five

Overture Maps - Places (Cortex AI ready)

收藏
Snowflake2025-05-23 更新2025-05-24 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZT0Z4CM1E9Q9
下载链接
链接失效反馈
官方服务:
资源简介:
A place is a business or point of interest within the world. A Place is a point representation of a real-world facility, service, or amenity. This dataset offers: - Extensible attributes. Points of interest include basic attributes like phone, mail, website and brand. Attributes currently not covered in the official schema release are allowed to exist with a prefix or ext in their name. - Controlled categories. Overture has created a taxonomy that allows for the transformation of different hierarchical and non-hierarchical categorization systems to the Overture categorization system. <p><br/></p> This listing includes a Semantic View to help users analyze it with Cortex AI.<br/> Founded in 2022 under the Joint Development Foundation, Overture Maps Foundation (Overture Maps) is dedicated to the development of reliable, easy-to-use, and interoperable open map data that will power current and next-generation map products. We build this data through a collaborative process that combines technology, data, and support from a wide range of companies. Map data are assembled from multiple sources including members, civic organizations, and open data sources. Overture's data themes and schema are licensed under CC-BY 4.0. GERS IDs are licensed under CDLA Permissive v 2.0. Data associated with the themes through GERS can carry different licenses. However, if the data associated though GERS with an ODbL licensed theme constitutes a derivative dataset, it must be licensed under ODbL. See OpenStreetMap Community Guidelines for definitions of a derivative database. This data is processed, onboarded and maintained by CARTO in collaboration with the Overture Maps Foundation.
提供机构:
CARTO
创建时间:
2025-05-23
原始信息汇总

Overture Maps - Places (Cortex AI ready) 数据集概述

数据集基本信息

  • 提供商: CARTO
  • 访问权限: 免费,无限访问
  • 数据主题: 包含设施、服务、商业或便利设施的点表示数据集
  • 数据更新频率: 每月
  • 地理覆盖范围: 全球(按经纬度)
  • 云区域可用性: AWS US East (N. Virginia)

数据集描述

  • 定义: 地点是现实世界中的设施、服务或便利设施的点表示。
  • 特点:
    • 可扩展属性:兴趣点包括电话、邮件、网站和品牌等基本属性。
    • 受控分类:Overture创建了一个分类系统,可将不同层次和非层次分类系统转换为Overture分类系统。
  • 语义视图: 包含语义视图以帮助用户使用Cortex AI进行分析。

业务需求

  • 经济影响分析: 分析不同业务和服务类型的分布及其对社区的经济影响。
  • 加速广告收入: 分析户外媒体广告牌附近的兴趣点类型。
  • 市场分析: 了解各区域的业务和兴趣点类型,以确定具有高增长潜力的新位置。

数据字典

PLACE 表结构

  • ID: Varchar
  • BBOX: Variant
  • VERSION: Number
  • SOURCES: Variant
  • NAMES: Variant
  • CATEGORIES: Variant
  • CONFIDENCE: Float
  • WEBSITES: Variant
  • SOCIALS: Variant
  • EMAILS: Variant
  • PHONES: Variant
  • BRAND: Variant
  • ADDRESSES: Variant
  • _META_LOADED_AT: Timestamp_TZ
  • _META_SOURCE_FILE_NAME: Varchar
  • GEOMETRY: Object

数据示例

  • 示例1:

    • ID: 08fc2e38010735550328a916810914ae
    • NAMES: { "primary": "Heladeria Antoinette" }
    • CATEGORIES: { "alternate": [ "gelato", "diner" ], "primary": "ice_cream_shop" }
    • CONFIDENCE: 0.9179869525
    • PHONES: [ "+541127597002" ]
    • ADDRESSES: { "country": "AR", "freeform": "Infanta Isabel 6604", "locality": "González Catán", "postcode": "B1759" }
    • GEOMETRY: { "coordinates": [ -58.6128876, -34.7781345 ], "type": "Point" }
  • 示例2:

    • ID: 08f194e74692aa9e03e0955802b3317b
    • NAMES: { "primary": "M4Siz" }
    • CATEGORIES: { "alternate": [ "information_technology_company", "computer_store" ], "primary": "software_development" }
    • CONFIDENCE: 0.8764568765
    • WEBSITES: [ "https://m4siz.com/" ]
    • PHONES: [ "+442082421788" ]
    • ADDRESSES: { "country": "GB", "freeform": "25 Downham Road", "locality": "Billericay", "postcode": "CM11 1PU", "region": "ENG" }
    • GEOMETRY: { "coordinates": [ 0.4754517, 51.6365702 ], "type": "Point" }

许可证信息

  • 数据主题和模式: CC-BY 4.0
  • GERS IDs: CDLA Permissive v 2.0
  • 衍生数据集: 如果与ODbL许可主题相关的数据构成衍生数据集,则必须根据ODbL许可。

维护信息

  • 数据处理和维护: CARTO与Overture Maps Foundation合作进行。

相关数据集

  • CARTO Analytics Toolbox Lite
  • OpenStreetMap - Nodes (USA)
  • ACS - Sociodemographics (USA, Census Block Groups, 2018)
  • StatCan - Sociodemographics (Canada, Census Division, 2016)
  • OpenStreetMap - Nodes (United Kingdom)
  • Spatial Features (USA, Quadgrid 15 and H3 Res. 8)

联系方式

  • 销售: snowflake-marketplace@carto.com
  • 支持: support@cartodb.com
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集提供全球商业和兴趣点的位置信息,具备可扩展属性和统一分类系统,便于AI分析。它由Overture Maps Foundation通过多方协作开发,采用开放许可,并由CARTO进行数据处理和维护。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作