Influence of incorporating geometric anisotropy on the construction of thematic maps of simulated data and chemical attributes of soil

The study on spatial variability of soil properties performed through geostatistical techniques allow us to identify the spatial distribution of phenomena by means of a spatial model that considers degree of dependence among observed data, depending on distance and also the direction that separate t...

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Autores principales:	Carvalho Guedes,Luciana Pagliosa, Uribe-Opazo,Miguel Angel, Ribeiro Junior,Paulo Justiniano
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2013
Materias:	Anisotropy factor geostatistics spatial variability
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392013000400013
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spelling	oai:scielo:S0718-583920130004000132018-10-02Influence of incorporating geometric anisotropy on the construction of thematic maps of simulated data and chemical attributes of soilCarvalho Guedes,Luciana PagliosaUribe-Opazo,Miguel AngelRibeiro Junior,Paulo Justiniano Anisotropy factor geostatistics spatial variability The study on spatial variability of soil properties performed through geostatistical techniques allow us to identify the spatial distribution of phenomena by means of a spatial model that considers degree of dependence among observed data, depending on distance and also the direction that separate them, if there is geometric anisotropy, in other words, a directional trend in spatial continuity. However, the main difficulty in decision making regarding the use of anisotropic spatial model focuses on its relevance to the parameters that express the geometric anisotropy in a spatial model exercise in relation to the estimation space. This study aims at identifying the degree of influence of geometric anisotropy on the accuracy of spatial estimation using simulated data sets with different sample sizes and soil chemical properties such as: Fe, potential acidity (H + Al), organic matter and Mn. Comparing the isotropic and anisotropic models, especially for smaller sample sizes (100 and 169) showed an increased sum of squares of differences between predictions anisotropy factor (Fα) equals 2. Furthermore, from Fα equals 2.5, over 50% of the simulations showed values of overall accuracy (OA) of less than 0.80 and values for the concordance index Kappa (K) and Tau (T) from 0.67 to 0.80, indicating differences between thematic maps. Similar conclusions were obtained for chemical properties of the soil, from Fα equals 2, showing that there are relevant differences regarding the inclusion or not of geometric anisotropy.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.73 n.4 20132013-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392013000400013en10.4067/S0718-58392013000400013
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Anisotropy factor geostatistics spatial variability
spellingShingle	Anisotropy factor geostatistics spatial variability Carvalho Guedes,Luciana Pagliosa Uribe-Opazo,Miguel Angel Ribeiro Junior,Paulo Justiniano Influence of incorporating geometric anisotropy on the construction of thematic maps of simulated data and chemical attributes of soil
description	The study on spatial variability of soil properties performed through geostatistical techniques allow us to identify the spatial distribution of phenomena by means of a spatial model that considers degree of dependence among observed data, depending on distance and also the direction that separate them, if there is geometric anisotropy, in other words, a directional trend in spatial continuity. However, the main difficulty in decision making regarding the use of anisotropic spatial model focuses on its relevance to the parameters that express the geometric anisotropy in a spatial model exercise in relation to the estimation space. This study aims at identifying the degree of influence of geometric anisotropy on the accuracy of spatial estimation using simulated data sets with different sample sizes and soil chemical properties such as: Fe, potential acidity (H + Al), organic matter and Mn. Comparing the isotropic and anisotropic models, especially for smaller sample sizes (100 and 169) showed an increased sum of squares of differences between predictions anisotropy factor (Fα) equals 2. Furthermore, from Fα equals 2.5, over 50% of the simulations showed values of overall accuracy (OA) of less than 0.80 and values for the concordance index Kappa (K) and Tau (T) from 0.67 to 0.80, indicating differences between thematic maps. Similar conclusions were obtained for chemical properties of the soil, from Fα equals 2, showing that there are relevant differences regarding the inclusion or not of geometric anisotropy.
author	Carvalho Guedes,Luciana Pagliosa Uribe-Opazo,Miguel Angel Ribeiro Junior,Paulo Justiniano
author_facet	Carvalho Guedes,Luciana Pagliosa Uribe-Opazo,Miguel Angel Ribeiro Junior,Paulo Justiniano
author_sort	Carvalho Guedes,Luciana Pagliosa
title	Influence of incorporating geometric anisotropy on the construction of thematic maps of simulated data and chemical attributes of soil
title_short	Influence of incorporating geometric anisotropy on the construction of thematic maps of simulated data and chemical attributes of soil
title_full	Influence of incorporating geometric anisotropy on the construction of thematic maps of simulated data and chemical attributes of soil
title_fullStr	Influence of incorporating geometric anisotropy on the construction of thematic maps of simulated data and chemical attributes of soil
title_full_unstemmed	Influence of incorporating geometric anisotropy on the construction of thematic maps of simulated data and chemical attributes of soil
title_sort	influence of incorporating geometric anisotropy on the construction of thematic maps of simulated data and chemical attributes of soil
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2013
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392013000400013
work_keys_str_mv	AT carvalhoguedeslucianapagliosa influenceofincorporatinggeometricanisotropyontheconstructionofthematicmapsofsimulateddataandchemicalattributesofsoil AT uribeopazomiguelangel influenceofincorporatinggeometricanisotropyontheconstructionofthematicmapsofsimulateddataandchemicalattributesofsoil AT ribeirojuniorpaulojustiniano influenceofincorporatinggeometricanisotropyontheconstructionofthematicmapsofsimulateddataandchemicalattributesofsoil
_version_	1714205329342857216

Influence of incorporating geometric anisotropy on the construction of thematic maps of simulated data and chemical attributes of soil

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