This open access book provides state-of-the-art theory and application in geostatistics contains peer-reviewed articles of world-leading expert authors

A key problem in environmental monitoring is the spatial interpolation. The main current approach in spatial interpolation is geostatistical. Geostatistics is neither the only nor the best spatial interpolation method. Actually there is no “best” method, universally valid. Choosing a particular method implies to make assumptions. The understanding of initial assumption, of the methods used, and...

In 1962, G. Matheron introduced the term geostatistics to describe a scientific approach to evaluate problems in geology and mining, from ore reserve estimation to grade control. Geostatistics provides statistical methods used to describe spatial relationships among sample data and to apply this analysis to the prediction of spatial and temporal phenomena. They are used to explain spatial patte...

Traditionally phenology studies have been focused on changes through time, but there exist many instances in ecological research where it is necessary to interpolate among spatially stratified samples. The combined use of Geographical Information Systems (GIS) and Geostatistics can be an essential tool for spatial analysis in phenological studies. Geostatistics are a family of statistics that d...

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...