geojson全国各省市区地图json数据

Posted 2022-11-26 键盘tops舞者

geojson全国各省市区地图json数据(目前仅到全国、省、市、区级别，无法到乡、镇、社区)，现在尚未验证是高德or百度坐标系，预计阿里系应该是gcj-02坐标，有验证的小伙伴可回复下，嘿嘿

 

 

json数据获取地址：

http://datav.aliyun.com/tools/atlas/#&lat=31.769817845138945&lng=104.29901249999999&zoom=4

测试json数据地址，并且可以转化为shape格式文件：

https://mapshaper.org/

直接将json数据拖入即可，并可导出shape图层

 

全国的json数据，写了一个python程序获取下来了，有需要的可以下载来用：

 

 

python代码如下：

# 请求库

import requests

# 解析库

# from bs4 import BeautifulSoup

# 用于解决爬取的数据格式化

import io

import sys

import json

 

 

# 创建文件

# file_path：文件路径

# msg：即要写入的内容

def create_file(file_path, msg):

    with open(file_path, "wt", encoding="utf-8") as out_file:

        out_file.write(msg)

 

 

sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')

req = requests.get('https://geo.datav.aliyun.com/areas_v2/bound/100000_full.json')

req.encoding = 'utf-8'

result = json.loads(req.text)

 

# 写入文件

# with open('../geo_json/100000_全国_full.json', 'w') as file_obj:

#    json.dump(result, file_obj)

 

dict_area = dict()

dict_area['100000'] = '全国'

# 可写入带格式化后的json对象

create_file('../geo_json/100000_full.json', req.text)

# 读取并加载json文件 json.loads(操作的是字符串)，json.load()操作的是文件流

with open('../geo_json/100000_full.json', 'r', encoding="utf-8") as file_obj:

    geo_json = json.load(file_obj)

    print('read result is :')

    print(geo_json)

    features = geo_json["features"]

    i = 0

    for province_feature in features:  # 循环各省

        adcode = str(province_feature["properties"]["adcode"])

        name = province_feature["properties"]["name"]

        dict_area[adcode] = name

        print('name0 is 1, adcode is 2'.format(i, name, adcode))

        i = i + 1

        if adcode[4:] != '00':  # 直辖市的下一级别直接是区，没有市级别

            continue

 

        # 省份的url_json获取,获取省,及省内城市json

        province_full_url = 'https://geo.datav.aliyun.com/areas_v2/bound/0_full.json'.format(adcode)

        province_full_json = json.loads(requests.get(province_full_url).text)

        city_features = province_full_json["features"]

        j = 0

        for city_feature in city_features:  # 循环各市

            city_adcode = str(city_feature["properties"]["adcode"])

            city_name = city_feature["properties"]["name"]

            dict_area[city_adcode] = city_name

            print('name0-1 is 2, adcode is 3'.format(i, j, city_name, city_adcode))

            j = j + 1

 

# 遍历字典

for area in dict_area.keys():

    print(':', area, dict_area[area])

    area_url = 'https://geo.datav.aliyun.com/areas_v2/bound/0.json'.format(area)

    req = requests.get(area_url)

    create_file('../geo_json/0_1.json'.format(area, dict_area[area]), req.text)

 

    area_full_url = 'https://geo.datav.aliyun.com/areas_v2/bound/0_full.json'.format(area)

    print(area_full_url)

    req = requests.get(area_full_url)

    if req.text.find("NoSuchKey") == -1:

        create_file('../geo_json/0_1_full.json'.format(area, dict_area[area]), req.text)

 

# json文件说明

# 中国json https://geo.datav.aliyun.com/areas_v2/bound/100000.json

# 中国+各省市json https://geo.datav.aliyun.com/areas_v2/bound/100000_full.json

# 山东省边界json   https://geo.datav.aliyun.com/areas_v2/bound/370000.json

# 山东省+省内地级市json   https://geo.datav.aliyun.com/areas_v2/bound/370000_full.json

# 德州市边界json https://geo.datav.aliyun.com/areas_v2/bound/371400.json

# 德州市+内部辖区json https://geo.datav.aliyun.com/areas_v2/bound/371400_full.json

 

# create_file('../geo_json/full.json', result)

# 读取并加载json文件