Abstract. Geostatistics as a subfield of statistics accounts for the spatial correlations encountered in many applications of, example, earth sciences. Valuable information can be extracted from these correlations, also helping to address often burden data scarcity. Despite value additional data, use geostatistics still falls short its potential. This problem is connected lack user-friendly sof...

Cao et al. (2011a) recently presented a method to implement the Tau model suggested by Journel (2002) for conditional simulation of categorical fields. In this article, a spatial Markov chain (SMC) model proposed by Li (2007a), as stated by them, was compared. Li (2007a) presented the Markov chain random field (MCRF) theory (or ideas) with a case study using a specific MCRF model and further su...

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 ...

Dasymmetric mapping is an areal interpolation method which transfer data from the source zones to the target zones. Although many dasymmetric mapping methods have been developed, few research have been conducted from accuracy assessment perspective. This paper reviews the methods which can be used to serve this purpose. Three methods were experimented: (1) cartographic mapping, (2) summary stat...

[1] Multiple‐point geostatistics is a general statistical framework to model spatial fields displaying a wide range of complex structures. In particular, it allows controlling connectivity patterns that have a critical importance for groundwater flow and transport problems. This approach involves considering data events (spatial arrangements of values) derived from a training image (TI). All da...

permeability is a key parameter in reservoir characterization. in fact, without accurate information about reservoir permeability, there is no good solution for reservoir engineering problems. up to now, permeability values of a reservoir have been calculated through laboratory measurements or well testing methods. these methods are useful but they cannot describe a reservoir reliably and preci...

The estimation of missing observations is an important research field which has practical applications in many science and engineering disciplines. In analyzing the variability of a particular data set which can be spatially related, classical statistical methods make no use of this type of information; whereas geostatistics accomodates the spatial information of the data set in its regression ...