geographical-data

🌍 Discover our global repository of countries, states, and cities! 🏙️ Get comprehensive data in JSON, SQL, PSQL, SQLSERVER, MONGODB, SQLITE, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native language, timezones (for countries), and more. #countries #states #cities

An offline crossplatform .NET library for getting Global Country , iso3166 Short-code and Region Data

An array of geographical data for all USA states with full TypeScript support

Power Bi projeleriniz için Türkiye'mizin Coğrafi Bölgeleri, İl ve İlçelerine ait Şekil Haritaları ( JSON Dosyaları )

Geographical version of Schelling's model of Segregation. It is built with PyQt5 and PyQtGraph

A library to extract historical toponyms from texts, geocode and visualize the results on maps.

2021 Text and Data Analysis Summer School

In this repository you are going to find the documents we produced to support the discussion in our Digital Methods of the Month. These documents will help you orienting yourself if you want to pickup the method in your research. Go to the readme file

This repo shows how to plot GNSS data obtained by MATLAB mobile using a python library, folium.

Welcome to the repository for all the materials for Stream 2 of the CDCS 2024 summer school. Go to the readme file

Compared Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) using R programming with interpretation

Materials for the workshop "Making Interactive Web Maps: Finding the Right Tool for You" (15 Feb 2024, 10:00 – 12:00). Go to the readme file

Introduction to Visualising Data in QGIS 2.8. See readme for more info

Repositorio con datos geográficos detallados de la República Dominicana, incluyendo scripts SQL para SQL Server y MySQL, y un archivo Excel con información completa sobre provincias, municipios y distritos municipales.

Deep dive workshop to explore the potential of coding-based data wrangling and data visualisation

This repository contains the material connected to a workshop developed for CDCS by Ian Holmes Edina . This workshop shows how to work with Historical Maps and Digimaps. More info in the readme file

Choropleth maps with varying levels of granularity using Plotly and Streamlit.

Demonstrates how to build and deploy a dashboard for exploration of road crashes in Queensland, Australia, based on dataset obtained from the Department of Transport and Main Roads.

OpenWeatherMap & Google APIs used to map hotels based on weather preferences, written in Python using Pandas & JSON data.

Interactive visualization of geographical data through choropleth maps, geographical maps and real maps.