To evaluate the model's performance on real-world data
Research gap analysis derived from 3 mathematics papers in our local library.
The gap
To evaluate the model's performance on real-world data. To explore the potential applications of the model in detail. To extend the model to other types of crime.
Evidence profile
Sourced from the future-work section and stated research gap of the source papers, classified as general, drawn from work published between 1978 and 2026, spanning 2 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Normative Forecacasting: An Application of Stochastic Models to Crime Rates (1980) · International Journal of Comparative and Applied Criminal Justice · doi
Applying the method to other types of crime - Evaluating the effectiveness of the method in different contexts - Developing new methods to improve the accuracy of crime rate forecasting
generalfuture-work sectionevidence 5/5Keywords: applying method other types crime evaluating effectiveness different - Stochastic Models of Crime Rates (1978) · International Journal of Comparative and Applied Criminal Justice · doi
The paper identifies a gap in current research in the development of statistically adequate time series models for crime rates. The paper identifies a need for models that can be used for forecasting and resource assignment in criminal justice planning.
generalstated research gapevidence 5/5Keywords: paper identifies gap current research development statistically adequate - Crime hotspot dynamics in residential burglary models with police response (2026) · arXiv
To evaluate the model's performance on real-world data. To explore the potential applications of the model in detail. To extend the model to other types of crime.
generalfuture-work sectionevidence 5/5Keywords: evaluate model performance real-world data explore potential applications
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