Publicação
Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms
| Resumo: | A cellular automata (CA) model is characterized by phase transitions that can generate complex patterns through simple transition rules. As such, this technique seems suited to model the complexity of urban systems (Clarke and Gaydos, 1998; Batty, 1995). Unlike most conventional urban models that focus more or less on the spatial patterns of urban growth, cellular automata based urban models usually pay more attention to simulating the dynamic process of urban development and defining the factors or rules driving the development. By applying different transition rules, a model based on cellular automata seeks to explore how the urban system has been developing and how this system changes under certain rules or forces. The central component of a CA model is the transition rules that represent the logic of the process being modelled and, thus, determine the spatial dynamics of the system (White and Engelen, 2000). The transition rules define how changes the state of a cell in response to its current state and the states of its neighbours. This is the key component of CA because these rules represent the process of the system being modelled, and thus are essential to the success of a good modelling practice (White, 1998). For a restricted CA, the transitional rules are uniform and applied synchronously to all cells within the system. However, it has been pointed out a large number of different ways to define the transition rules. |
|---|---|
| Autores principais: | Rocha, Jorge |
| Outros Autores: | Rodrigo, Catarina; Viana, Cláudia M.; Barbosa, Ângela |
| Assunto: | Probabilistic models Prediction, Land use/cover |
| Ano: | 2015 |
| 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_ | 1865920832059998209 |
|---|---|
| author | Rocha, Jorge |
| author2 | Rodrigo, Catarina Viana, Cláudia M. Barbosa, Ângela |
| author2_role | author author author |
| author_facet | Rocha, Jorge Rocha, Jorge Rodrigo, Catarina Viana, Cláudia M. Barbosa, Ângela Rodrigo, Catarina Viana, Cláudia M. Barbosa, Ângela |
| author_role | author |
| contributor_name_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Rocha, Jorge\",\"Person.identifier.orcid\":\"0000-0002-7228-6330\"},{\"Person.name\":\"Rodrigo, Catarina\"},{\"Person.name\":\"Viana, Cláudia M.\",\"Person.identifier.orcid\":\"0000-0001-6858-4522\"},{\"Person.name\":\"Barbosa, Ângela\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| datacite.creators.creator.creatorName.fl_str_mv | Rocha, Jorge Rodrigo, Catarina Viana, Cláudia M. Barbosa, Ângela |
| datacite.date.Accepted.fl_str_mv | 2015-07-13T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-06-02T07:15:20Z |
| datacite.date.embargoed.fl_str_mv | 2023-06-02T07:15:20Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Probabilistic models Prediction, Land use/cover |
| datacite.titles.title.fl_str_mv | Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms |
| dc.contributor.none.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| dc.creator.none.fl_str_mv | Rocha, Jorge Rodrigo, Catarina Viana, Cláudia M. Barbosa, Ângela |
| dc.date.Accepted.fl_str_mv | 2015-07-13T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-06-02T07:15:20Z |
| dc.date.embargoed.fl_str_mv | 2023-06-02T07:15:20Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10451/57837 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | AESOP |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Probabilistic models Prediction, Land use/cover |
| dc.title.fl_str_mv | Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_3248 |
| description | A cellular automata (CA) model is characterized by phase transitions that can generate complex patterns through simple transition rules. As such, this technique seems suited to model the complexity of urban systems (Clarke and Gaydos, 1998; Batty, 1995). Unlike most conventional urban models that focus more or less on the spatial patterns of urban growth, cellular automata based urban models usually pay more attention to simulating the dynamic process of urban development and defining the factors or rules driving the development. By applying different transition rules, a model based on cellular automata seeks to explore how the urban system has been developing and how this system changes under certain rules or forces. The central component of a CA model is the transition rules that represent the logic of the process being modelled and, thus, determine the spatial dynamics of the system (White and Engelen, 2000). The transition rules define how changes the state of a cell in response to its current state and the states of its neighbours. This is the key component of CA because these rules represent the process of the system being modelled, and thus are essential to the success of a good modelling practice (White, 1998). For a restricted CA, the transitional rules are uniform and applied synchronously to all cells within the system. However, it has been pointed out a large number of different ways to define the transition rules. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | bookPart |
