Abstract. We explore and compare different methods for the spatial clustering of geostatistical data. A new methodology based on the likelihood is proposed and compared to the approach by Allard and Monestiez (1999). Both methods are compared on a heavy metal concentration data set in the Swiss Jura. 1
"In this paper we propose a dynamic clustering algorithm for partitioning a set of geostatistical. f...
International audienceWith the increasing development of remote sensing platforms and the evolution ...
The application of geostatistics to data obtained from geochemical prospecting process can provide u...
International audienceDomaining is very often a complex and time-consuming process in mining assessm...
Researchers have been using clustering algorithms for many years to group similar observations based...
The definition of geostatistical domains is a stage in the estimation of mineral resources, in which...
The detection of spatially contiguous clusters is a relevant task in geostatistics since near locate...
Abstract. In 1962, G. Matheron introduced the term geostatistics to describe a scientific approach t...
In several environmental applications data are functions of time, essentially continuous, observed a...
The particularities of geosystems and geoscience data must be understood before any development or i...
International Geostatistical Congress (10º. 2016. Valencia)The purpose of this work is to present a ...
"In this paper, we consider two clustering strategies in order to explore spatial. relations among f...
Geospatial clustering must be designed in such a way that it takes into account the special features...
Geospatial clustering must be designed in such a way that it takes into account the special features...
The purpose of this work is to present a new methodology for identifying geographical regions within...
"In this paper we propose a dynamic clustering algorithm for partitioning a set of geostatistical. f...
International audienceWith the increasing development of remote sensing platforms and the evolution ...
The application of geostatistics to data obtained from geochemical prospecting process can provide u...
International audienceDomaining is very often a complex and time-consuming process in mining assessm...
Researchers have been using clustering algorithms for many years to group similar observations based...
The definition of geostatistical domains is a stage in the estimation of mineral resources, in which...
The detection of spatially contiguous clusters is a relevant task in geostatistics since near locate...
Abstract. In 1962, G. Matheron introduced the term geostatistics to describe a scientific approach t...
In several environmental applications data are functions of time, essentially continuous, observed a...
The particularities of geosystems and geoscience data must be understood before any development or i...
International Geostatistical Congress (10º. 2016. Valencia)The purpose of this work is to present a ...
"In this paper, we consider two clustering strategies in order to explore spatial. relations among f...
Geospatial clustering must be designed in such a way that it takes into account the special features...
Geospatial clustering must be designed in such a way that it takes into account the special features...
The purpose of this work is to present a new methodology for identifying geographical regions within...
"In this paper we propose a dynamic clustering algorithm for partitioning a set of geostatistical. f...
International audienceWith the increasing development of remote sensing platforms and the evolution ...
The application of geostatistics to data obtained from geochemical prospecting process can provide u...