The Proportional Effect

Manchuk, John G.; Leuangthong, Oy; Deutsch, Clayton V.

doi:10.1007/s11004-008-9195-z

Cited by 29 publications

(13 citation statements)

References 14 publications

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“…Normality of data distribution can be evaluated using histograms and box-plots or by calculating some coefficient of asymmetry. Skewed variables often show a proportional effect, i.e., a higher variability in high valued areas and a lower variability in low valued areas that distort variogram results (Manchuk et al 2009). Although formally not required, a normal distribution of data improves the autocorrelation analysis and can be achieved with a logarithm transformation.…”

Section: Geostatisticsmentioning

confidence: 99%

Geostatistical tools for the study of insect spatial distribution: practical implications in the integrated management of orchard and vineyard pests

Sciarretta¹,

Trematerra²

2014

Plant Prot. Sci.

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Sciarretta A., Trematerra P. (2014): Geostatistical tools for the study of insect spatial distribution: practical implications in the integrated management of orchard and vineyard pests. Plant Protect. Sci., 50: 97-110.Spatial heterogeneity in agricultural systems is recognised as an important source of variability to be investigated. In the evolution of Integrated Pest Management (IPM), patterns and processes that influence spatio-temporal dynamics in insect populations tend to assume more importance compared to the classical theory. Geostatistics represent a valuable tool to investigate the spatial pattern of insect populations and to support pest control. After an explanation of the geostatistical analysis, in the present paper we provided an overview of practical applications in managing pests, focusing on fruit orchards and vineyards. The utility of geostatistical tools is illustrated with examples taken from field studies, with attention to the analysis of spatial patterns, monitoring schemes, use of traps, scale issues, precision targeting, and risk assessment maps. Potential approaches in the context of IPM are discussed in relation to future perspectives.

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Section: Geostatisticsmentioning

confidence: 99%

Geostatistical tools for the study of insect spatial distribution: practical implications in the integrated management of orchard and vineyard pests

Sciarretta¹,

Trematerra²

2014

Plant Prot. Sci.

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“…This proportionality is typical of attributes that follow positively skewed distributions, such as our coal bed thickness (Fig. 6) (Manchuk et al, 2009).…”

Section: Case Studymentioning

confidence: 73%

Methodology for quantifying uncertainty in coal assessments with an application to a Texas lignite deposit

Olea

Luppens

Tewalt

2011

International Journal of Coal Geology

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“…The strongly skewed, approximately log-normal distribution makes the OK of original data problematic due to the proportional effect (e.g. Manchuk et al, 2009) which results in regionally different variogram sills. The mean variogram may then not capture the regional correlation structure properly.…”

Section: Geostatistical Modellingmentioning

confidence: 99%

First steps towards a European atlas of natural radiation: status of the European indoor radon map

Dubois

Bossew

Tollefsen

et al. 2010

Journal of Environmental Radioactivity

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The Proportional Effect

Cited by 29 publications

References 14 publications

Geostatistical tools for the study of insect spatial distribution: practical implications in the integrated management of orchard and vineyard pests

Geostatistical tools for the study of insect spatial distribution: practical implications in the integrated management of orchard and vineyard pests

Methodology for quantifying uncertainty in coal assessments with an application to a Texas lignite deposit

First steps towards a European atlas of natural radiation: status of the European indoor radon map

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