https://github.com/sunsided/trekking-times

Implementations of Naismith's rule, Tobler's rule, etc. for trekking and hiking times
https://github.com/sunsided/trekking-times

aitken-langmuir-corrections hiking hiking-times matlab naismith-rule tobler-rule trekking

Last synced: about 1 month ago
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Implementations of Naismith's rule, Tobler's rule, etc. for trekking and hiking times

• Host: GitHub
• URL: https://github.com/sunsided/trekking-times
• Owner: sunsided
• License: mit
• Created: 2014-06-16T17:28:52.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2014-06-16T23:34:21.000Z (over 10 years ago)
• Last Synced: 2024-11-09T08:14:46.122Z (2 months ago)
• Topics: aitken-langmuir-corrections, hiking, hiking-times, matlab, naismith-rule, tobler-rule, trekking
• Language: Matlab
• Homepage: https://medium.com/@sunside/naismith-aitken-langmuir-tranter-and-tobler-modeling-hiking-speed-4ff3937e6898
• Size: 152 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Trekking and Hiking Times #

Trekking and hiking time rule MATLAB implementations for Naismith's rule, Naismith's rule with Aitken-Langmuir corrections and Tobler's rule.

## Naismith's rule ##

* Function available in `naismith.m`

* Example plot available in `naismith_plot.m`

### Example ###

	track_length = 20;  % km

	ascend = 1;         % km

	[w, t] = naismith(track_length, ascend)

## Naismith's rule with Aitken-Langmuir corrections ##

* Function available in `naismith_al.m`

* Example plot available in `naismith_al_plot.m`

### Example ###

	base_speed = 4;     % km /h

	track_length = 20;  % km

	ascend = 1;         % km

	[w, t] = naismith_al(track_length, ascend)

## Tobler's rule ##

* Function available in `tobler.m`

* Plot will be generated when called without return parameter

### Example ###

	slope = tand(10);   % tand(degree)

	track_factor = 1;   % e.g. 1 (footpaths), 0.6 (off-path)

	[w] = tobler(slope, track_factor)

	% create plot

	tobler(slope, track_factor)

## Tranter's correction table ##

Correction table to Naismith's rule.

* Table available in `tranter_table.m`

* Least squares best-fit function available in `tranter.m`

* Plotting of these two in `tranter_plot.m`

* Fitting testbench in `tranter_fit.m`

### Example ###

	time = 5;           % hours

	fitness = 25;		% Tranter minutes

	[t] = tranter(time, fitness)