GeoGraphNetworks: Shapefile-Derived Datasets for Accurate and Scalable Graphical Representations

The GeoGraphNetworks data repository provides a comprehensive collection of networks, including the road and railway networks of the United States of America (USA) and the road and river networks of Great Britain (GB). This dataset offers nationwide coverage for both countries.The networks representing the road infrastructure of the USA include primary and secondary roads, covering all 50 states, 1 federal district (Washington, D.C.), and 5 territories, resulting in a total of 56 networks. The rail line infrastructure of the USA is represented as a single network that covers the entire country and includes connectivity to Canada. A total of 114 files , including 57 in Excel (.xlsx) format and 57 in JSON format, representing a total of 56 road networks and 1 rail network.Great Britain dataset comprises a comprehensive collection of 106 files, including 53 in Excel (.xlsx) format and 53 in JSON format, representing a total of 53 unique networks, 52 road networks and 1 river network. Each file is named with a unique code assigned by Ordnance Survey, which systematically divides Great Britain into 100 km by 100 km tiles (https://www.ordnancesurvey.co.uk/documents/product-support/user-guide/os-open-roads-overview.pdf).It allows researchers, urban planners, and anyone interested to explore how these networks connect people and places. With GeoGraphNetworks, you can easily analyze the travel routes and waterways that play a crucial role in the transportation systems of GB and the USA.The JSON files contain graph objects created using the widely used Python library NetworkX, allowing for immediate use without the need for pre-processing. Meanwhile, the Excel files are designed to support the construction of these graph networks across various platforms and programming languages, providing users with flexibility and ease of integration into their projects. This ensures that whether you're a developer, researcher, or data analyst, you can leverage this dataset effectively in your work.<br>Visual representation of each network along with the code to use these networks (in Notebooks) are hosted on the Github Profile: https://github.com/Harsh9650/GeoGraphNetworks

GeoGraphNetworks 数据集仓库提供了覆盖全面的网络数据集，涵盖美利坚合众国（USA）的道路与铁路网络，以及大不列颠地区（GB）的道路与河网，且覆盖两国全境范围。美国道路基础设施网络涵盖主干道路与次干道路，覆盖全美50个州、1个联邦特区（华盛顿哥伦比亚特区）及5个海外领地，共计56张道路网络数据集。美国铁路线路基础设施以单张覆盖全境的网络形式呈现，该网络同时包含与加拿大的线路衔接节点。该部分数据集共计114个文件，其中57个为Excel（.xlsx）格式文件，57个为JSON格式文件，分别对应56张道路网络与1张铁路网络。大不列颠地区数据集包含106个文件，其中53个为Excel（.xlsx）格式文件，53个为JSON格式文件，共计53张独立网络，涵盖52张道路网络与1张河网。每个文件均采用英国地形测量局（Ordnance Survey）分配的唯一编码命名，该机构将大不列颠地区系统划分为100km×100km的网格瓦片（详见：https://www.ordnancesurvey.co.uk/documents/product-support/user-guide/os-open-roads-overview.pdf）。本数据集可供研究人员、城市规划者及所有感兴趣的群体探究各类网络如何实现人群与地域的互联互通。借助GeoGraphNetworks数据集，用户可便捷分析美英两国交通系统中发挥关键作用的出行路径与航道网络。JSON格式文件包含由广泛使用的Python图论库NetworkX构建的图对象，可直接使用，无需额外预处理。与此同时，Excel格式文件可支持在多平台及各类编程语言中构建此类图网络，为用户提供了灵活易用的项目集成途径。这意味着无论开发者、研究人员还是数据分析师，均可在自身工作中高效利用本数据集。各网络的可视化展示及配套使用代码（基于Jupyter Notebook）均已托管于该项目的GitHub仓库：https://github.com/Harsh9650/GeoGraphNetworks