TITLE:
“stppSim”: A Novel Analytical Tool for Creating Synthetic Spatio-Temporal Point Data
AUTHORS:
Monsuru Adepeju
KEYWORDS:
Open-Source, Synthetic Data, Crime, Spatio-Temporal Patterns, Data Privacy
JOURNAL NAME:
Open Journal of Modelling and Simulation,
Vol.11 No.4,
October
12,
2023
ABSTRACT: In crime science, understanding the dynamics and interactions between
crime events is crucial for comprehending the underlying factors that drive
their occurrences. Nonetheless, gaining access to detailed spatiotemporal crime
records from law enforcement faces
significant challenges due to confidentiality concerns. In response to these
challenges, this paper introduces an innovative analytical tool named “stppSim,”
designed to synthesize fine-grained spatiotemporal point records while
safeguarding the privacy of individual locations. By utilizing the open-source
R platform, this tool ensures easy accessibility for researchers, facilitating
download, re-use, and potential advancements in various research domains beyond
crime science.