Table of contents


@Gabriele Ghisleni, Data Science.


  0. Environment set up

  1. SAT Trails

Load the data from https://www.sat.tn.it/sentieri/mappa-sentieri/; this data are available under the license 'Open Data Commons Open Database License (ODbL)' and distributed by "© Società degli Alpinisti Tridentini (SAT)".

Alternatively they were provided (but not updated trough the CatalogueServiceWeb("http://geodati.gov.it/RNDT/csw") under the denomination of 'p_TN_f3547bc8-bf1e-4731-85d2-2084d1f4ba07'.

In this data we have the mountain trail maintaned and handled by SAT.

  1.1 Trails and alpine huts

  1.2 Trails binding alpine huts

  2 Trentino Alto Adige Trails Network

  2.1 Trails network

Generate the trails network of the main dolomities in Trentino-Alto Adige

  2.2 Peaks - Huts on the Graph

for each of the highest peak we will check the closest hut and how far it is.

we can actually control how far are the point on the graph to the peaks.

  2.3 Add elevation attributes

Open-Elevation's API is extremely simple -- after all, it fits a single, specific, simple task. There is only one endpoint, which is documented here.

https://github.com/Jorl17/open-elevation/blob/master/docs/api.md

  2.4 Add edge_speeds attributes

We already have the inpedence with is a functin of the lenght and the grade_abs, in any case we would add manually the time speeds according to the grade_abs of the trail.

To do so we mark each edge with its corresponding quantile and then we will assign different velocity according to the level of the grade.

  2.5 From huts to peaks considering elevation

we have to create a new variable to modify the weight of the walk; to do that we add a further attribute to each edge that depends on its grade_abs which is directly related to the elevation of the starting point and the end point of that edge.

  3. Trentino-Alto Adige Street-Trail Network analyses

  3.1 Connect streets to trails

  3.2 Tn/Bz to huts