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Google Maps and OpenWeather APIs used with random geographical points generated; importing into Python and Javascript for transformation; using citypy to find closest towns; plotted on Map; planned round-trip driving route

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World Weather Analysis

  • Developer: Stan Misina.
  • Submission Date: Jul 18, 2021.
  • Software Tools Used:
    • Python 3.8 with libs: Pandas GMaps, CitiPy, NumPy, MatPlotLib, Requests, Random.
  • API Keys leveraged: Google, OpenWeather

Objective

Create a travel itinerary between four points.

  • These points are to be determined by first selecting 2000 random latitudes and longitudes, finding the city name of these points, and finding a hotel within 5000 meters of the Lat/Long pair.
  • Using Google Maps Directions service, plot a tour between these points for travel, in this case, driving.
  • In addition to the geographic information and lodging, provide current weather conditions and maximum temperature of the start/end and waypoints.

Results

Objective met. The following maps demonstrate required development milestones:

Global Plots of Randomized Points
Global_Plots_of_Randomized_Points

Calculated Travel Route
Calculated_Travel_Route

Travel Route Markers Travel_Route_Markers

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Google Maps and OpenWeather APIs used with random geographical points generated; importing into Python and Javascript for transformation; using citypy to find closest towns; plotted on Map; planned round-trip driving route

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