Spatial Data Analysis in Ecology and Agriculture Using R
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Published By CRC Press

9781351189910

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Regression Models for Spatially Autocorrelated Data

Spatial Data Analysis in Ecology and Agriculture Using R ◽

10.1201/9781351189910-13 ◽

2018 ◽

pp. 445-466

Author(s):

Richard E. Plant

Keyword(s):

Regression Models ◽

Autocorrelated Data

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Statistical Properties of Spatially Autocorrelated Data

Spatial Data Analysis in Ecology and Agriculture Using R ◽

10.1201/9781351189910-3 ◽

2018 ◽

pp. 67-104

Author(s):

Richard E. Plant

Keyword(s):

Statistical Properties ◽

Autocorrelated Data

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Measures of Bivariate Association between Two Spatial Variables

Spatial Data Analysis in Ecology and Agriculture Using R ◽

10.1201/9781351189910-11 ◽

2018 ◽

pp. 373-411

Author(s):

Richard E. Plant

Keyword(s):

Spatial Variables ◽

Bivariate Association

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Data Exploration Using Non-Spatial Methods: The Linear Model

Spatial Data Analysis in Ecology and Agriculture Using R ◽

10.1201/9781351189910-8 ◽

2018 ◽

pp. 255-305

Author(s):

Richard E. Plant

Keyword(s):

Linear Model ◽

Data Exploration ◽

Spatial Methods

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The R Programming Environment

Spatial Data Analysis in Ecology and Agriculture Using R ◽

10.1201/9781351189910-2 ◽

2018 ◽

pp. 19-65

Author(s):

Richard E. Plant

Keyword(s):

Programming Environment ◽

R Programming

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Analysis of Data from Controlled Experiments

Spatial Data Analysis in Ecology and Agriculture Using R ◽

10.1201/9781351189910-16 ◽

2018 ◽

pp. 553-572

Author(s):

Richard E. Plant

Keyword(s):

Controlled Experiments

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Variance Estimation, the Effective Sample Size, and the Bootstrap

Spatial Data Analysis in Ecology and Agriculture Using R ◽

10.1201/9781351189910-10 ◽

2018 ◽

pp. 347-372

Author(s):

Richard E. Plant

Keyword(s):

Sample Size ◽

Variance Estimation ◽

Effective Sample Size

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Data Exploration Using Non-Spatial Methods: Nonparametric Methods

Spatial Data Analysis in Ecology and Agriculture Using R ◽

10.1201/9781351189910-9 ◽

2018 ◽

pp. 307-346

Author(s):

Richard E. Plant

Keyword(s):

Nonparametric Methods ◽

Data Exploration ◽

Spatial Methods

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Preliminary Exploration of Spatial Data

Spatial Data Analysis in Ecology and Agriculture Using R ◽

10.1201/9781351189910-7 ◽

2018 ◽

pp. 199-253

Author(s):

Richard E. Plant

Keyword(s):

Spatial Data

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Sampling and Data Collection

Spatial Data Analysis in Ecology and Agriculture Using R ◽

10.1201/9781351189910-5 ◽

2018 ◽

pp. 135-165

Author(s):

Richard E. Plant

Keyword(s):

Data Collection

Download Full-text

Spatial Data Analysis in Ecology and Agriculture Using RLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By CRC Press

Regression Models for Spatially Autocorrelated Data

Statistical Properties of Spatially Autocorrelated Data

Measures of Bivariate Association between Two Spatial Variables

Data Exploration Using Non-Spatial Methods: The Linear Model

The R Programming Environment

Analysis of Data from Controlled Experiments

Variance Estimation, the Effective Sample Size, and the Bootstrap

Data Exploration Using Non-Spatial Methods: Nonparametric Methods

Preliminary Exploration of Spatial Data

Sampling and Data Collection

Spatial Data Analysis in Ecology and Agriculture Using R
Latest Publications