{
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  "Package": "aoristic",
  "Type": "Package",
  "Title": "Generates Aoristic Probability Distributions",
  "Version": "1.1.1",
  "Author": "Jerry Ratcliffe",
  "Maintainer": "Jerry Ratcliffe <jhr@temple.edu>",
  "Description": "It can sometimes be difficult to ascertain when some\nevents (such as property crime) occur because the victim is not\npresent when the crime happens. As a result, police databases\noften record a 'start' (or 'from') date and time, and an 'end'\n(or 'to') date and time. The time span between these date/times\ncan be minutes, hours, or sometimes days, hence the term\n'Aoristic'. Aoristic is one of the past tenses in Greek and\nrepresents an uncertain occurrence in time. For events with a\nlocation describes with either a latitude/longitude, or X,Y\ncoordinate pair, and a start and end date/time, this package\ngenerates an aoristic data frame with aoristic weighted\nprobability values for each hour of the week, for each\nobservation. The coordinates are not necessary for the program\nto calculate aoristic weights; however, they are part of this\npackage because a spatial component has been integral to\naoristic analysis from the start. Dummy coordinates can be\nintroduced if the user only has temporal data. Outputs include\nan aoristic data frame, as well as summary graphs and displays.\nFor more information see: Ratcliffe, JH (2002) Aoristic\nsignatures and the temporal analysis of high volume crime\npatterns, Journal of Quantitative Criminology. 18 (1): 23-43.\nNote: This package replaces an original 'aoristic' package\n(version 0.6) by George Kikuchi that has been discontinued with\nhis permission.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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    "author": "Jerry Ratcliffe <jhr@temple.edu>",
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      "date": "2013-09-13"
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      "date": "2014-03-20"
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    "aoristic.df",
    "aoristic.graph",
    "aoristic.map",
    "aoristic.plot",
    "aoristic.ref",
    "aoristic.summary"
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      "title": "Burglaries, Washington DC, first six months of 2016",
      "object": "dcburglaries",
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      ],
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        "X",
        "Y",
        "StartDateTime",
        "EndDateTime"
      ],
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      "table": true,
      "tojson": true
    },
    {
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      "title": "Summary output from aoristic analysis of DC burglaries",
      "object": "dcburgsum",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Range",
        "Mon",
        "Tue",
        "Wed",
        "Thu",
        "Fri",
        "Sat",
        "Sun"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "NYburg",
      "title": "Residential burglaries, Manhattan borough, New York City, NY, 2019",
      "object": "NYburg",
      "class": [
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      ],
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        "CMPLNT_FR_TM",
        "CMPLNT_TO_DT",
        "CMPLNT_TO_TM",
        "X_COORD_CD",
        "Y_COORD_CD"
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      "title": "Check aoristic input data",
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    {
      "page": "aoristic.df",
      "title": "Calculate aoristic weights",
      "topics": [
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    {
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      "title": "Create aoristic distribution chart",
      "topics": [
        "aoristic.graph"
      ]
    },
    {
      "page": "aoristic.map",
      "title": "Plot aoristic probabilities for one hour",
      "topics": [
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    },
    {
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      "title": "Summarize weekly aoristic weights",
      "topics": [
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    {
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      "title": "Hour of the week reference chart",
      "topics": [
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    },
    {
      "page": "aoristic.summary",
      "title": "Summarize weekly aoristic weights",
      "topics": [
        "aoristic.summary"
      ]
    },
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