consulting India Pvt. Ltd., Hyderabad, India, Department of Geography and Earth Sciences, Center for Applied Geographic Information Systems (CAGIS), University of North Carolina—Charlotte, Charlotte, NC, Department of Industrial and Systems Engineering, University at Buff...

The present work deals with two challenging problems of applied geostatistics: (i) Stationarity assumptions often do not hold under real-world conditions. (ii) Geostatistical methods have to be linked with spatial databases in order to be applicable in non-stationary situations. Solutions for both problems are proposed and implemented. (i) A central assumption in geostatistics is the stationari...

1 Abstract Very large spatially-referenced datasets, for example, those derived from satellite-based sensors which sample across the globe or large monitoring networks of individual sensors, are becoming increasingly common and more widely available for use in environmental decision making. In large or dense sensor networks, huge quantities of data can be collected over small time periods. In m...

With improved data acquisition methods, the amount of data that is being collected has increased several fold. One of the objectives in data collection is to learn useful underlying patterns. In order to work with data at this scale, the methods not only need to be effective with the underlying data, but also have to be scalable to handle larger data collections. My research focused on developi...

the common pistachio psylla agonoscena pistaciae is a key pest of pistachio in iran. a study was conducted to determine the spatial distribution ofpsyllanymphs and eggs in a 10 ha pistachio orchard in the rafsanjan region, southeast of iran. three rows, each containing 33 trees (totally 99 trees), were randomly selected in the orchard based on a stratified sampling scheme. in each of the select...