Turn GPS coords into Names of Cities

[youralien]

affordanceaware is already giving us city names through the Weather API. Although "Dexter, US" is not really all that helpful. "Dexter, MI, US" would be more helpful.

'pressure': 993.1, 'sea_level': 1026.16, 'grnd_level': 993.1, 'humidity': 42, 'temp_kf': 0}, 'weather': [{'id': 500, 'main': 'Rain', 'description': 'light rain', 'icon': '10n'}], 'clouds': {'all': 76}, 'wind': {'speed': 3.56, 'deg': 93.0067}, 'rain': {'3h': 0.07}, 'sys': {'pod': 'n'}, 'dt_txt': '2018-08-01 00:00:00'}, {'dt': 1533092400, 'main': {'temp': 294.387, 'temp_min': 294.387, 'temp_max': 294.387, 'pressure': 993.11, 'sea_level': 1026.03, 'grnd_level': 993.11, 'humidity': 55, 'temp_kf': 0}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01n'}], 'clouds': {'all': 0}, 'wind': {'speed': 3.02, 'deg': 125}, 'rain': {}, 'sys': {'pod': 'n'}, 'dt_txt': '2018-08-01 03:00:00'}, {'dt': 1533103200, 'main': {'temp': 290.214, 'temp_min': 290.214, 'temp_max': 290.214, 'pressure': 991.97, 'sea_level': 1024.93, 'grnd_level': 991.97, 'humidity': 81, 'temp_kf': 0}, 'weather': [{'id': 801, 'main': 'Clouds', 'description': 'few clouds', 'icon': '02n'}], 'clouds': {'all': 24}, 'wind': {'speed': 0.65, 'deg': 148.002}, 'rain': {}, 'sys': {'pod': 'n'}, 'dt_txt': '2018-08-01 06:00:00'}, {'dt': 1533114000, 'main': {'temp': 288.559, 'temp_min': 288.559, 'temp_max': 288.559, 'pressure': 991.54, 'sea_level': 1024.75, 'grnd_level': 991.54, 'humidity': 83, 'temp_kf': 0}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01n'}], 'clouds': {'all': 0}, 'wind': {'speed': 1.3, 'deg': 234.005}, 'rain': {}, 'sys': {'pod': 'n'}, 'dt_txt': '2018-08-01 09:00:00'}, {'dt': 1533124800, 'main': {'temp': 291.467, 'temp_min': 291.467, 'temp_max': 291.467, 'pressure': 991.28, 'sea_level': 1024.46, 'grnd_level': 991.28, 'humidity': 78, 'temp_kf': 0}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'clouds': {'all': 0}, 'wind': {'speed': 1.81, 'deg': 250.508}, 'rain': {}, 'sys': {'pod': 'd'}, 'dt_txt': '2018-08-01 12:00:00'}, {'dt': 1533135600, 'main': {'temp': 299.573, 'temp_min': 299.573, 'temp_max': 299.573, 'pressure': 991.28, 'sea_level': 1024.12, 'grnd_level': 991.28, 'humidity': 55, 'temp_kf': 0}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'clouds': {'all': 0}, 'wind': {'speed': 3.22, 'deg': 291.504}, 'rain': {}, 'sys': {'pod': 'd'}, 'dt_txt': '2018-08-01 15:00:00'}, {'dt': 1533146400, 'main': {'temp': 302.461, 'temp_min': 302.461, 'temp_max': 302.461, 'pressure': 990.39, 'sea_level': 1023.1, 'grnd_level': 990.39, 'humidity': 40, 'temp_kf': 0}, 'weather': [{'id': 801, 'main': 'Clouds', 'description': 'few clouds', 'icon': '02d'}], 'clouds': {'all': 12}, 'wind': {'speed': 5, 'deg': 298.504}, 'rain': {}, 'sys': {'pod': 'd'}, 'dt_txt': '2018-08-01 18:00:00'}, {'dt': 1533157200, 'main': {'temp': 302.447, 'temp_min': 302.447, 'temp_max': 302.447, 'pressure': 989.7, 'sea_level': 1022.34, 'grnd_level': 989.7, 'humidity': 34, 'temp_kf': 0}, 'weather': [{'id': 803, 'main': 'Clouds', 'description': 'broken clouds', 'icon': '04d'}], 'clouds': {'all': 76}, 'wind': {'speed': 5.36, 'deg': 269.007}, 'rain': {}, 'sys': {'pod': 'd'}, 'dt_txt': '2018-08-01 21:00:00'}], 'city': {'id': 4990797, 'name': 'Dexter', 'coord': {'lat': 42.3384, 'lon': -83.8886}, 'country': 'US', 'population': 4067}}}

[kapil1garg]

There don't seem to be any recently maintained Meteor packages, but this Node package looks pretty good (and its completely offline): https://www.npmjs.com/package/local-reverse-geocoder

[youralien]

Looked into the package on Saturday, and it requires a lot of disk and memory requirements, which probably will not work well for a heroku instance. We would be better off using Google's Reverse Geocoder API

[youralien]

Emphasizing Place Geolocation Information is enacting a new mechanism in the interaction, where highlighting just the situational/affordance based similarities is one step towards this. From an argument point of view, we want to be careful of implementing this feature to distinguish this situation-based app vs location-based apps.