Mapbox vs. Google Maps vs. OpenStreetMap APIs: Finding the Perfect Fit for Your Next App
What is OpenStreetMap and how it is better than Google Maps
3.14159 | pi |
24875.11 | circumference of Earth in miles
based on global average radius |
40030.14 | circumference of Earth in kilometers
based on global average radius |
3959 | radius of Earth in miles
global average (wikipedia) |
6371 | radius of Earth in kilometers
global average (wikipedia) |
5280 | feet per mile |
3.28084 | feet per meter |
1.60934 | kilometers per mile |
1000 | meters per kilometer |
360 | degrees in a circle |
60 | minutes per degree |
60 | seconds per minute |
In a table, report the two locations (name, lat, lon) and the distance between them.
Round the lat/lon to fit the table.)
(Create a table using f strings or a PySimpleGUI.)
Create an interact program to calculate the great circle distance
Start with a simple menu driven program. When this is working convert it to a GUI.
Using latitude/longitude, calculate the distance between two locations on the earth.
See the Python code HERE
OpenStreetMap Wiki
OpenStreetMap Wiki: Downloading data
Working with OpenStreetMap in Python
OSMPythonTools
Loading Data from OpenStreetMap with Python and the Overpass API
Exploring OpenStreetMap using Pandas and the Python API
Accessing OSM Data in Python
Get coordinates of nodes using OSM id's
Schema (OSM Wiki)
Database (OSM Wiki)
Openstreetmap-website/Database schema
The OpenStreetMap data model
Mapping with OpenStreetMap
Node (OSM Wiki)
Way (OSM Wiki)
3 Ways to get OpenStreetMap(OSM) Data
Overpass API
Welcome to Python Overpass API’s documentation!
geopy (home)
5 minute intro to Open-source Geocoding with Python and Geopy - Calculate Latitude & Longitude
Top 10 Best IP Geolocation APIs (in 2023)
Free IP Geolocation API and Accurate IP Lookup Database
Geocoding in Python: A Complete Guide
OSMNx : get coordinates of nodes using OSM id
Support for Retrieving OSM NodeIds in Map Matching