Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science

Detalhes bibliográficos
Autor(a) principal: Henriques, Roberto André Pereira
Data de Publicação: 2011
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/5723
Resumo: A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Geographic Information Systems
id RCAP_6b08ef0703e3908db867b20f5eba6325
oai_identifier_str oai:run.unl.pt:10362/5723
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information scienceGeocomputationGeovisualizationNeural NetworksSelf-organizing MapsSpatial ClusteringA thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Geographic Information SystemsThe size and dimensionality of available geospatial repositories increases every day, placing additional pressure on existing analysis tools, as they are expected to extract more knowledge from these databases. Most of these tools were created in a data poor environment and thus rarely address concerns of efficiency, dimensionality and automatic exploration. In addition, traditional statistical techniques present several assumptions that are not realistic in the geospatial data domain. An example of this is the statistical independence between observations required by most classical statistics methods, which conflicts with the well-known spatial dependence that exists in geospatial data. Artificial intelligence and data mining methods constitute an alternative to explore and extract knowledge from geospatial data, which is less assumption dependent. In this thesis, we study the possible adaptation of existing general-purpose data mining tools to geospatial data analysis. The characteristics of geospatial datasets seems to be similar in many ways with other aspatial datasets for which several data mining tools have been used with success in the detection of patterns and relations. It seems, however that GIS-minded analysis and objectives require more than the results provided by these general tools and adaptations to meet the geographical information scientist‟s requirements are needed. Thus, we propose several geospatial applications based on a well-known data mining method, the self-organizing map (SOM), and analyse the adaptations required in each application to fulfil those objectives and needs. Three main fields of GIScience are covered in this thesis: cartographic representation; spatial clustering and knowledge discovery; and location optimization.(...)Bação, Fernando José Ferreira LucasLobo, Victor José de Almeida e SousaRUNHenriques, Roberto André Pereira2011-06-06T13:54:54Z2011-06-062011-06-06T00:00:00Zdoctoral thesisinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10362/5723TID:101208391enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-11T01:37:20Zoai:run.unl.pt:10362/5723Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-11T01:37:20Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science
title Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science
spellingShingle Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science
Henriques, Roberto André Pereira
Geocomputation
Geovisualization
Neural Networks
Self-organizing Maps
Spatial Clustering
title_short Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science
title_full Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science
title_fullStr Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science
title_full_unstemmed Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science
title_sort Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science
author Henriques, Roberto André Pereira
author_facet Henriques, Roberto André Pereira
author_role author
dc.contributor.none.fl_str_mv Bação, Fernando José Ferreira Lucas
Lobo, Victor José de Almeida e Sousa
RUN
dc.contributor.author.fl_str_mv Henriques, Roberto André Pereira
dc.subject.por.fl_str_mv Geocomputation
Geovisualization
Neural Networks
Self-organizing Maps
Spatial Clustering
topic Geocomputation
Geovisualization
Neural Networks
Self-organizing Maps
Spatial Clustering
description A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Geographic Information Systems
publishDate 2011
dc.date.none.fl_str_mv 2011-06-06T13:54:54Z
2011-06-06
2011-06-06T00:00:00Z
dc.type.driver.fl_str_mv doctoral thesis
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/5723
TID:101208391
url http://hdl.handle.net/10362/5723
identifier_str_mv TID:101208391
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
_version_ 1817545460213088256

Registros relacionados