Package: aoristic 1.1.1
aoristic: Generates Aoristic Probability Distributions
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.
Authors:
aoristic_1.1.1.tar.gz
aoristic_1.1.1.zip(r-4.5)aoristic_1.1.1.zip(r-4.4)aoristic_1.1.1.zip(r-4.3)
aoristic_1.1.1.tgz(r-4.4-any)aoristic_1.1.1.tgz(r-4.3-any)
aoristic_1.1.1.tar.gz(r-4.5-noble)aoristic_1.1.1.tar.gz(r-4.4-noble)
aoristic_1.1.1.tgz(r-4.4-emscripten)aoristic_1.1.1.tgz(r-4.3-emscripten)
aoristic.pdf |aoristic.html✨
aoristic/json (API)
# Install 'aoristic' in R: |
install.packages('aoristic', repos = c('https://jerryratcliffe.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jerryratcliffe/aoristic/issues
- NYburg - Residential burglaries, Manhattan borough, New York City, NY, 2019
- dcburglaries - Burglaries, Washington DC, first six months of 2016
- dcburgsum - Summary output from aoristic analysis of DC burglaries
Last updated 2 years agofrom:95ee72f7ea. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | OK | Nov 08 2024 |
R-4.5-linux | OK | Nov 08 2024 |
R-4.4-win | OK | Nov 08 2024 |
R-4.4-mac | OK | Nov 08 2024 |
R-4.3-win | OK | Nov 08 2024 |
R-4.3-mac | OK | Nov 08 2024 |
Exports:aoristic.datacheckaoristic.dfaoristic.graphaoristic.mapaoristic.plotaoristic.refaoristic.summary
Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmeopenxlsxpillarpkgconfigplyrpurrrR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithrzip
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Check aoristic input data | aoristic.datacheck |
Calculate aoristic weights | aoristic.df |
Create aoristic distribution chart | aoristic.graph |
Plot aoristic probabilities for one hour | aoristic.map |
Summarize weekly aoristic weights | aoristic.plot |
Hour of the week reference chart | aoristic.ref |
Summarize weekly aoristic weights | aoristic.summary |
Burglaries, Washington DC, first six months of 2016 | dcburglaries |
Summary output from aoristic analysis of DC burglaries | dcburgsum |
Residential burglaries, Manhattan borough, New York City, NY, 2019 | NYburg |