Abstract: Vineyards vary substantially in the quantity and quality of grapes they produce. The study was undertaken in a commercial “Semidano” vineyard block (0.6 ha) in the municipality of Mogoro (Sardinia isle, Italy) during the vintages of 2008, 2009 and 2010. A total of 106 plants were sampled and georeferenced. To assess the joint spatial and temporal variation of the vine properties, a multivariate geostatistics technique was applied, called factor cokriging, which aims at decomposing the overall variance in a restricted number of regionalised scale-dependent factors. The thematic maps of the vineyard properties and the ones of the factors show a large variability on both space and time. All the measurements of spatial agreement reveal a lack of temporal stability of the variation patterns over the years.
A METHODOLOGY FOR EVALUATING THE TEMPORAL STABILITY OF SPATIAL PATTERNS OF VINEYARD VARIATION / Gambella, Filippo; Dau, R; Paschino, F; Castrignanò, A; De, Benedetto. - 2:(2011). (Intervento presentato al convegno Spatial2 Conference: Spatial Data Methods for Environmental and Ecological Processes, tenutosi a Foggia (IT), nel 1-2 September 2011).
A METHODOLOGY FOR EVALUATING THE TEMPORAL STABILITY OF SPATIAL PATTERNS OF VINEYARD VARIATION
GAMBELLA, Filippo;
2011-01-01
Abstract
Abstract: Vineyards vary substantially in the quantity and quality of grapes they produce. The study was undertaken in a commercial “Semidano” vineyard block (0.6 ha) in the municipality of Mogoro (Sardinia isle, Italy) during the vintages of 2008, 2009 and 2010. A total of 106 plants were sampled and georeferenced. To assess the joint spatial and temporal variation of the vine properties, a multivariate geostatistics technique was applied, called factor cokriging, which aims at decomposing the overall variance in a restricted number of regionalised scale-dependent factors. The thematic maps of the vineyard properties and the ones of the factors show a large variability on both space and time. All the measurements of spatial agreement reveal a lack of temporal stability of the variation patterns over the years.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
