Learn how to synchronize timestamps of two Geo Time Series and copy the locations from one to the other.

Imagine that we have a reference series without geolocation (called “reference”) and a second series with geolocalized data (called “dummy”).
We would like to copy the location of datapoints of the second series to the reference series, but there is no timestamps in common.
In fact, I encountered this use case and the Javascript implementation took dozens lines of code. Of course you can do that easily with WarpScript with just (Spoil Alert) a single line of code.
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Random data generation
At first, for this blog post, we will generate random data:
NEWGTS 'reference' RENAME
1 10 <%
'index' STORE
NOW RAND 100 * STU * - TOLONG // timestamp
NaN NaN NaN // lat long elevation
$index TOSTRING // value
ADDVALUE
%> FOR 'reference' STORE
NEWGTS 'dummy' RENAME
1 100 <%
'index' STORE
NOW RAND 100 * STU * - TOLONG // timestamp
48.2 RAND + -4.3 RAND + NaN // lat long elevation
$index // value
ADDVALUE
%> FOR 'dummy' STORE
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The algorithm
The data process consists on:
- Fill the “dummy ” GTS with timestamps coming from the “reference” GTS
- Interpolate values and locations for those new datapoints
- Copy the geolocation from “dummy” to “reference”
$reference $dummy filler.interpolate FILL COPYGEO
That’s all.

To sum up, the full code sample is here: https://snapshot.senx.io/0005a003e8f911c3-0-4-4858676921776908
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