USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATA

Detalhes bibliográficos
Autor(a) principal: Santos, Alex da Silva
Data de Publicação: 2017
Outros Autores: Medeiros, Nilcilene das Graças, Santos, Gérson Rodrigues dos, Lisboa Filho, Jugurta
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Boletim de Ciências Geodésicas
Texto Completo: https://revistas.ufpr.br/bcg/article/view/55429
Resumo: In the area of Geosciences it is intuitive to think of spatial correlation as a phenomenon under study, and Geostatistics has tools to identify and represent the behavior of such dependency. The spatial analysis of the results of an inspection of the quality of a cartographic product is generally not addressed in the standards, which are restricted to descriptive and tabular findings, based on the assumption of the Classical Statistics of independence of observed data. At the Brazilian National Infrastructure of Spatial Data (INDE), various cartographic products should be made available to society, along with their metadata. This paper proposes a methodology for quality inspection based on international standards and on the Cartographic Accuracy Standard (PEC), using geostatistical methods and spatial representation of this benchmarking, through positional quality maps. The method of evaluating the quality of data was applied to Brazil's Continual Cartographic Base, at the scale of 1:250000 - BC250, with a focus on absolute positional accuracy. The quality map generated presented regionalizations of the planimetric error confirmed by the producer team of the referred cartographic base of IBGE. Such information can help users and producers to understand the spatial behavior of cartographic product quality in study.
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spelling USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATAGeociências; GeodésiaGeostatistics, Spatial data quality, Accuracy positional, Visualisation UncertaintyIn the area of Geosciences it is intuitive to think of spatial correlation as a phenomenon under study, and Geostatistics has tools to identify and represent the behavior of such dependency. The spatial analysis of the results of an inspection of the quality of a cartographic product is generally not addressed in the standards, which are restricted to descriptive and tabular findings, based on the assumption of the Classical Statistics of independence of observed data. At the Brazilian National Infrastructure of Spatial Data (INDE), various cartographic products should be made available to society, along with their metadata. This paper proposes a methodology for quality inspection based on international standards and on the Cartographic Accuracy Standard (PEC), using geostatistical methods and spatial representation of this benchmarking, through positional quality maps. The method of evaluating the quality of data was applied to Brazil's Continual Cartographic Base, at the scale of 1:250000 - BC250, with a focus on absolute positional accuracy. The quality map generated presented regionalizations of the planimetric error confirmed by the producer team of the referred cartographic base of IBGE. Such information can help users and producers to understand the spatial behavior of cartographic product quality in study.Boletim de Ciências GeodésicasBulletin of Geodetic SciencesIBGE, CNPq,FAPEMIG,UFVSantos, Alex da SilvaMedeiros, Nilcilene das GraçasSantos, Gérson Rodrigues dosLisboa Filho, Jugurta2017-09-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/55429Boletim de Ciências Geodésicas; Vol 23, No 3 (2017)Bulletin of Geodetic Sciences; Vol 23, No 3 (2017)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/bcg/article/view/55429/33549Copyright (c) 2017 Alex da Silva Santos, Nilcilene das Graças Medeiros, Gérson Rodrigues dos Santos, Jugurta Lisboa Filhohttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2017-09-28T13:27:41Zoai:revistas.ufpr.br:article/55429Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2017-09-28T13:27:41Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATA
title USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATA
spellingShingle USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATA
Santos, Alex da Silva
Geociências; Geodésia
Geostatistics, Spatial data quality, Accuracy positional, Visualisation Uncertainty
title_short USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATA
title_full USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATA
title_fullStr USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATA
title_full_unstemmed USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATA
title_sort USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATA
author Santos, Alex da Silva
author_facet Santos, Alex da Silva
Medeiros, Nilcilene das Graças
Santos, Gérson Rodrigues dos
Lisboa Filho, Jugurta
author_role author
author2 Medeiros, Nilcilene das Graças
Santos, Gérson Rodrigues dos
Lisboa Filho, Jugurta
author2_role author
author
author
dc.contributor.none.fl_str_mv IBGE, CNPq,FAPEMIG,UFV
dc.contributor.author.fl_str_mv Santos, Alex da Silva
Medeiros, Nilcilene das Graças
Santos, Gérson Rodrigues dos
Lisboa Filho, Jugurta
dc.subject.por.fl_str_mv Geociências; Geodésia
Geostatistics, Spatial data quality, Accuracy positional, Visualisation Uncertainty
topic Geociências; Geodésia
Geostatistics, Spatial data quality, Accuracy positional, Visualisation Uncertainty
description In the area of Geosciences it is intuitive to think of spatial correlation as a phenomenon under study, and Geostatistics has tools to identify and represent the behavior of such dependency. The spatial analysis of the results of an inspection of the quality of a cartographic product is generally not addressed in the standards, which are restricted to descriptive and tabular findings, based on the assumption of the Classical Statistics of independence of observed data. At the Brazilian National Infrastructure of Spatial Data (INDE), various cartographic products should be made available to society, along with their metadata. This paper proposes a methodology for quality inspection based on international standards and on the Cartographic Accuracy Standard (PEC), using geostatistical methods and spatial representation of this benchmarking, through positional quality maps. The method of evaluating the quality of data was applied to Brazil's Continual Cartographic Base, at the scale of 1:250000 - BC250, with a focus on absolute positional accuracy. The quality map generated presented regionalizations of the planimetric error confirmed by the producer team of the referred cartographic base of IBGE. Such information can help users and producers to understand the spatial behavior of cartographic product quality in study.
publishDate 2017
dc.date.none.fl_str_mv 2017-09-25
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/bcg/article/view/55429
url https://revistas.ufpr.br/bcg/article/view/55429
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufpr.br/bcg/article/view/55429/33549
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
dc.source.none.fl_str_mv Boletim de Ciências Geodésicas; Vol 23, No 3 (2017)
Bulletin of Geodetic Sciences; Vol 23, No 3 (2017)
1982-2170
1413-4853
reponame:Boletim de Ciências Geodésicas
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Boletim de Ciências Geodésicas
collection Boletim de Ciências Geodésicas
repository.name.fl_str_mv Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br
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