The FarmBuiLD (Farm Building Landscape Design) research model aims at defining farm building design criteria that can combine improved architectural and landscape quality with functional efficiency. FarmBuiLD moves from the consideration that historic rural buildings are broadly associated with widespread semiologic and aesthetic values. This work focuses on the phase of quantitative physiognomic characterization of historic rural buildings. Such an approach calls for high‐detail, systematic surveys of the main geometric features of buildings, thus often entailing considerable costs, which are also due to the high density of the rural built environment over wide regions in Europe. The general goal of this article is to define and test a repeatable, flexible, and efficient methodology that allows the results of the above‐mentioned dimensional analyses to meet the precision standards of the model. With reference to an Italian study area, we define a stratified random sampling method for historic rural buildings. The stratification was based on the typological classification and location of the buildings. GIS implementation allowed us to calibrate the method and define a pilot sample suitable to carry out the analyses through photogrammetric surveys. The average values of length, width, and height of the sample buildings appeared to be differentiated among the classes identified, and certain significant volumetric arrangements were recognized. The analysis method proved suitable for the physiognomic investigations of historic rural buildings as defined within the FarmBuiLD research model.

S. Benni, D. Torreggiani, E. Carfagna, G. Pollicino, E. Dall'Ara, P. Tassinari (2012). A Methodology for the Analysis of Dimensional Features of Traditional Rural Buildings to Implement the FarmBuiLD Model. TRANSACTIONS OF THE ASABE, 55, 241-248 [10.13031/2013.41251].

A Methodology for the Analysis of Dimensional Features of Traditional Rural Buildings to Implement the FarmBuiLD Model

BENNI, STEFANO;TORREGGIANI, DANIELE;CARFAGNA, ELISABETTA;POLLICINO, GIOVANNI;DALL'ARA, ENRICA;TASSINARI, PATRIZIA
2012

Abstract

The FarmBuiLD (Farm Building Landscape Design) research model aims at defining farm building design criteria that can combine improved architectural and landscape quality with functional efficiency. FarmBuiLD moves from the consideration that historic rural buildings are broadly associated with widespread semiologic and aesthetic values. This work focuses on the phase of quantitative physiognomic characterization of historic rural buildings. Such an approach calls for high‐detail, systematic surveys of the main geometric features of buildings, thus often entailing considerable costs, which are also due to the high density of the rural built environment over wide regions in Europe. The general goal of this article is to define and test a repeatable, flexible, and efficient methodology that allows the results of the above‐mentioned dimensional analyses to meet the precision standards of the model. With reference to an Italian study area, we define a stratified random sampling method for historic rural buildings. The stratification was based on the typological classification and location of the buildings. GIS implementation allowed us to calibrate the method and define a pilot sample suitable to carry out the analyses through photogrammetric surveys. The average values of length, width, and height of the sample buildings appeared to be differentiated among the classes identified, and certain significant volumetric arrangements were recognized. The analysis method proved suitable for the physiognomic investigations of historic rural buildings as defined within the FarmBuiLD research model.
2012
S. Benni, D. Torreggiani, E. Carfagna, G. Pollicino, E. Dall'Ara, P. Tassinari (2012). A Methodology for the Analysis of Dimensional Features of Traditional Rural Buildings to Implement the FarmBuiLD Model. TRANSACTIONS OF THE ASABE, 55, 241-248 [10.13031/2013.41251].
S. Benni; D. Torreggiani; E. Carfagna; G. Pollicino; E. Dall'Ara; P. Tassinari
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/112297
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