@InProceedings{FelgueirasMontCamaOrti:2015:ImAcCa,
author = "Felgueiras, Carlos Alberto and Monteiro, Ant{\^o}nio Miguel
Vieira and Camargo, Eduardo Celso Gerbi and Ortiz, Jussara de
Oliveira",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Improving accuracy of categorical attribute modeling with
indicator simulation and soft information",
booktitle = "Proceedings...",
year = "2015",
pages = "25--31",
organization = "International Conference on GeoComputation Geospatial Information
Sciences, 13. (GeoComputation)",
note = "{Setores de Atividade: Pesquisa e desenvolvimento
cient{\'{\i}}fico.}",
keywords = "Geostatistics, Spatial Modeling of Categorical Attributes,
Indicator Simulations, Uncertainty Assesments, Hard and Soft
Data.",
abstract = "The objective of this work is to apply an indicator geostatistical
simulation approach to improve the accuracy of spatial modeling of
categorical attributes using hard and soft information. Sample
points of a categorical attribute are considered as the hard, or
primary, information while a categorical map is used for determine
the soft, or the secondary, information. The soft information is
incorporated in the indicator simulation procedure as prior mean
values, taken from a probability distribution function, related to
the hard data. The prior mean values are then updated via
indicator simulation to account for the hard data available in
their neighborhoods. To illustrate the methodology a case study is
presented with samples of soil texture classes, as the hard data,
and with classes of a soil map defining the soft information.
These data are gathered from an experimental farm of agriculture
researches. The results show that the use of soft information,
along with the hard data, improve the accuracy of the final
products and show regions with higher uncertainties that are
candidates to be sampled or resampled in the future.",
conference-location = "Richardson, Texas",
conference-year = "20-23 May",
label = "lattes: 2916855460918534 1 FelgueirasMontCamaOrti:2015:ImAcCa",
language = "en",
targetfile = "1_felgueiras.pdf",
url = "http://www.geocomputation.org/2015/papers/GC15_06.pdf",
volume = "1",
urlaccessdate = "02 maio 2024"
}