Data from a well-known map base data

The vector data provided this time is based on the well-known map navigation base data collected by friends. The data content is rich. Basically, the vector data of hotels, communities, teahouses, meals, gas stations and other points are included in the data set, so that everyone can navigate more accurately and carefully. It also includes linear data of rivers, streams (including the little river in front of your house), streets, highways, provincial roads, railways, sidewalks and so on, as well as green area, provincial, municipal, lake and so on.

There are also some undescribed points, lines and surfaces vector data, such as parking lots, banks, hospitals, government units, county boundaries, residential communities, villages and so on, which adopt unified files.

This time from the network download collection. The copyright belongs to the publisher or the original author. This public account is not responsible for copyright problems, please cooperate with our work, please delete the resources within 24 hours after receiving, recommend to buy and use legitimate information.

There are too many villages in the country, the text is not displayed (click file)

National Roads (Line File)

National Highways (Line file)

National Sidewalks (mainly in urban line files)

Distribution of Residential areas in China (Point files)

Distribution of hospitals nationwide (point document)

National Township Roads (Line Files)

National Provincial Road (Line file)

National County Roads (Line files)

National Bank site (point file)

National Government Units (point file)

National Hotels and Guesthouses (click file)

National Schools (click file)

1. Data source: Internet

2. The data are collected from domestic websites, and the accuracy of the data cannot be guaranteed

3. This data is only used for learning purposes and cannot be used for commercial purposes

4, this public account is only responsible for the collection and sorting of data, can not guarantee the accuracy and accuracy of data and timeliness.

5, if the data is infringing, please inform us, we delete the data as soon as possible.

Data acquisition:

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