PROPOSAL OF THE SPATIAL DEPENDENCE EVALUATION FROM THE POWER SEMIVARIOGRAM MODEL
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Boletim de Ciências Geodésicas |
Texto Completo: | https://revistas.ufpr.br/bcg/article/view/55438 |
Resumo: | In Geostatistics, the use of measurement to describe the spatial dependence of the attribute is of great importance, but only some models (which have second-order stationarity) are considered with such measurement. Thus, this paper aims to propose measurements to assess the degree of spatial dependence in power model adjustment phenomena. From a premise that considers the equivalent sill as the estimated semivariance value that matches the point where the adjusted power model curves intersect, it is possible to build two indexes to evaluate such dependence. The first one, SPD*, is obtained from the relation between the equivalent contribution (α) and the equivalent sill (C* = C0 + α), and varies from 0 to 100% (based on the calculation of spatial dependence areas). The second one, SDI*, beyond the previous relation, considers the equivalent factor of model (FM*), which depends on the exponent β that describes the force of spatial dependence in the power model (based on spatial correlation areas). The SDI*, for β close to 2, assumes its larger scale, varying from 0 to 66.67%. Both indexes have symmetrical distribution, and allow the classification of spatial dependence in weak, moderate and strong. |
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Boletim de Ciências Geodésicas |
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PROPOSAL OF THE SPATIAL DEPENDENCE EVALUATION FROM THE POWER SEMIVARIOGRAM MODELGeociências; GeodésiaGeostatistics; Variographic analysis; Semivariogram without sill; Spatial dependence indexes.In Geostatistics, the use of measurement to describe the spatial dependence of the attribute is of great importance, but only some models (which have second-order stationarity) are considered with such measurement. Thus, this paper aims to propose measurements to assess the degree of spatial dependence in power model adjustment phenomena. From a premise that considers the equivalent sill as the estimated semivariance value that matches the point where the adjusted power model curves intersect, it is possible to build two indexes to evaluate such dependence. The first one, SPD*, is obtained from the relation between the equivalent contribution (α) and the equivalent sill (C* = C0 + α), and varies from 0 to 100% (based on the calculation of spatial dependence areas). The second one, SDI*, beyond the previous relation, considers the equivalent factor of model (FM*), which depends on the exponent β that describes the force of spatial dependence in the power model (based on spatial correlation areas). The SDI*, for β close to 2, assumes its larger scale, varying from 0 to 66.67%. Both indexes have symmetrical distribution, and allow the classification of spatial dependence in weak, moderate and strong.Boletim de Ciências GeodésicasBulletin of Geodetic SciencesBarbosa, Ismael CanabarroAppel Neto, EdemarSeidel, Enio JúniorOliveira, Marcelo Silva de2017-09-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/55438Boletim 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/55438/33555Copyright (c) 2017 Ismael Canabarro Barbosa, Edemar Appel Neto, Enio Júnior Seidel, Marcelo Silva de Oliveirahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2017-09-28T13:28:09Zoai:revistas.ufpr.br:article/55438Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2017-09-28T13:28:09Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false |
dc.title.none.fl_str_mv |
PROPOSAL OF THE SPATIAL DEPENDENCE EVALUATION FROM THE POWER SEMIVARIOGRAM MODEL |
title |
PROPOSAL OF THE SPATIAL DEPENDENCE EVALUATION FROM THE POWER SEMIVARIOGRAM MODEL |
spellingShingle |
PROPOSAL OF THE SPATIAL DEPENDENCE EVALUATION FROM THE POWER SEMIVARIOGRAM MODEL Barbosa, Ismael Canabarro Geociências; Geodésia Geostatistics; Variographic analysis; Semivariogram without sill; Spatial dependence indexes. |
title_short |
PROPOSAL OF THE SPATIAL DEPENDENCE EVALUATION FROM THE POWER SEMIVARIOGRAM MODEL |
title_full |
PROPOSAL OF THE SPATIAL DEPENDENCE EVALUATION FROM THE POWER SEMIVARIOGRAM MODEL |
title_fullStr |
PROPOSAL OF THE SPATIAL DEPENDENCE EVALUATION FROM THE POWER SEMIVARIOGRAM MODEL |
title_full_unstemmed |
PROPOSAL OF THE SPATIAL DEPENDENCE EVALUATION FROM THE POWER SEMIVARIOGRAM MODEL |
title_sort |
PROPOSAL OF THE SPATIAL DEPENDENCE EVALUATION FROM THE POWER SEMIVARIOGRAM MODEL |
author |
Barbosa, Ismael Canabarro |
author_facet |
Barbosa, Ismael Canabarro Appel Neto, Edemar Seidel, Enio Júnior Oliveira, Marcelo Silva de |
author_role |
author |
author2 |
Appel Neto, Edemar Seidel, Enio Júnior Oliveira, Marcelo Silva de |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Barbosa, Ismael Canabarro Appel Neto, Edemar Seidel, Enio Júnior Oliveira, Marcelo Silva de |
dc.subject.por.fl_str_mv |
Geociências; Geodésia Geostatistics; Variographic analysis; Semivariogram without sill; Spatial dependence indexes. |
topic |
Geociências; Geodésia Geostatistics; Variographic analysis; Semivariogram without sill; Spatial dependence indexes. |
description |
In Geostatistics, the use of measurement to describe the spatial dependence of the attribute is of great importance, but only some models (which have second-order stationarity) are considered with such measurement. Thus, this paper aims to propose measurements to assess the degree of spatial dependence in power model adjustment phenomena. From a premise that considers the equivalent sill as the estimated semivariance value that matches the point where the adjusted power model curves intersect, it is possible to build two indexes to evaluate such dependence. The first one, SPD*, is obtained from the relation between the equivalent contribution (α) and the equivalent sill (C* = C0 + α), and varies from 0 to 100% (based on the calculation of spatial dependence areas). The second one, SDI*, beyond the previous relation, considers the equivalent factor of model (FM*), which depends on the exponent β that describes the force of spatial dependence in the power model (based on spatial correlation areas). The SDI*, for β close to 2, assumes its larger scale, varying from 0 to 66.67%. Both indexes have symmetrical distribution, and allow the classification of spatial dependence in weak, moderate and strong. |
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/55438 |
url |
https://revistas.ufpr.br/bcg/article/view/55438 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/bcg/article/view/55438/33555 |
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 |
_version_ |
1799771719431356416 |