Scaling 7.0
Summary
Helps to calculate values for intervals by transforming potentially unscaled interval (e.g. 08:22 – 17:34) into a series of scaled intervals (e., 08:30 – 09:00, 09:00 – 09:30 …)
Introduction  To decide whether such a scaled interval is considered to be a interval caused by the original interval is surprisingly tricky.

Example: Scaling of a table with raw time data
Situation  Raster the time interval 2007/01/01 6:00 to 2007/01/01 14:30 into 1hourintervals 
Operation setting  Choose date columns, scaling and calculation method (other examples see below). 
Result  
TIS Project 
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Settings
Time periods are set in a specific scale (minutes or hours).
Columns of input table
Parameter
Examples
Example 1: Different calculation methods
The time interval 2007/01/01 6:00 to 2006/01/01 14:30 is applied to different calculation methods.
Calculation method  Settings  Result 

See example above: 100% in a 1hour raster if Convert 0 lines? is not selected  
100% in a 1hour raster if Convert 0 lines? is selected  
50% in a 1hour raster no matter if Convert 0 lines? is selected or not 
Example 2: Proportional time*value <> proportional time
The following time interval, value = 27 is rastered with different scaling methods.
Calculation method  Settings  Result 

Proportional time*value  Explanation: Scaling interval = 2 minutes (120 seconds) determines the resulting proportion row 1: half of the interval met, therefore 60/120*27=13.5 rows 2 and 3: interval fully met, therefore 120/120*27=27 row 4: half of the interval met, therefore 60/120*27=13.5  
Proportional time  Explanation: Duration of the period in the whole data set (6 minutes = 360 seconds) determines the resulting proportion row 1: 16:13 – 16:14 = 60 seconds, therefore 60/360*27= 4.5 row 2: 16:14 – 16:16 = 120 seconds, therefore 120/360*27= 9 row 3: 16:16 – 16:18 = 120 seconds, therefore 120/360*27= 9 row 4: 16:18 – 16:19 = 60 seconds, therefore 60/360*27 = 4.5 
Troubleshooting
Problem  Frequent Cause  Solutions 

There are surprisingly high requirement peaks! – How can I check if they are plausible? 
 The following steps can help understand these peaks: 1) Check if the result is due to the scaling method:
2) Check if the peak is due to a few individual values:
3) Check the underlying data.
In case the peaks are really errors, eliminate the faulty data records or time intervals e.g. with TIS:Zeitbereichsfilter (old Wiki) . 
There are only points in time. What shall I do? 
 Use "Calculation" to add e.g. 30 minutes to create a virtual interval and then analyse with >>Count only start time<<. “Normal scaling” would not make sense in this case. 
The calculated staffing level seems incorrect  This may be due to the interval selected.  If in doubt, try using shorter intervals 15 minute scaling can produce strange results for intervals of 10 minutes or less: in case of 50% overlapping e.g.

Related topics
 A detailed description of how to allocate time data along a time raster (time interval) using different calculation methods can be found under Basics: Scaling and time raster
 This operation can be used to determine how many persons were present in certain time intervals.
 Please also refer to the operation Sum and count
 Please execute Link to calendar only after scaling, otherwise two raster intervals will be created per type of calendar day.