Encoded ecologies of the Venetian lagoon

Lomaglio, Matteo

dc.contributor.advisor	Hensel, Michael Ulrich
dc.contributor.advisor	Sørensen, Søren Skjensvold
dc.contributor.author	Lomaglio, Matteo
dc.coverage.spatial	Venezia, Italia	nb_NO
dc.date.accessioned	2017-09-27T08:12:47Z
dc.date.available	2017-09-27T08:12:47Z
dc.date.issued	2017-05
dc.identifier.uri	http://hdl.handle.net/11250/2456956
dc.description	A multi-scalar data-driven computational approach for dynamic environments The project combines ecological and architectural scales approaching design andtransformation of dynamic environments through advanced computational and robotictechnologies. The complexity of the Venetian lagoon ecosystem is encoded into a set of generative data-driven algorithms defining computational methodologies to inform architectural strategies at different scales. This includes selective preservation, modification and transformation of the landscape in a dynamic and ongoing project for the lagoon, thenew local botanical garden and the architectures and technologies that are involved in this complex process. The research aims to initiate a new approach for collaboration between disciplines such diverse and interrelated as geography, ecology, computer science and architecture.	nb_NO
dc.language.iso	eng	nb_NO
dc.publisher	The Oslo School of Architecture and Design	nb_NO
dc.rights	Navngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/deed.no	*
dc.subject	Arkitektur	nb_NO
dc.subject	Architecture	nb_NO
dc.subject	Datamodellering	nb_NO
dc.subject	Data models	eng
dc.subject	Ecology	EN
dc.subject	Økologi	nb_NO
dc.subject	Venezialagunen	nb_NO
dc.subject	Venetian lagoon	EN
dc.title	Encoded ecologies of the Venetian lagoon	nb_NO
dc.type	Master thesis	nb_NO
dc.description.version	submittedVersion	nb_NO
dc.rights.holder	Matteo Lomaglio
dc.subject.nsi	VDP::Humaniora: 000::Arkitektur og design: 140	nb_NO