Analyzing spatial count data, with an application to weed counts

Willem Kruijer; Alfred Stein; Willem Schaafsma; Sanne Heijting

doi:10.1007/s10651-007-0027-y

Analyzing spatial count data, with an application to weed counts

Willem Kruijer, Alfred Stein, Willem Schaafsma, Sanne Heijting

Faculty of Science

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Abstract

Count data on a lattice may arise in observational studies of ecological phenomena. In this paper a hierarchical spatial model is used to analyze weed counts. Anisotropy is introduced, and a bivariate extension of the model is presented.

Original language	English
Pages (from-to)	399-410
Journal	Environmental and Ecological Statistics
Volume	14
Issue number	4
DOIs	https://doi.org/10.1007/s10651-007-0027-y
Publication status	Published - 2007

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title = "Analyzing spatial count data, with an application to weed counts",

abstract = "Count data on a lattice may arise in observational studies of ecological phenomena. In this paper a hierarchical spatial model is used to analyze weed counts. Anisotropy is introduced, and a bivariate extension of the model is presented.",

author = "Willem Kruijer and Alfred Stein and Willem Schaafsma and Sanne Heijting",

year = "2007",

doi = "10.1007/s10651-007-0027-y",

language = "English",

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pages = "399--410",

journal = "Environmental and Ecological Statistics",

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AU - Kruijer, Willem

AU - Stein, Alfred

AU - Schaafsma, Willem

AU - Heijting, Sanne

PY - 2007

Y1 - 2007

N2 - Count data on a lattice may arise in observational studies of ecological phenomena. In this paper a hierarchical spatial model is used to analyze weed counts. Anisotropy is introduced, and a bivariate extension of the model is presented.

AB - Count data on a lattice may arise in observational studies of ecological phenomena. In this paper a hierarchical spatial model is used to analyze weed counts. Anisotropy is introduced, and a bivariate extension of the model is presented.

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DO - 10.1007/s10651-007-0027-y

M3 - Article

SN - 1352-8505

VL - 14

SP - 399

EP - 410

JO - Environmental and Ecological Statistics

JF - Environmental and Ecological Statistics

IS - 4

ER -

Analyzing spatial count data, with an application to weed counts

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