2018年北京市POI数据

兴趣点数据通过网络爬虫从百度、腾讯和高德地图等地图服务中爬得并融合，其具备了跨行业、跨部门整合数据的能力，和基于空间位置进行大数据挖掘的天然优势。北京兴趣点数据记录了北京城中各兴趣点的名称、缩写、联系电话、位置、类型、面积等信息。以位置和类型等核心信息构建城市功能区推测数据集，总的数据条数超过13万条。

Point of Interest (POI) data was crawled and integrated from mapping services including Baidu Maps, Tencent Maps, and Amap via web crawlers. This dataset features the ability to integrate cross-industry and cross-departmental data, and boasts inherent advantages for spatial location-based big data mining. The Beijing POI dataset records detailed information such as the name, abbreviation, contact telephone number, geographic location, category, and area of each POI within Beijing, and contains a total of more than 130,000 records. It is utilized to construct an urban functional zone inference dataset using core information including location and category.

搜集汇总

背景与挑战

背景概述

该数据集是通过爬取百度、腾讯和高德地图获取的2018年北京市POI数据，包含超过13万条兴趣点信息，记录名称、位置、类型等详细信息，适用于城市空间分析和功能区推测。