simulated_epidemics

<p>Epidemics were generated using the stochastic simulator from Xu and Madden
(2004). The data consist of the numbers of diseased plants per sampling
unit (out of a total of n = 100 plants in each sampling unit). N = 144
sampling units, and different values for the parameters <code>pattern</code> and
<code>mu</code> were used for the simulations.</p>

datasets

A toolbox to make it easy to analyze plant disease epidemics. It
provides a common framework for plant disease intensity data recorded over
time and/or space. Implemented statistical methods are currently mainly
focused on spatial pattern analysis (e.g., aggregation indices, Taylor and
binary power laws, distribution fitting, SADIE and mapcomp methods). See
Madden LV, Hughes G, van den Bosch F (2007, ISBN: 978-089054-354-2) for
further information on these methods. Several data sets that were mainly
published in plant disease epidemiology literature are also included in this
package.

Christophe Gigot

epiphy

Analysis of Plant Disease Epidemics

simulated_epidemics function

<p>A data frame with 864 rows and 6 variables:</p><table><tr><td>
    [, 1]   </td>
<td> pattern </td>
<td> Either clumped (i.e. aggregated), random or
                              regular. </td>
</tr><tr><td>
    [, 2]   </td>
<td> mu      </td>
<td> Median spore dispersal parameter. </td>
</tr><tr><td>
    [, 3:4] </td>
<td> x,y     </td>
<td> Grid spatial coordinates. </td>
</tr><tr><td>
    [, 5]   </td>
<td> i       </td>
<td> Number of diseased plants (from 0 to 100). </td>
</tr><tr><td>
    [, 6]   </td>
<td> n       </td>
<td> Sampling unit size. Here, n = 100 plants per
                              sampling unit. </td>
</tr></table>

simulated_epidemics: Examples of simulated epidemic data.

Description

Usage

Arguments

Format

[, 1]	pattern	Either clumped (i.e. aggregated), random or regular.
[, 2]	mu	Median spore dispersal parameter.
[, 3:4]	x,y	Grid spatial coordinates.
[, 5]	i	Number of diseased plants (from 0 to 100).
[, 6]	n	Sampling unit size. Here, n = 100 plants per sampling unit.