POIData.xyz Points of Interest (POI) Geo Data - China - SAMPLE
Provided By: Geolytica
POIData.xyz Points of Interest (POI) Geo Data - China - SAMPLE
Provided By: Geolytica
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.
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Public offer
Payment schedule: Upfront payment | Offer auto-renewal: Supported
$0 for 12 months
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/ |
| 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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Revision access rules
All historical revisions | All future revisions
Name | Type | Data dictionary | AWS Region |
|---|---|---|---|
POIData.xyz Points of Interest (POI) Geo Data - China - SAMPLE Dataset | Not included | US East (N. Virginia) |
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