| fulltext.url.fl_str_mv | https://repositorio.ulisboa.pt/bitstreams/67f8d5a5-e509-4699-93c6-54e106a31e4c/download |
| id | ul_bec9d3992f4e8cd7bfb2f8a50cc5e42e |
| identifier.url.fl_str_mv | http://hdl.handle.net/10451/57837 |
| 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:10451/57837 |
| organization_str_mv | urn:organizationAcronym:ul |
| person_str_mv | 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 Rodrigo, Catarina Viana, Cláudia M. Viana, Cláudia M. https://www.ciencia-id.pt/0712-B263-3133 0712-B263-3133 http://orcid.org/0000-0001-6858-4522 0000-0001-6858-4522 Barbosa, Ângela |
| publishDate | 2015 |
| publisher.none.fl_str_mv | AESOP |
| reponame_str | Repositório da Universidade de Lisboa |
| repository_id_str | urn:repositoryAcronym:ul |
| service_str_mv | urn:repositoryAcronym:ul |
| spelling | engAESOPpt_PTA cellular automata (CA) model is characterized by phase transitions that can generate complex patterns through simple transition rules. As such, this technique seems suited to model the complexity of urban systems (Clarke and Gaydos, 1998; Batty, 1995). Unlike most conventional urban models that focus more or less on the spatial patterns of urban growth, cellular automata based urban models usually pay more attention to simulating the dynamic process of urban development and defining the factors or rules driving the development. By applying different transition rules, a model based on cellular automata seeks to explore how the urban system has been developing and how this system changes under certain rules or forces. The central component of a CA model is the transition rules that represent the logic of the process being modelled and, thus, determine the spatial dynamics of the system (White and Engelen, 2000). The transition rules define how changes the state of a cell in response to its current state and the states of its neighbours. This is the key component of CA because these rules represent the process of the system being modelled, and thus are essential to the success of a good modelling practice (White, 1998). For a restricted CA, the transitional rules are uniform and applied synchronously to all cells within the system. However, it has been pointed out a large number of different ways to define the transition rules.application/pdfpt_PTPlanning and Land Use/Cover Scenarios: The Role of Probabilistic AlgorithmsPersonalRocha, 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.com56428061000Rodrigo, CatarinaPersonalViana, Cláudia M.DSpacehttp://dspace.org/items/f0bca8f1-525f-49ba-a2ab-c4794d88e2c8DSpacehttp://dspace.org/items/f0bca8f1-525f-49ba-a2ab-c4794d88e2c8M. VianaCláudiaCiência IDhttps://www.ciencia-id.pt0712-B263-3133ORCIDhttp://orcid.org0000-0001-6858-4522Researcher IDhttps://www.researcherid.comA-9352-2019Scopus Author IDhttps://www.scopus.com57200209862Scopus Author IDhttps://www.scopus.com57208061564Barbosa, ÂngelaHostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptISBNIsPartOf978-80-01-05782-72023-06-02T07:15:20Z2015-07-132015-07-13T00:00:00ZHandlehttp://hdl.handle.net/10451/57837http://purl.org/coar/access_right/c_abf2open accessProbabilistic modelsPrediction,Land use/cover1041636 bytesliteraturehttp://purl.org/coar/resource_type/c_3248book parthttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/67f8d5a5-e509-4699-93c6-54e106a31e4c/download29th Annual AESOP28872902Prague, Czech Republic |
| spellingShingle | Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms Rocha, Jorge Probabilistic models Prediction, Land use/cover Rocha, Jorge Probabilistic models Prediction, Land use/cover |
| status | SINGLETON |
| subject.fl_str_mv | Probabilistic models Prediction, Land use/cover |
| title | Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms |
| title_full | Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms |
| title_fullStr | Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms |
| title_full_unstemmed | Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms |
| title_short | Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms |
| title_sort | Planning and Land Use/Cover Scenarios: The Role of Probabilistic Algorithms |
| topic | Probabilistic models Prediction, Land use/cover |
| topic_facet | Probabilistic models Prediction, Land use/cover |
| url | http://hdl.handle.net/10451/57837 |
| visible | 1 |