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df-aggregator
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Cycle Analytics
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Oleksandr Barabash
df-aggregator
Commits
896d4f7f
Commit
896d4f7f
authored
Nov 01, 2020
by
Corey Koval
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# DF Aggregator
Usage: df-aggregator.py
[
options
]
### Required inputs:
-
-g FILE, --geofile=FILE
-
GeoJSON Output File
-
Conventional file extension: .geojson
-
-r FILE, --receivers=FILE
-
List of receiver URLs
-
Do not include quotes. Each receiver should be on a new line.
-
-d FILE, --database=FILE
-
Name of new or existing database to store intersect information.
-
Post processing math is done against the entire database.
### Optional Inputs:
-
-e Number, --epsilon=Number
-
Max Clustering Distance, Default 0.2.
-
0 to disable clustering.
-
Point spread across a larger geographoical area should require a smaller value.
-
Clustering should be disabled for moving targets.
-
-c Number, --confidence=Number
-
Minimum confidence value, default 10
-
Do not computer intersects for LOBs less than this value.
-
-p Number, --power=Number
-
Minimum power value, default 10
-
Do not computer intersects for LOBs less than this value.
-
-m Number, --min-samples=Number
-
Minimum samples per cluster. Default 20
-
A higher value can yeild more accurate results, but requires more data.
-
--dist-from-reference=Number
-
The default is 500 km.
-
When there are more than two receivers, the intersect with the strongest average signal
is marked as a reference point.
-
Any intersections that exceed the specified distance from the reference are thrown out.
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