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- For computer programming classes: Google and Bing now recognize geo-coordinates as a data type. For example: "40 N, 75 W" produces a map as its first search result – it's just across the river from Philadelphia. This means you can write Python scripts that automate one or more geo-searches. Some possibilities:
- Given a list of class birthdays, generate a set of maps that show everyone's "birthday location". Example: Someone born on 12/12 would have a birthday location in northeastern Nigeria (12 N, 12 E)
- Given coordinates for a location (say, a student's home address), generate a map of the lat/lon on the opposite side of the world. (For example, San Diego's lat/lon is approximately 33 N, 117 W. The opposite lat/lon (33 S, 117 E) is approximately Perth, Australia). You can decompose this task by first getting the mirror lat (33 S, 117 W) and/or mirror lon (33 N, 117 E). You can add complexity by indexing the resulting lat-lon to a table of world-wide cities and automatically generating the closest major city.
- If you can write scripts for Google Earth, see if you can do the same thing for Mars or the Moon. (For example, the Opportunity Rover is at about 2 S, 5.5 W...and it's not moving from there.)
A counter-example: Cellphone towers and COVID-19 – this is an attempt to demonstrate that not all patterns/rules are equal.... Has a point layer for cellular towers, a clustered version of that layer, and then clustered county-level data or COVID cases for April, August, and November of 2020.