Build a Web App called Menara to Predict, Forecast House Prices and search GreatSchools in California - Bay Area

A Java library for representing latitude, longitude and cardinal points of the compass, and calculating distance and bearing between points

Membuat Aplikasi Pencarian Bengkel dan Tambal Ban dengan Android Studio

Tempat Pelayanan Kesehatan menggunakan Formula Haversine, Google Place Api dan Google Maps Api

A collection of commonly used math routines, so I don't have to write them again. Implementations in C, C++, Rust, and Python (though not so much in Python as it already has a pretty good set of libraries).

RanCoord is a Python package for random sampling of geographic coordinates

ISS tracking script in python using NASA's API

Genetic Algorithm applied to to the Travelling Salesman Problem

Go package to nicely calculate distance between coordinates using the Haversine formula.

A quick cross platform application built to connect nearby users with shared interests.

Calculates Haversine Distance to calculate the difference between two coordinates

Three little php and JS snippets that do the same, calculate the distance between two points on earth in kilometers, miles and nautic miles.

🌐 A fast dataframe compatible haversine function

Allows for calculation of many types of distance between points

Using Tableau, this project analyses CitiBike's July 2023 data to understand user behaviour (Python is employed for ETL processes). Objectives include user segmentation, popular stations, ride characteristics, and geographical concentration. Key findings are summarised in two dashboards for member and casual users.

Apache Spark application written in Scala to map given latitude longitude values to nearest latitude longitude values in a given set using broadcasted indexes of available geo coordinates.

NFC Health System Database

A backend utility to suggest the nearest coordinates (such as a healthcare center) using the Haversine formula based on latitude and longitude, retrieved through pincode geocoding. Ideal for geospatial matching systems like smart healthcare, logistics, or location-aware services.

Worked with Ethiopia's rain and temperature time series data. Processed and analyzed 67 million Data and created a dashboard to monitor it.

How far apart are Azure primary and secondary regions?