Publicação
A bottom up approach to the modelling of costal and land use evolution throught GIS
| Resumo: | Coastal areas stand in the intersection of human and physical factors, some of them interacting in a non linear fashion and presenting feedbacks, which typically are characteristics of complex systems. This kind of systems are very difficult to model in a top-down approach, due to the high number of variables in question and the nature of relations between them. The spatial dimension itself, also introduces some complexity which is difficult to capture in a deterministic approach. In this study, we propose a bottom-up approach for modelling the coastline evolution, integrating land use cover. The system is based in a probabilistic Cellular Automata (CA) model, which divides the study area in a grid. The hermetic structure of CA is overcomed by using transition rules whose weights have been calibrated by a Artificial Neural Network (ANN). In this way, the knowledge of past events is incorporated into the model and projected into the future, by means of using ”intelligence”; this contrasts with techniques such as linear regression, whose efficacy in the case study was evaluated to be much inferior. Finally, is important to mention that the use of a Geographical information Systems (GIS) environment, enabled to assemble together different types of data and overlap them in an efficient way, which would be very hard or impossible to do otherwise; therefore, we believe that the use of GIS is crucial in spatial based simulations. The case study for this model was an area of the Municipality of Almada (Portugal) that has an extensive coastal line, both Atlantic and estuary. The modelling of spatially dynamic and naturally complex phenomena occurring in these coastal areas, is important for the definition of an innovative strategy for their physical planning and also their environmental management. |
|---|---|
| Autores principais: | Simões, Joana |
| Outros Autores: | Rocha, Jorge; Ferreira, José Carlos; Tenedório, José António; Morgado, Paulo |
| Assunto: | GIS Artificial Neural Networks Planning Cellular Automata Coastal Areas |
| Ano: | 2009 |
| País: | Portugal |
| Tipo de documento: | capítulo de livro |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| _version_ | 1865920847848407040 |
|---|---|
| author | Simões, Joana |
| author2 | Rocha, Jorge Ferreira, José Carlos Tenedório, José António Morgado, Paulo |
| author2_role | author author author author |
| author_facet | Simões, Joana Simões, Joana Rocha, Jorge Ferreira, José Carlos Tenedório, José António Morgado, Paulo Rocha, Jorge Ferreira, José Carlos Tenedório, José António Morgado, Paulo |
| author_role | author |
| contributor_name_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Simões, Joana\"},{\"Person.name\":\"Rocha, Jorge\",\"Person.identifier.orcid\":\"0000-0002-7228-6330\"},{\"Person.name\":\"Ferreira, José Carlos\"},{\"Person.name\":\"Tenedório, José António\"},{\"Person.name\":\"Morgado, Paulo\",\"Person.identifier.orcid\":\"0000-0002-3220-4943\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| datacite.creators.creator.creatorName.fl_str_mv | Simões, Joana Rocha, Jorge Ferreira, José Carlos Tenedório, José António Morgado, Paulo |
| datacite.date.Accepted.fl_str_mv | 2009-09-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-06-02T07:42:12Z |
| datacite.date.embargoed.fl_str_mv | 2023-06-02T07:42:12Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | GIS Artificial Neural Networks Planning Cellular Automata Coastal Areas |
| datacite.titles.title.fl_str_mv | A bottom up approach to the modelling of costal and land use evolution throught GIS |
| dc.contributor.none.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| dc.creator.none.fl_str_mv | Simões, Joana Rocha, Jorge Ferreira, José Carlos Tenedório, José António Morgado, Paulo |
| dc.date.Accepted.fl_str_mv | 2009-09-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-06-02T07:42:12Z |
| dc.date.embargoed.fl_str_mv | 2023-06-02T07:42:12Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10451/57840 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | CoastGIS 2009 |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | GIS Artificial Neural Networks Planning Cellular Automata Coastal Areas |
| dc.title.fl_str_mv | A bottom up approach to the modelling of costal and land use evolution throught GIS |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_3248 |
| description | Coastal areas stand in the intersection of human and physical factors, some of them interacting in a non linear fashion and presenting feedbacks, which typically are characteristics of complex systems. This kind of systems are very difficult to model in a top-down approach, due to the high number of variables in question and the nature of relations between them. The spatial dimension itself, also introduces some complexity which is difficult to capture in a deterministic approach. In this study, we propose a bottom-up approach for modelling the coastline evolution, integrating land use cover. The system is based in a probabilistic Cellular Automata (CA) model, which divides the study area in a grid. The hermetic structure of CA is overcomed by using transition rules whose weights have been calibrated by a Artificial Neural Network (ANN). In this way, the knowledge of past events is incorporated into the model and projected into the future, by means of using ”intelligence”; this contrasts with techniques such as linear regression, whose efficacy in the case study was evaluated to be much inferior. Finally, is important to mention that the use of a Geographical information Systems (GIS) environment, enabled to assemble together different types of data and overlap them in an efficient way, which would be very hard or impossible to do otherwise; therefore, we believe that the use of GIS is crucial in spatial based simulations. The case study for this model was an area of the Municipality of Almada (Portugal) that has an extensive coastal line, both Atlantic and estuary. The modelling of spatially dynamic and naturally complex phenomena occurring in these coastal areas, is important for the definition of an innovative strategy for their physical planning and also their environmental management. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | bookPart |
