San Diego’s CityIQ system consists of about 4,400 smart street lamps, which use a variety of sensors to track parking, pedestrians, traffic and a variety of environmental conditions. This analysis reveals pedestrian paterns using time-oriented heatmaps.
The US government has been widely criticized for its failure to test as many of its citizens for COVID-19 infections as other countries. But is mass testing really as easy as it seems? This analysis of the false positive and false negative rates of tests, using published sensitivities and specificities for COVID-19 rt-PCR and antigen tests, shows that even tests with slightly less than perfect results can produce very large numbers of false positives.
The SIR infection model is a simple way of exploring the effects of a social distance policy on a large population such as San Diego County
Exploring crime patterns with Ryhthm Maps, heat maps with two time dimensions.
An isochrone is the area of travel from a point in a constant time, which allows for more realistic analysis of retail cachment areas than a simple radius.
Rents are declining in some large metros and increasing in some small metros, an indicator of an important but not widespread shift.
A simple analysis of calls for service to the San Diego Police, with maps and temporal analysis.
Temporal analysis of 30 million parking records from San Diego’s smart streetlamp system.
Analsis of pedestrian traffic in downtown San Diego, comparing party time to work time.
Maps of homelessness data from Los Angeles.