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gpx_analytics

License: MIT

This code is intended to perform the analysis of Geospatial GPS signals for outdoor movement tracking. Formats supported: GPX, and CSV.

Simple plots:

  • RAW_VELOCITY : Calculated from the Lat-Long measurements

  • FILTERED_PACE : Calculated pace from the Filtered Velocity

  • ELEVATION : Elevation curve provided by measurements

  • HEART_RATE_CURVE : From Measurements

  • HR_PACE_SCATTER : Scatter plot of heart rate and pace

Algorithms and transformations:

  • FILTERED_VELOCITY : Same as raw velocity, but with an LPF smoothing

  • LOG_POWER_SPECTRUM : Full file LPS, reveals periodicity (and hence measurment issues)

  • SPECTROGRAM : Shows temporal view of spectral components of velocity: low changing, medium changing, high changing

  • GAP : Experimental calculation of Grade Adjusted Pace

Formats supported

  • GPX from Strava

  • CSV from Garmin (fit) and Tom Tom

To convert from fit to csv use fitdump.py

Wrapper scripts:

Single file analysis, with analysis pipeline:

source config_me.sh

python3 src/v00.py <gpx.file_to_be_proccessed> "<PIPE_DELIMITED_ANALYSIS_STRING>"

Please choose up to 5 options.

Two windows will open: one with the calculated versus device measurement, and the other with the specified analysis.

Joining 2 files:

'' source config_me.sh

python3 src/v01.py < file_1 > < file_2 > ''

Output (joined file) goes to stdout.

Module

To configure Pytonpath:

source configure_me.sh

Example

python3 v00.py my_file.csv "RAW_VELOCITY|FILTERED_PACE|HR_PACE"

Module and package dependencies: basic Python packages (math, operator, numpy, seaborn, pandas etc.) See all import statements.

Runs on Python 3.

Wiki

See the Wiki in the repo for images:

https://github.com/JuanManuelHuerta/gpx_analytics/wiki