This paper introduces the geostatistical method. Originally devised to treat problems that arise when conventional statistical theory is used in estimating changes in ore grade within a mine, it is, however, an abstract theory of statistical behaviour that is applicable to many circumstances in different areas of geology and other natural sciences. Using rainfall at Réduit and at Citronelle as examples, the key concepts that are explained are the regionalised variable, the variogram and the kriging procedure. A list of fields where the method has been applied is given. What is common to these different applications is the regionalised variable, function of space/time with some kind of correlation in the spatial distribution of these magnitu...
Abstract. In 1962, G. Matheron introduced the term geostatistics to describe a scientific approach t...
Geostatistics involves the statistical estimation of erratic surfaces, similar to those found in ge...
Geostatistics involves the statistical estimation of erratic surfaces, similar to those found in ge...
The previous paper described the kriging method and its possible applications. This paper checks whe...
Rainfall can be modeled as a spatially correlated random field superimposed on a background mean val...
Rainfall can be modeled as a spatially correlated random field superimposed on a background mean val...
Geostatistics is a popular class of statistical methods for estimating, or predicting, the value of ...
There are numerous methods for data filling in hydrology. Most, however, are based on correlations w...
In this paper we briefly illustrate some exploratory techniques born in the geostatistical framework...
Geostatistics is a scientific field which provides methods for processing spatial data. In our proj...
The emphasis in this research is to evaluate the spatial distribution of the precipitation using a g...
Prepared under support of the Dept. of Energy through M.I.T. Energy Laboratory and the Office of Sur...
Reliable estimation of rainfall distribution in mountainous regions poses a great challenge not only...
This paper discusses the use of robust geostatistical methods on a data set of rainfall measurements...
In a geostatistical analysis, spatial interpolation or smoothing of the observed values is often car...
Abstract. In 1962, G. Matheron introduced the term geostatistics to describe a scientific approach t...
Geostatistics involves the statistical estimation of erratic surfaces, similar to those found in ge...
Geostatistics involves the statistical estimation of erratic surfaces, similar to those found in ge...
The previous paper described the kriging method and its possible applications. This paper checks whe...
Rainfall can be modeled as a spatially correlated random field superimposed on a background mean val...
Rainfall can be modeled as a spatially correlated random field superimposed on a background mean val...
Geostatistics is a popular class of statistical methods for estimating, or predicting, the value of ...
There are numerous methods for data filling in hydrology. Most, however, are based on correlations w...
In this paper we briefly illustrate some exploratory techniques born in the geostatistical framework...
Geostatistics is a scientific field which provides methods for processing spatial data. In our proj...
The emphasis in this research is to evaluate the spatial distribution of the precipitation using a g...
Prepared under support of the Dept. of Energy through M.I.T. Energy Laboratory and the Office of Sur...
Reliable estimation of rainfall distribution in mountainous regions poses a great challenge not only...
This paper discusses the use of robust geostatistical methods on a data set of rainfall measurements...
In a geostatistical analysis, spatial interpolation or smoothing of the observed values is often car...
Abstract. In 1962, G. Matheron introduced the term geostatistics to describe a scientific approach t...
Geostatistics involves the statistical estimation of erratic surfaces, similar to those found in ge...
Geostatistics involves the statistical estimation of erratic surfaces, similar to those found in ge...