kde_int_comp: 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)
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.
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
#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")