I have been working on the improvement of the visualization. The main concern was the representation of the data in terms of time. So far the data was displayed only when there was a track point. Each track point would fade out after a representation time of approximately 30mins. What gets lost in this representation is times I stay in one place for a longer period, say being at work for a half a day or a day.
This new clip takes this into account and the represents exactly those times I haven’t moved for a wile. Interesting how those clusters build up and dissolve.
Compared to the point version, the movie below shows the movement with longer duration times. It displays a time frame of 30 minutes. After this time the tracks and points fade out. Similar to the version above records that represent a longer attendance in one place stay even though the set timeframe has past.
To set the duration of 24H in a more realistic context, the clip below integrates the amount of daylight. So at night it’s dark and during the day the sun is shining! Even tough it s Plymouth ...!
Anyway the darker periods of this day are quite long. This is due to the fact that the model uses January the first to calculate daylight conditions. So its winter then.