The app is built around three primary functions: finding a hero, being a hero and finding a sidekick. Each of these elements allows for our user to engage with the platform in different ways. These functionalities allow you to search for your favorite superhero, adopt a sidekick (like a new puppy!) or find your inner hero and volunteer within yo…

Demo of Geocod.io APIs

JobLocationMapper is a Python tool that visualizes job listings on an interactive map. It uses city and state data to place job markers accurately and color-codes them by occupation (Software, Marketing, Design). The map clusters markers for better organization, and users can click on them to view job details.

Google Map Application

Student Project on Building a Geocoder Web Service #UdemyCourse

A Web-Map showing the data abstracted from a data of World's population for the year 2003 using "Folium" Library . Also , It plots a folium layer showing the pointers for all active volcanoes in North America along with some specific properties.

Sistema de procesamiento de direcciones desde archivos PDF almacenados en AWS S3, con extracción automática de texto, estandarización y georreferenciación mediante Google Maps API

#t3aihackathon

Jupyter Notebook Examples

Application of sero-epidemiology data to informing interventions for HBV in Africa: should diagnosis and treatment replace catch-up vaccination?

Check if address is inside a polygon defined in KML

A short guide to approximate geocoding

A minimalist weather application with manual city input

Not another weather app

Exemple d'utilisation de la donnée associée au géo-codage pour un exercice de groupe où l'étude consiste à "l'aide à la décision pour une agence immobilière de Marseille"

Written in R, the code shows how to making World Weather Maps

React Application to fetch the latitude and longitude using navigator and in output show the map using leaflet.js API

demo_geocode

Flask app with different geomapping functionalities, using user input or web scraping data.

An in-depth analysis of Vancouver parking ticket data using Python and geospatial techniques to identify patterns and hotspots in parking violations across the city from 2017-2024.