If you don't specify a field, both the name and the description are searched. So a very simple use of this function would look like this: GV_Filter_Markers_With_Text({ pattern:'GPS' })-- this would select markers whose name or description contained the text "GPS". If you know how to create "regular expression" patterns, you can use them.
The GPS visualizer is all about creating an online mapping solution that is all bout going through tabular data and then turning it into a visual. This is something that is empowering and will add value to how the map in front of you appears. You can take the time to set up specific points on the map and begin to add descriptions based on what
So, clearly, using GPS Visualizer's trackpoint distance threshold function can help you find more accurate elevation gains — not to mention distances. In this example, we used a 20m distance threshold, which is pretty extreme and might remove important details, but a distance filter of 10m or less is usually pretty harmless.
A few lines of code and we’ve got GPX track data on a map. Okay time to get into it for real and deal with distance and speed. In a simple flat plane, the good ol’ distance formula d = sqrt ( (x2-x1)^2 + (y2-y1)^2) is all we need to calulate distance, then delta_d/delta_t gives us speed.
I have created an HTML file that you can use to display speed information (such as obtained from a CPS Tracker device) as a speedometer (and elevation data as an altimeter). It uses a javascript library described here: The data needs to be in the GPX XML format. If your data is not in this format you can try converting it here: GPS Visualizer: Convert GPS files to plain text or GPX You can
Split a GPX file (or a Forerunner/Edge file) This form takes a standard GPX file — or a workout history file from a Garmin Forerunner GPS receiver (.hst or .tcx, exported from the "Logbook" or "Training Center" software) — and splits it into individual tracks, then packs them all into a single ZIP file for you to download. It will also
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how to use gps visualizer