stamp.multichange: run stamp function for multiple years of polygons at once

Description

The function stamp.multichange is a wrapper function that makes multiple calls to the stamp function to ease spatial-temporal analysis of multiple years of polygon data

Usage

stamp.multichange(polys, changeByRow = TRUE, changeField = "", ...)

Value

A sf object which includes all outputs from the calls to the stamp function. If there are T time periods, there will be T-1 time periods in the resulting sf object.

Arguments

polys: a sf polygon object with 2+ years of data to run through the stamp function.
changeByRow: logical, whether or not each time period is a separate unique row of data (e.g., as per the katrina data)
changeField: string, name of the field which contains time period if changeByRow is FALSE
...: list of paramater values to provide to the stamp function

Details

stamp.multichange is a simple wrapper function for the stamp function. The two options for data structure are those in the katrina data, where each time period is a row, and rows are time-ordered, and the structure of the mpb data, where time period is specified by a column. Time periods should be ordered from 1 through T.

Examples

Run this code

if (FALSE) {
## NOT RUN ##
data("katrina")
ch <- stamp.multichange(katrina, changeByRow = TRUE, dc = 0, distance = TRUE, direction = FALSE)
STGroup <- stamp.stgroup.summary(ch)
head(STGroup)
}