Sold by: Geolytica
Deployed on AWS
This is a Sample of the Point of Interest (POI) Dataset for the China. It contains a random sample of POIs in China, Hong Kong and Macau geocoded with rooftop accuracy as of May 20, 2021. For evaluation / trial purposes only. There are 568 POI categories, the top 10 are 购物 - Shopping, 美食 - Food, 公司企业 - Company, 交通设施 - Transportation facilities, 停车场 - parking lot, 家居建材 - home building materials, 中餐厅 - Chinese restaurant, 小吃快餐店 - snack fast food restaurant, 酒店 - Hotel, 政府机构 - Government agency.
Overview
This is a Sample of the PoiData.XYZ China Point of Interest Dataset containing the latest Ground Truth pertaining to current active businesses, institutions and landmarks in China. The complete dataset is available here .
Regional Coverage
This POI dataset is for China (including Hong Kong and Macau).
Formats
This product is delivered in the following format: Comma Separated File (CSV)
Full Description
Point of Interest (POI) is defined as a physical entity (such as a business) in a geo location (point) which may be (of interest).
We strive to provide the most accurate, complete and up to date point of interest datasets for all countries of the world.
This is our process flow:
- Our machine learning systems continuously crawl for new POI data
- Our geoparsing and geocoding calculates their geo locations
- Our categorization systems cleanup and standardize the datasets
- Our data pipeline API publishes the datasets on our data store
POI Data is in a constant flux. Every minute worldwide over 200 businesses will move, over 600 new businesses will open their doors and over 400 businesses will cease to exist. And over 94% of all businesses have a public online presence of some kind tracking such changes.
We offer our customers perpetual data licenses for any dataset representing this ever changing information, downloaded at any given point in time. This makes our company's licensing model unique in the current Data as a Service - DaaS Industry. Our customers don't have to delete our data after the expiration of a certain "Term", regardless of whether the data was purchased as a one time snapshot, or via our data update pipeline.
The main differentiators between us vs the competition are our flexible licensing terms and our data freshness.
The Data Schema for this product is as follows:
Parameter | Description | Type | Example ----|----- poi_name | The name of the point of interest | String | 深圳宝安国际机场-汽车站 poi_tel | The telephone number of the point of interest | String | (0755)23453501 main_category | The main category name of the point of interest | String | 交通设施 second_category | The secondary category name of the point of interest | String | 长途汽车站 main_category_en | The main category name of the point of interest | String | Transportation facilities second_category_en | The secondary category name of the point of interest | String | long-distance bus station location_id | Integer id of the geo location of the POI with a resolution of 10 metres | Integer | 8088928067414 area_id | Integer id of the general area (city/neighborhoods) of the POI location | Integer | 680807 small_area_id | Integer id of the specific area (a small collection of city blocks) of the POI location. This is useful for grouping together Points of Interest that are for example in the same Airport or Mall. | Integer | 808892806 latitude | Latitude coordinate of the point of interest. | Float | 22.622316 longitude | Longitude coordinate of the point of interest. | Float | 113.814452 adr | Street Address. | String | 空港八道 8 city | City Name. | String | 深圳市 neighborhood | City Neighborhood or City District Name. | String | 宝安区 prov | Province, State or Region Name | String | 广东省 postal | Postal or Zip Code | String | 518100 country | The country name | String | China formatted_address | The formatted postal address | String | 广东省深圳市宝安区空港八道8号GTC1层 source_url | The web address of the point of interest | String | http://www.jichangbus.com/baoan/changtu/ email | The email address of the point of interest | String | ii@jichangbus.com opening_hours | The hours of operation | String | 07:00-24:00 crawl_time | The timestamp when this POI was crawled and verified as active | DateTime | 2021-05-18 0:30:13 weekday_busy_times | Weekday relative busy times