…with apologies for awkward third person language.
Progress: ESS progress is shown here as cumulative percent completed street length as function of time (day). The larger (black) circles are scaled to the total distance travelled during that segment and the smaller (red) circles are scaled to the new (unique) distance added during that segment. The difference between the circle sizes is the efficiency for that segment. Hover over marker circles to see segment stats, drag to zoom.
Efficiency: The difference between the total GIS distance travelled (centerlines, limited to street segments) and unique new street segment lengths added is 82.3% as of day 47 (the final day) and is shown as an orange line labeled AE (for actual or achieved efficiency). Circle size/color symbology is the same as above. The blue line shows an estimate of city-wide maximum theoretical efficiency of 88.8% (a calculated by Michael for (a substantial) part of the journey (not the whole thing). Hover over marker circles to see segment stats, drag to zoom.
Dead Ends: Rickey made a comment a while back about the propensity for dead end streets in a particular neighborhood and so I added a classification for each street segment regarding whether or not it was a dead end. I figured that there would be a relationship between the percent of length of dead ends street segments in a given segment and the achieved efficiency and was mistaken (see graph below). I may also look into some mechanism for quantifying the regularity of the grid for each segment and see if this correlates well with efficiency but this will take some time to implement (and I am not sure how to do it yet).
Elevation: On the very bottom, you can see the elevation profile for all of the run segments thus far (rounded to 100m) as a thin, black line. The diagonal thin, black line shows cumulative climbing calculated “Strava-style” recognizing only elevation gain between sample points. The method that I used here samples a 10*10 meter digital elevation model every 10 meters of distance. This method provides a higher resolution output to non-barometric Strava measurements and a similar resolution to barometric measurements but without the barometric drift (that I imagine would be pretty bad in SF). The horizontal lines are multiples of Mt. Everest and Rickey climbed 164,991 feet over the course of the ESS project which is 31.4 miles or 5.7 Mt. Everests from MSL.