2009
DOI: 10.1590/s0103-90162009000100014
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Abstract: The study of pest distributions in space and time in agricultural systems provides important information for the optimization of integrated pest management programs and for the planning of experiments. Two statistical problems commonly associated to the space-time modelling of data that hinder its implementation are the excess of zero counts and the presence of missing values due to the adopted sampling scheme. These problems are considered in the present article. Data of coffee berry borer infestation collect… Show more

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Cited by 12 publications
(9 citation statements)
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References 32 publications
(24 reference statements)
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“…(Martin et al 2005). A wide range of studies have exploited statistical methods to analyze zeroinflated data, which include, for example, the count of rare species (Cunningham and Lindenmayer 2005), and the distribution of fish eggs and larvae (Fox et al 2000), adult fish (Bi, Ruppel, and Peterson 2007), as well as pests in agricultural systems (Ruiz-Cárdenas, Assunção, and Demétrio 2009). Unfortunately, such data cannot be analyzed by standard statistical distributions (e.g., lognormal, Poisson, etc.)…”
Section: Introductionmentioning
confidence: 99%
“…(Martin et al 2005). A wide range of studies have exploited statistical methods to analyze zeroinflated data, which include, for example, the count of rare species (Cunningham and Lindenmayer 2005), and the distribution of fish eggs and larvae (Fox et al 2000), adult fish (Bi, Ruppel, and Peterson 2007), as well as pests in agricultural systems (Ruiz-Cárdenas, Assunção, and Demétrio 2009). Unfortunately, such data cannot be analyzed by standard statistical distributions (e.g., lognormal, Poisson, etc.)…”
Section: Introductionmentioning
confidence: 99%
“…Amisigo and Giesen (2005) also obtained better results by estimating gaps in daily riverflow series using spatio-temporal modelling. As well as, Franciscon et al (2008) when she modeled the incidence of citrus leprosis using spatio-temporal autologistic model and Ruiz-Cárdenas et al (2009) using the same model to estimate better values when the temporal series is inflated with zeroes and missing values.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, temporal and spatial correlations have to be considered in the analysis. Articles of Ruiz-Cárdenas et al (2009) studying pest distri-butions, Lou and Obradovic, (2011) developing more accurate spatio-temporal predictors, Haworth and Cheng (2012) defining a non-parametric spatio-temporal kernel regression model to forecast the future unit journey time values of road links, Li and Parker (2008) developing a novel method to estimate missing observations in wireless sensor networks, Lau et al (2014) defining a novel approach for diagnosing mis-specifications of a general spatio-temporal transmission model, Franciscon et al (2008) proposing strategies applied to the analysis of citrus leprosis incidence, through the use of spatio temporal autologistic model, have this concern.…”
Section: Introductionmentioning
confidence: 99%
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“…Pola distribusi suatu hama penting untuk diketahui karena diperlukan untuk menetapkan pola pengambilan contoh yang sesuai untuk tujuan optimasi pengelolaan hama terpadu (PHT) serta untuk perencanaan pelaksanaan penelitian (Ruiz-Cardenas et al, 2009). Pola distribusi suatu hama dapat digunakan sebagai penetapan contoh untuk tujuan monitoring dalam rangka menyusun program pengelolaan PHT maupun peramalan eksplosi suatu hama.…”
Section: Distribusi Horizontalunclassified