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In applying equation 1, the deviation (difference) of each data value from the sample mean is computed and squared.
An extensive quantitative review of the Project 911 database uses statistical quality control (SQC) techniques, where individual data points are compared to the highest rated data value from the qualitative review.
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The keys are unique to identify and request the data values from the collections.
In Figure 3, the data values from these two periods are shown in different colors.
The retrieval of data values from a spatial database involves searching through the huge repository of data, involving huge cost.
Geostatistical analysis comprise a group of spatial statistical techniques that evaluate the autocorrelation commonly observed in geospatial data, where the data values from locations close to each other are more symmetry than the data values from locations far apart.
After that, the AQP technique removes the out-of-date data values from the profile window (line 25).
These numbers reside in a memory as filter coefficients and are used with the sampled data values from the analog-to-digital conversion to perform the filter calculations.
Typically, values measured at the training samples are linked with data values from geospatial datasets at the locations where they intersect.
Fig. 25 Screenshot of the Reggio Emilia intranet application "Energy Geoviewer" (CO2 emission simulation, based on actual energy consumption data – values from 2014) Fig. 26 Screenshot of Reggio Emilia intranet application "Energy Geoviewer" (CO2 emission estimation, based on actual energy consumption data – values from 2014).
The reason for this is apparent from information in Fig. 2 which shows the actual second-phase sample target and auxiliary variable data values from two example simulations from that population.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com