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Map
For More about Changing the Display Click Here
For More about Interacting with the Display Click Here
The search parameters and currently selected metric are shown on the top of the page. On the right is a button to return the user to the original edit query form.
The map displays each station with a single value. A value is calculated for each channel for the selected metric over the time range, using the method chosen in the 'Channel Value Across Timespan' dropdown menu. There are two choices for displaying the map value. The first choice is 'Display single channel'. If this is selected, MUSTANGular will choose the value of the first channel that has data, in order of the channel prioritization list. The priority can be configured by clicking the 'Display single channel' box and rearranging the channels. The second choice, only available if the dataset has co-located channels, is 'Aggregate Co-located channels'. This option takes the values for the co-located channels at each station, and then selects the minimum, maximum, or most extreme value across the channels. More about channel selection.
In order to color the stations, all of the values are separated into bins. By default, the value is the average of the data for a station over time. The default binning varies by data type.
For most data, MUSTANGular defaults to the 5th percentile for the minimum binning value, the 95th percentile for the maximum, and 3 bins of even width. The binning range is inclusive on the lower end and inclusive on the upper end. Values greater than the max value or less than the min value are considered outliers. The "Reset" button can be used to return the bin values to the default values for the metric.
For example:
Low outliers: < 2.00
Bin 1: 2.00 - < 150.00
Bin 2: 150.00 - < 290.00
Bin 3: 290 - < 436.00
High outliers: > 436.00
For boolean metrics, the default behavior is 2 bins with min = 0 and max = 1:
Low outliers: < 0.00
Bin 1: 0.00 - < 0.50
Bin 2: 0.50 - 1.00
High outliers: > 1.00
For percentage metrics, the default behavior is 5 bins with min = 0 and max = 100:
Low outliers: < 0.00
Bin 1: 0.00 - < 20.00
Bin 2: 20.00 - < 40.00
Bin 3: 40.00 - < 60.00
Bin 4: 60.00 - < 80.00
Bin 5: 80.00 - 100.00
High outliers: > 100.00
For polarity metrics, the default behavior is 2 bins with min = -1 and max = 1:
Low outliers: < -1.00
Bin 1: -1.00 - < 0.00
Bin 2: 0.00 - 1.00
High outliers: > 1.00