| fulltext.url.fl_str_mv | https://repositorio.ulisboa.pt/bitstreams/11086a35-0d73-4cfd-97f5-ed976612cc9d/download |
| id | ul_e6fde60c331a30dac4c08e829e9dfe2b |
| identifier.url.fl_str_mv | http://hdl.handle.net/10451/57840 |
| instacron_str | ul |
| institution | Universidade de Lisboa |
| instname_str | Universidade de Lisboa |
| language | eng |
| network_acronym_str | ul |
| network_name_str | Repositório da Universidade de Lisboa |
| oai_identifier_str | oai:repositorio.ulisboa.pt:10451/57840 |
| organization_str_mv | urn:organizationAcronym:ul |
| person_str_mv | Simões, Joana Rocha, Jorge Rocha, Jorge https://www.ciencia-id.pt/EC15-76DC-9B96 EC15-76DC-9B96 http://orcid.org/0000-0002-7228-6330 0000-0002-7228-6330 Ferreira, José Carlos Tenedório, José António Morgado, Paulo Morgado, Paulo https://www.ciencia-id.pt/6510-4FB9-6261 6510-4FB9-6261 http://orcid.org/0000-0002-3220-4943 0000-0002-3220-4943 |
| publishDate | 2009 |
| publisher.none.fl_str_mv | CoastGIS 2009 |
| reponame_str | Repositório da Universidade de Lisboa |
| repository_id_str | urn:repositoryAcronym:ul |
| service_str_mv | urn:repositoryAcronym:ul |
| spelling | engCoastGIS 2009pt_PTCoastal areas stand in the intersection of human and physical factors, some of them interacting in a non linear fashion and presenting feedbacks, which typically are characteristics of complex systems. This kind of systems are very difficult to model in a top-down approach, due to the high number of variables in question and the nature of relations between them. The spatial dimension itself, also introduces some complexity which is difficult to capture in a deterministic approach. In this study, we propose a bottom-up approach for modelling the coastline evolution, integrating land use cover. The system is based in a probabilistic Cellular Automata (CA) model, which divides the study area in a grid. The hermetic structure of CA is overcomed by using transition rules whose weights have been calibrated by a Artificial Neural Network (ANN). In this way, the knowledge of past events is incorporated into the model and projected into the future, by means of using ”intelligence”; this contrasts with techniques such as linear regression, whose efficacy in the case study was evaluated to be much inferior. Finally, is important to mention that the use of a Geographical information Systems (GIS) environment, enabled to assemble together different types of data and overlap them in an efficient way, which would be very hard or impossible to do otherwise; therefore, we believe that the use of GIS is crucial in spatial based simulations. The case study for this model was an area of the Municipality of Almada (Portugal) that has an extensive coastal line, both Atlantic and estuary. The modelling of spatially dynamic and naturally complex phenomena occurring in these coastal areas, is important for the definition of an innovative strategy for their physical planning and also their environmental management.application/pdfpt_PTA bottom up approach to the modelling of costal and land use evolution throught GISSimões, JoanaPersonalRocha, JorgeDSpacehttp://dspace.org/items/9c7dabc1-d6c6-4636-9293-6babe2ba64c9DSpacehttp://dspace.org/items/9c7dabc1-d6c6-4636-9293-6babe2ba64c9RochaJorgeCiência IDhttps://www.ciencia-id.ptEC15-76DC-9B96ORCIDhttp://orcid.org0000-0002-7228-6330Researcher IDhttps://www.researcherid.comF-3185-2017Researcher IDhttps://www.researcherid.comF-3185-2017Scopus Author IDhttps://www.scopus.com56428061000Ferreira, José CarlosTenedório, José AntónioPersonalMorgado, PauloDSpacehttp://dspace.org/items/12d81dbb-2bdd-4de0-bb04-7118e50cee36DSpacehttp://dspace.org/items/12d81dbb-2bdd-4de0-bb04-7118e50cee36MorgadoPauloCiência IDhttps://www.ciencia-id.pt6510-4FB9-6261ORCIDhttp://orcid.org0000-0002-3220-4943Researcher IDhttps://www.researcherid.comJ-9673-2012Scopus Author IDhttps://www.scopus.com36741880600HostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.pt2023-06-02T07:42:12Z2009-092009-09-01T00:00:00ZHandlehttp://hdl.handle.net/10451/57840http://purl.org/coar/access_right/c_abf2open accessGISArtificial Neural NetworksPlanningCellular AutomataCoastal Areas3469940 bytesliteraturehttp://purl.org/coar/resource_type/c_3248book parthttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/11086a35-0d73-4cfd-97f5-ed976612cc9d/download9th International Symposium on GIS and Computer Mapping for Coastal Management112Santa Catarina, Brazil |
| spellingShingle | A bottom up approach to the modelling of costal and land use evolution throught GIS A bottom up approach to the modelling of costal and land use evolution throught GIS Simões, Joana GIS Artificial Neural Networks Planning Cellular Automata Coastal Areas Simões, Joana GIS Artificial Neural Networks Planning Cellular Automata Coastal Areas |
| status | SINGLETON |
| subject.fl_str_mv | GIS Artificial Neural Networks Planning Cellular Automata Coastal Areas |
| title | A bottom up approach to the modelling of costal and land use evolution throught GIS |
| title_full | A bottom up approach to the modelling of costal and land use evolution throught GIS |
| title_fullStr | A bottom up approach to the modelling of costal and land use evolution throught GIS A bottom up approach to the modelling of costal and land use evolution throught GIS |
| title_full_unstemmed | A bottom up approach to the modelling of costal and land use evolution throught GIS A bottom up approach to the modelling of costal and land use evolution throught GIS |
| title_short | A bottom up approach to the modelling of costal and land use evolution throught GIS |
| title_sort | A bottom up approach to the modelling of costal and land use evolution throught GIS |
| topic | GIS Artificial Neural Networks Planning Cellular Automata Coastal Areas |
| topic_facet | GIS Artificial Neural Networks Planning Cellular Automata Coastal Areas |
| url | http://hdl.handle.net/10451/57840 |
| visible | 1 |