| kde_int_comp {rcrimeanalysis} | R Documentation |
Comparison of KDE Maps Across Specified Time Intervals
Description
This function calculates and compares the kernel density estimate (heat maps) of crime incident locations from two given intervals. The function returns a net difference raster which illustrates net changes between the spatial crime distributions across the specified intervals.
Usage
kde_int_comp(data, start1, end1, start2, end2)
Arguments
data |
Data frame of crime or RMS data. See provided Chicago Data Portal example for reference |
start1 |
Beginning date for the first interval of comparison |
end1 |
Final date for the first interval of comparison |
start2 |
Beginning date for the second interval of comparison |
end2 |
Final date for the second interval of comparison |
Value
Returns a shiny.tag.list object which contains three leaflet widgets: a widget with the calculated KDE from interval 1, a widget with the calculated KDE from interval 2, and a widget with a raster of the net differences between the KDE (heat maps) of each specified interval.
Author(s)
Jamie Spaulding, Keith Morris
Examples
#Using provided dataset from Chicago Data Portal:
data(crimes)
int_out <- kde_int_comp(crimes, start1="1/1/2017", end1="3/1/2017",
start2="1/1/2018", end2="3/1/2018")