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kajgps: Geodata analysis of tracks; management of placemarks (in .py)

kajgps is an app for managing your geodata, both track files and placemarks.

Logo

(Pronunciation note: "Kaj" rhymes with "rye")

Purpose of kajgps

kajgps is directed at GPS tracker users who wish to

  • manage their existing recorded tracks
  • plan future tracks
  • manage supportive geodata: placemarks and place icons (.svg, .png)

using an Open Source (GPLv3) application that converts geodata between formats such as

  • GPX (for most geodata programs)
  • KML (for Google Earth, Google Maps etc.)
  • HTML (for text based reporting and analysis of geodata)
  • CSV (for entry and editing in spreadsheets and text editors)
  • SVG (for simple vector graphics "maps" with tracks and placemarks, milestones and times, break points - but no "map canvas")
  • json and geojson (limited support, for usage in apps)

Requirements

  • Python: Python 2.7 without add-on packages
    • Works in OS X 10.7+ as such
  • Platform: OS X (but cross platform)
    • Developed first under OS X 10.6, now OS X 10.10
    • Is coded to be cross-platform but currently testing is not done outside OS X
    • Actionable bug reports (preferrably with suggested patches) to make kajgps platform independent will be implemented

User interface

  • kajgps.py has no graphical user interface
  • kajgps.py works with text files in various formats (.csv .gpx etc.)
  • kajgps.py works from the command line (either operating system level or Python command level)

License and copyright

Installation

  1. On GitHub, go to https://github.com/Green-Elk/kajgps
  2. Click on the Download ZIP button in the lower right.
    • You’ll get a zip file called kajgps-master.zip.
  3. Unzip kajgps-master.zip in the directory where you want to keep the source code
    • We recommend Code under your home directory)
    • The unzip process will create Code/kajgps-master as a directory
    • We recommend you to rename to to simply Code/kajgps
  4. Check your installation from the operating system command level
    • kajgps$ python kajgps.py check

Configuration

  1. Read the blog entry "Using kajgps to make sense of your outdoors adventure tracks"
  • which expands upon the very brief elements below
  1. Adapt the core files in ~/Code/kajgps/config to your needs, using a text editor (if needed, in combination with a spreadsheet and kajgps.py itself)
  • ge_places.csv with your placemarks
  • ge_areas.csv with your placemark hierarchy
  • ge_day_metadata.csv with timezones and sports
  • ge_time_metadata.csv with exceptions to ge_day_metadata.csv
  1. If you're using kajgps.py more liberally (in a non-outdoors-sports setting), also adapt the following ~/Code/kajgps/config files
  • ge_activities.csv, the activities of which are sports in the default Green Elk use case
  • ge_placetypes.csv, where the types which relate to sports relevant placemarks
  • ge_forced_breaks.csv, whereby tracks can be split up into segments when a point is passed
  • ge_colors.csv, where activity specific colors are tailored

Running kajgps.py

  • Enter your parameters into ~/Code/kajgps/config/ge_commands.csv (with your favourite text editor)
    • In this comma-separated file, enter parameters, source data files, and destination files in the corresponding columns
  • From the command level of the operating system, run
    • cd ~/Code/kajgps
    • python kajgps.py
  • Repeat as necessary
    • Refine your parameters as needed
    • Re-issue python kajgps.py as needed
    • Review and use the output data (GPX, HTML, SVG, CSV) in the corresponding software (Google Earth, a browser, a spreadsheet) as needed

Further markdown documentation

  • How are activities allocated?
  • How are placemarks entered?
  • (Coding Guidelines for kajgps.py)[md/code_guidelines.md]

Core kajgps.py related blog entries

  • Releasing adventure mapping software
  • Ten basic concepts around GPS adventure tracks
  • How to best track your outdoors adventures
  • Three sources of adventure geodata you already have
  • Using kajgps to make sense of your outdoors adventure tracks

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Geodata analysis of tracks; management of placemarks (in .py)

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