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In this study, we propose a methodological framework to impute missing parts of UAV orthomosaics using PlanetScope (PS) and Sentinel-2 (S2) data and the random forest (RF) algorithm of an integrated c... ...

Repository: BDPA     Publication year: 2023

Valores faltantes em banco de dados é um problema comum e quase inevitável. A imputação múltipla (IM) é ummétodo estatístico eficiente para estimar valores ausentes em um conjunto de dados incompleto.... ...

Repository: BDPA     Publication year: 2020

Modeling by multiple enchained imputation is an area of growing importance. However, its models and methods are frequently developed for specific applications. In this study the model for multiple imp... ...

Repository: BDPA     Publication year: 2017

This study aimed to transform time series of annual data of precipitation of Rio Grande do Sul in homogeneous precipitation regions through clustering techniques (data mining).

Repository: BDPA     Publication year: 2015

Spatial soil data applications require sound geospatial data including coordinates and a coordinate reference system. However, when it comes to legacy soil data we frequently find them to be missing o... ...

Repository: BDPA     Publication year: 2020

Nowadays, organizations are very interested to gather data for strategic decision-making. Data are disposable in operational sources, which are distributed, heterogeneous, and autonomous. These data a... ...

Repository: BDPA     Publication year: 2023

Interval DEA frontiers are here used in situation where one input or output is subject to uncertainty in its measurement and is presented as an interval data. We built an efficient frontier without an... ...

Repository: BDPA     Publication year: 2009

ABSTRACT: This paper proposes an algorithm for analyzing clusters of thematic maps with ordinal categorical classes to support territorial zoning. The proposed method combines the Self-Organizing Map... ...

Repository: BDPA     Publication year: 2023

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