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Run Every Street and Trail (REST)

Data

Getting the streets dataset from OSM

  1. At https://overpass-turbo.eu/#, run the following command:
[out:json][timeout:500];
{{geocodeArea:Redlands}}->.searchArea;
(
  way["highway"]
     ["highway"!~"motorway|motorway_link|rest_area|platform|services"]
     ["foot"!~"no|private"]
     ["access"!~"no|private"]
     ["service"!~"parking_aisle|driveway"]
     ["footway"!~"crossing|sidewalk"]
     ["area"!~"yes"]     
     (area.searchArea);
     // or specify area by coordinates
     // (34.004, -117.278, 34.101, -117.051);
);
out body;
>;
out skel qt;

Then use Export -> download/copy as GeoJSON to export to a GeoJSON file.

Import GeoJSON to ArcGIS

Use arcpy or ArcGIS Online

  • In ArcGIS Online, import it to a hosted feature service: Add item -> From your computer
  • In Pro / with arcpy, convert it using arcpy.conversion.JSONToFeatures(geojson, layer, "POLYLINE")

Clean up the fields a bit

    arcpy.management.DeleteField(layer, 'tiger_cfcc;tiger_county;tiger_name_base;tiger_name_type;tiger_reviewed')   
    arcpy.management.AddFields(layer, [
      ['Meters', 'FLOAT'],
      ['Miles', 'FLOAT'],
      ['Runners', 'TEXT', '#', '#', 256],
      ['StravaIds', 'TEXT', '#', '#', 2000]])

Split the data into smaller segments for improved details

  • Split long lines into smaller segments into e.g. 25 meter segments: arcpy.management.SplitLine()

Get GPX data from the running activities

  • Once you have the GPX data locally, you can use them to figure out which segments you've run.

Dissolve the data for better performance when visualizing

  • arcpy.management.Dissolve(mainlayer, dissLayer, 'Runners;name;highway', None, 'MULTI_PART')

Web maps and Applications

  • Web map shared to group used by UltraMarathon app
  • Web map in a template app
  • Web map in Map Viewer