This paper deals with the application of cluster analysis to the physicochemical characteristics of ground waters. Three examples of such methodology are presented, carried out at two different levels: spatial evolution and time variation. All the cases studied show the utility of clustering technique as a valuable tool in description on this kind of data.Se comentan tres ejemplos de aplicación del análisis cluster referidos a características físico-químicas de aguas subterráneas, dos de evolución espacial y uno temporal, Todos los ejemplos analizados ponen de manifiesto la utilidad de esta herramienta en la descripción de los datos
Starting from well-known model-based clustering models equivalent formulations for some special mode...
The aim of this work was to test a methodology able to generate spatial-temporal maps that can synth...
Water quality indicators are important to identify risks to the environment, society and human healt...
Groundwater wells are one of the most important water resources in the world. Control and management...
Understanding the spatial variations in groundwater chemistry is fundamental to assess the groundwat...
The application of advanced computational resources in the support of environmental management syste...
1 Cluster Analysis has numerous scientific and practical applications. This paper presents a compute...
Application of multivariate methodologies for the evaluation and interpretation of space-time variat...
Often environmental scientists face the problem of clustering different sites, areas or stations in ...
Clustering technique has received attention in many areas including engineering, medicine, biology a...
Cluster analysis, which is to partition a dataset into groups so that similar elements are assigned ...
The development of statistical methodologies based on spatial and temporal hydrological data is a ve...
Abstract. Microbialites are a product of trapping and binding of sediment by microbial communities, ...
During the last two decades spatial and temporal metal and nutrient variations have been extensively...
Microbialites are a product of trapping and binding of sediment by microbial communities, and are co...
Starting from well-known model-based clustering models equivalent formulations for some special mode...
The aim of this work was to test a methodology able to generate spatial-temporal maps that can synth...
Water quality indicators are important to identify risks to the environment, society and human healt...
Groundwater wells are one of the most important water resources in the world. Control and management...
Understanding the spatial variations in groundwater chemistry is fundamental to assess the groundwat...
The application of advanced computational resources in the support of environmental management syste...
1 Cluster Analysis has numerous scientific and practical applications. This paper presents a compute...
Application of multivariate methodologies for the evaluation and interpretation of space-time variat...
Often environmental scientists face the problem of clustering different sites, areas or stations in ...
Clustering technique has received attention in many areas including engineering, medicine, biology a...
Cluster analysis, which is to partition a dataset into groups so that similar elements are assigned ...
The development of statistical methodologies based on spatial and temporal hydrological data is a ve...
Abstract. Microbialites are a product of trapping and binding of sediment by microbial communities, ...
During the last two decades spatial and temporal metal and nutrient variations have been extensively...
Microbialites are a product of trapping and binding of sediment by microbial communities, and are co...
Starting from well-known model-based clustering models equivalent formulations for some special mode...
The aim of this work was to test a methodology able to generate spatial-temporal maps that can synth...
Water quality indicators are important to identify risks to the environment, society and human healt...