Trekking and hiking time rule MATLAB implementations for Naismith's rule, Naismith's rule with Aitken-Langmuir corrections and Tobler's rule.
- Function available in
naismith.m
- Example plot available in
naismith_plot.m
track_length = 20; % km
ascend = 1; % km
[w, t] = naismith(track_length, ascend)
- Function available in
naismith_al.m
- Example plot available in
naismith_al_plot.m
base_speed = 4; % km /h
track_length = 20; % km
ascend = 1; % km
[w, t] = naismith_al(track_length, ascend)
- Function available in
tobler.m
- Plot will be generated when called without return parameter
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)
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
time = 5; % hours
fitness = 25; % Tranter minutes
[t] = tranter(time, fitness)