based on cellular data of foot traffic of customers inside the facility. Days range from "d0" (Monday) to d6 (Sunday) and the hours from h0 (midnight) to h23 (23:00hr). The relative score ranges from 0 (0% busy) to 100 (100% busy) where 100 is the maximum busy score over all days/hours of the week. For example, d0: h12:83 means that on Monday at Noon (12:00hr) the location is 83% busy relative to other day/time combos. | String | d0: h0: 84, h1: 84, h2: 42, h3: 42, h4: 42, h5: 14, h6: 15, h7: 22, h8: 38, h9: 38, h10: 63, h11: 70, h12: 70, h13: 77, h14: 83, h15: 83, h16: 83, h17: 78, h18: 78, h19: 78, h20: 78, h21: 78, h22: 78, h23: 60, d1: h0: 60, h1: 40, h2: 35, h3: 35, h4: 35, h5: 35, h6: 35, h7: 24, h8: 24, h9: 64, h10: 64, h11: 68, h12: 68, h13: 68, h14: 80, h15: 75, h16: 76, h17: 76, h18: 76, h19: 74, h20: 74, h21: 74, h22: 61, h23: 54, d2: h0: 54, h1: 54, h2: 38, h3: 25, h4: 25, h5: 16, h6: 21, h7: 25, h8: 37, h9: 62, h10: 64, h11: 73, h12: 73, h13: 73, h14: 92, h15: 92, h16: 92, h17: 99, h18: 99, h19: 86, h20: 86, h21: 84, h22: 84, h23: 84, d3: h0: 84, h1: 84, h2: 84, h3: 84, h4: 11, h5: 14, h6: 14, h7: 14, h8: 14, h9: 14, h10: 14, h11: 14, h12: 14, h13: 14, h14: 14, h15: 14, h16: 14, h17: 14, h18: 14, h19: 14, h20: 14, h21: 14, h22: 14, h23: 14, d4: h0: 14, h1: 14, h2: 14, h3: 14, h4: 14, h5: 14, h6: 14, h7: 14, h8: 14, h9: 14, h10: 14, h11: 14, h12: 14, h13: 14, h14: 80, h15: 80, h16: 90, h17: 90, h18: 90, h19: 90, h20: 90, h21: 90, h22: 90, h23: 90, d5: h0: 90, h1: 90, h2: 90, h3: 90, h4: 90, h5: 12, h6: 15, h7: 15, h8: 15, h9: 15, h10: 60, h11: 71, h12: 62, h13: 62, h14: 86, h15: 83, h16: 75, h17: 75, h18: 75, h19: 75, h20: 75, h21: 75, h22: 75, h23: 58, d6: h0: 58, h1: 58, h2: 41, h3: 41, h4: 41, h5: 41, h6: 41, h7: 41, h8: 41, h9: 41, h10: 41, h11: 41, h12: 41, h13: 41, h14: 41, h15: 41, h16: 41, h17: 41, h18: 84, h19: 84, h20: 84, h21: 84, h22: 84, h23: 84
The Data Coverage for the core poi attributes is as follows:
| Attribute | Data Coverage (%) |
|---|---|
| poi_name | 100 |
| poi_tel | 37 |
| formatted_address | 100 |
| main_category | 95 |
| latitude | 100 |
| longitude | 100 |
| neighborhood | 78 |
| source_url | 82 |
| 14 | |
| opening_hours | 16 |
General License Terms
License Terms - https://store.poidata.xyz/license.txt Privacy Policy - https://poidata.xyz/privacy.txt
About POIDATA.xyz
POIDATA , a Geolytica inc subsidiary, is a data company bringing innovative solutions to the problem of maintaining up-to-date and accurate Point-of-Interest (POI) Data - Ground Truth at the Speed of Life.
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Dimensions summary
This listing is a free sample of Points of Interest (POI) geographic data for China. It uses one pricing dimension, Product Access (Units), which grants you access to the product at no cost. There are no tiers, usage add-ons, or instance sizes to choose from. You get the sample dataset under a single flat access grant. The sample lets you review the data structure, including location records organized by province and city, before deciding whether to obtain a paid dataset elsewhere.
Top-of-mind questions for buyers
One unit grants you access to the China POI sample dataset. There is no metering by record count, download volume, or seat. Access is a single flat grant that lets you review the sample data at no cost.
No. This sample is free under one Product Access grant. Your cost stays at zero regardless of how many records you view or how often you access the data. There are no usage thresholds, overage charges, or tier upgrades that could raise the price.
You get location records for points of interest across China, organized by province and city. This lets you inspect the data structure and coverage before deciding whether to obtain a paid dataset. The sample reflects a subset of the wider record set.
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Delivery details
AWS Data Exchange (ADX)
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
POIData.xyz Points of Interest (POI) Geo Data - China - SAMPLE Dataset | All historical revisions | All future revisions | Not included | Not included |
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The full category list is at https://store.poidata.xyz/kr
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