NYburg

A dataset with a residential burglaries in the Borough of Manhattan, New York City, NY for 2019. 
Data include start and end date-times, and coordinates.

datasets

It can sometimes be difficult to ascertain when some events (such as property crime)
occur because the victim is not present when the crime happens. As a result, police databases often
record a 'start' (or 'from') date and time, and an 'end' (or 'to') date and time. The time span between
these date/times can be minutes, hours, or sometimes days, hence the term 'Aoristic'.
Aoristic is one of the past tenses in Greek and represents an uncertain occurrence in time.
For events with a location describes with either a latitude/longitude, or X,Y coordinate pair,
and a start and end date/time, this package generates an aoristic data frame with aoristic weighted
probability values for each hour of the week, for each observation. The coordinates are not
necessary for the program to calculate aoristic weights; however, they are part of this package
because a spatial component has been integral to aoristic analysis from the start. Dummy
coordinates can be introduced if the user only has temporal data. Outputs include an aoristic
data frame, as well as summary graphs and displays.
For more information see:
Ratcliffe, JH (2002) Aoristic signatures and the temporal analysis of high volume crime patterns,
Journal of Quantitative Criminology. 18 (1): 23-43.
Note: This package replaces an original 'aoristic' package (version 0.6) by George Kikuchi that
has been discontinued with his permission.

Jerry Ratcliffe

aoristic

Generates Aoristic Probability Distributions

NYburg function

A data frame with 1233 rows and 6 variables:<dl>
 <dt>CMPLNT_FR_DT</dt>
<dd>Crime from date in Date format</dd> <dt>CMPLNT_FR_TM</dt>
<dd>Crime from time in number format</dd> <dt>CMPLNT_TO_DT</dt>
<dd>Crime to date in Date format</dd> <dt>CMPLNT_TO_TM</dt>
<dd>Crime to time in number format</dd> <dt>X_COORD_CD</dt>
<dd>X coordinate of crime event in state plane format</dd> <dt>Y_COORD_CD</dt>
<dd>Y coordinate of crime event in state plane format</dd>
</dl>

Format

Residential burglaries, Manhattan borough, New York City, NY, 2019 — NYburg

A data frame with 1233 rows and 6 variables:<dl>
 <dt>CMPLNT_FR_DT</dt>
<dd>Crime from date in Date format</dd>

 <dt>CMPLNT_FR_TM</dt>
<dd>Crime from time in number format</dd>

 <dt>CMPLNT_TO_DT</dt>
<dd>Crime to date in Date format</dd>

 <dt>CMPLNT_TO_TM</dt>
<dd>Crime to time in number format</dd>

 <dt>X_COORD_CD</dt>
<dd>X coordinate of crime event in state plane format</dd>

 <dt>Y_COORD_CD</dt>
<dd>Y coordinate of crime event in state plane format</dd>


</dl>

NYburg: Residential burglaries, Manhattan borough, New York City, NY, 2019

Description

Usage

Arguments

Format