This paper deals with soil classification for semi-detailed mapping (scale 1:25 000) in an area situated in the Emilia Romagna Region (northern Italy). The available data consist of field and laboratory measurements of more than 750 soil samples spaced at various distances. Six variables were considered, namely three grain sizes, pH and two calcium contents. Geostatistical structural analysis of the factors showed nested structures at different scale. Thus it was possible to estimate their spatial components at the sample locations through a simplified version of factorial kriging following cluster analysis. The procedure seems to help to identify criteria for classifying and mapping soils at detailed scale. -from Authors
Multivariate geostatistics for soil classification / Raspa, Giuseppe; Bruno, R.; Dosi, P.; Filippi, N.; Patrizi, G.. - STAMPA. - 2:(1993), pp. 793-804. (Intervento presentato al convegno 4TH INTERNATIONAL GEOSTATICS CONGRESS : TROIA 92 tenutosi a Troia, Portugal nel 13-18 september 1992).
Multivariate geostatistics for soil classification
RASPA, Giuseppe;
1993
Abstract
This paper deals with soil classification for semi-detailed mapping (scale 1:25 000) in an area situated in the Emilia Romagna Region (northern Italy). The available data consist of field and laboratory measurements of more than 750 soil samples spaced at various distances. Six variables were considered, namely three grain sizes, pH and two calcium contents. Geostatistical structural analysis of the factors showed nested structures at different scale. Thus it was possible to estimate their spatial components at the sample locations through a simplified version of factorial kriging following cluster analysis. The procedure seems to help to identify criteria for classifying and mapping soils at detailed scale. -from AuthorsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
