EngineeringEnvironmental ScienceComputer Science
R. Brumana, S. D. Torre, M. Previtali, L. Barazzetti, L. Cantini, D. Oreni, F. Banfi, F. Banfi
2018.7.24Applied Geomatics
tlooto Summary
This paper tries to make a synthesis of the different lessons learnt in relation to both positive and critical aspects relating HBIM feasibility, sustainability and usefulness to the challenging restoration and preservation field.
Abstract
Abstract is not available.
Citation format
BRUMANA, R., et al. Generative HBIM modelling to embody complexity (LOD, LOG, LOA, LOI): Surveying, preservation, site intervention—the basilica di collemaggio (l’aquila). Applied Geomatics, 2018, 10: 545–567.