prediction of annual average precipitation over a regin is one of important issues in watersherd management and natural resources planning. geostatistics is one of the useful methods for precipitation prediction which varies based on type of the variable. this study was conducted in karoon and dez basins located in southwertern of iran. the data set including 20 years of annual precipitation of...

Ecological processes act upon landscapes over a wide range of temporal and spatial extents. These processes interact to create complex and ever-changing landscape patterns. While remote sensing data (e.g. AVHRR, TM) has often been used to characterize such heterogeneity at the landscape scale, these sensors cannot resolve spatial pattern to the detail required for finer scale analyses, such as ...

This paper reviews a number of conceptual issues pertaining to the implementation of an explicit “spatial” perspective in applied econometrics. It provides an overview of the motivation for including spatial effects in regression models, both from a theory-driven as well as from a data-driven perspective. Considerable attention is paid to the inferential framework necessary to carry out estimat...

This document presents an extract of an upcoming book written by Nicolas Remy, Alexandre Boucher and Jianbing Wu. The book has 10 chapters detailing how to use the SGeMS software. SGeMS is a software for 3D geostatistical modeling. It implements many of the classical geostatistics algorithms, as well as new developments related to multiple-point geostatistics. The software is open source and fr...

Sharpening filters are used to highlight fine image details, including object edges. However, sharpening very specific different types of images as they may create undesired edge effects, over-highlight or emphasize noise. Laplacian, Laplacian Gaussian, high-boost, unsharp masking filters, and their extended algorithms among most widely spatial filters. This paper introduces a method that integ...