Modifiable temporal unit problem

[1][2] In such cases, choosing a temporal unit (e.g., days, months, years) can affect the analysis results and lead to inconsistencies or errors in statistical hypothesis testing.

[2][4] While the MAUP refers to the choice of spatial enumeration units, the MTUP arises because different temporal units have different properties and characteristics, such as the number of periods they contain or the amount of detail they provide.

In such cases, the choice of the time unit can affect the amount of missing data, which can impact the accuracy of the analysis and forecasting.

[1] Temporal autocorrelation refers to the degree of correlation or similarity between values of a variable at different time points.

In that case, the number of reported crimes may decrease or increase, even if the underlying pattern remains constant.

[8][9] The timeframe chosen for collecting and analyzing public health data is something that needs to be considered by researchers.