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./glot.py [-f <filter>] -o <output>[:output-options] input1 ... > output

• svg-map[:<what>] renders the input data to SVG and adds a OSM map as a background. you can use this to generate maps like this (this was me crossing Korea by bicycle, BTW).
• svg-weighted[:<what>] renders the input data to SVG without adding a map background. colors segments and points based on how many times they appear in the input data. you can use this to generate maps like this.
• plot:<xaxis>-<yaxis>[-avg=n] plots the elevation and/or speed against distance or time in PNG format. <xaxis> is either distance or time, <yaxis> is either speed or elevation or both, separated by comma. optionally, appending -avg=n, where n is a number, will use a moving average with a window of n on each side for the data on the y axis.
• kml[:<what>] generates a KML, to be opened in Google Earth.
• stats prints some stats about the input file.

output options: "svg-map", "svg-weighted" and "kml" outputs all support rendering the path, the points or both. default is path, for others use the following syntax: "svg-map:points" or "svg-map:path,points".

input files can be either GPX files or files generated by the Columbus V-900 GPS data logger. file type is guessed from the extension (*.gpx or *.CSV).

• skip=n will only consider every n points in the input. useful if you have a huge input but don't want a huge SVG/KML to be generated.
• name-match-radius=m will consider points which have the same name and are within a radius of m meters from each other to be the same point. if you want for example to generate a map like this, you might not want stations that have the same name and are within say 500m from each other to be threated as separate stations. in that case, you can pass --name-match-radius=500.