Geographic boundaries of second-level administrative regions for countries that have a lot of special economic zones.

berkeley.edu-administrative_boundaries-1.1.1. Modified 2021-07-12T20:47:26

Resources | Packages | Documentation| Contacts| Data Dictionary

Resources

vietnam_political. Adminstrative boundaries of Vietnam, 2007
china_city. City Boundaries of China, 2012
skorea_admin2. Second-level Administrative Divisions, South Korea, 2015
china_admin2. Second-level Administrative Divisions, China, 2015
vietnam_admin2. Second-level Administrative Divisions, Vietnam, 2015
turkey_admin2. Second-level Administrative Divisions, Turkey, 2015
philippines_admin2. Second-level Administrative Divisions, Philippines, 2015
indonesia_admin2. Second-level Administrative Divisions, Indonesia, 2015
colombia_admin2. Second-level Administrative Divisions, Colombia, 2015

Documentation

A collection of second level administrative boundaries, by country, for a select group of countries ( the countries that have the most special exconomic zones. )

The China city boundaries file was loaded into QGis from Berkeley’s Web Feature Service, then saved as CSV with WKT geometries, but the rest are direct links to Berkeley’s geographic file store.

Licenses and Descriptions

Many of the dataset included in this package have use restrictions that are described on the download page on Berkeley’s repository.

City Boundaries, China, 2012

Author(s): All China Marketing Research Co., Ltd. Description: This polygon dataset represents city boundaries in China from 2012. The attribute table includes the GB codes and names in Chinese and English (Pinyin). All data is copyrighted by China Data Center and/or its suppliers. Derived works that include the source data must be merged with other value-added data in such a way that the derived work cannot be converted back to the original source data format. This data is licensed by UC Berkeley for research, educational, and other non-commercial use by authorized users, which include persons affiliated with UC Berkeley and walk-in users who must access the data in person at the library.The data sources for the layers in the collection “Administrative Boundary Maps of China, 1949-2014” include the following primary sources: “The Historical Changes of Administrative Regions of China, 1949-1983” (three volumes); 《中华人民共和国县级以上行政区沿革》（三册，1949-1983年）“The Atlas of Changes of Administrative Regions of China”;《中华人民共和国行政区划沿革地图集》The yearly publications of “The Administrative Regions”, 1985-2014; 每年的出版行政区划简册（1985-2014年）The web site for administrative regions: www.xzqh.org; 行政区划网www.xzqh.org

Documentation Links

Documentation Page
China city Boundaries Data repository page for China Boundaries, 2012
Vietnam Political Boundaries Data repository page for Vietnam Boundaries, 2008
Vietnam administrative divisions Second-level Administrative Divisions, Vietnam, 2015
China Administrative Divisions Second-level Administrative Divisions, China, 2015
South Korea administrative boundaries Data repository page for Second-level Administrative Divisions, South Korea, 2015
Turkey administrative divisions Second-level Administrative Divisions, Turkey, 2015
Philipines administrative divisions Second-level Administrative Divisions, Philippines, 2015
Indonesia administrative divisions Second-level Administrative Divisions, Indonesia, 2015

Contacts

Wrangler
Eric Busboom, Civic Knowledge

Data Dictionary

vietnam_political

Column Name	Data Type	Description
id	integer
f_code	string
f_code_des	string
acc	integer
acc_descri	string
use	integer
use_descri	string
soc	string
tile_id	integer
edg_id	integer
geometry	string

china_city

Column Name	Data Type	Description
geometry	string
dcode	integer
city_ch	text
city_en	text
pcode	integer
prov_ch	text
prov_en	string

skorea_admin2

Column Name	Data Type	Description
id	integer
id_0	integer
iso	string
name_0	string
id_1	integer
name_1	string
id_2	integer
name_2	string
hasc_2	unknown
ccn_2	integer
cca_2	unknown
type_2	string
engtype_2	string
nl_name_2	text
varname_2	string
geometry	string

china_admin2

Column Name	Data Type	Description
id	integer
id_0	integer
iso	string
name_0	string
id_1	integer
name_1	string
id_2	integer
name_2	text
hasc_2	unknown
ccn_2	integer
cca_2	unknown
type_2	text
engtype_2	string
nl_name_2	text
varname_2	text
geometry	string

vietnam_admin2

Column Name	Data Type	Description
id	integer
id_0	integer
iso	string
name_0	string
id_1	integer
name_1	text
id_2	integer
name_2	text
hasc_2	string
ccn_2	integer
cca_2	unknown
type_2	text
engtype_2	string
nl_name_2	unknown
varname_2	text
geometry	string

turkey_admin2

Column Name	Data Type	Description
id	integer
id_0	integer
iso	string
name_0	string
id_1	integer
name_1	text
id_2	integer
name_2	text
hasc_2	string
ccn_2	integer
cca_2	unknown
type_2	string
engtype_2	string
nl_name_2	unknown
varname_2	text
geometry	string

philippines_admin2

Column Name	Data Type	Description
id	integer
id_0	integer
iso	string
name_0	string
id_1	integer
name_1	string
id_2	integer
name_2	text
hasc_2	string
ccn_2	integer
cca_2	integer
type_2	string
engtype_2	string
nl_name_2	unknown
varname_2	text
geometry	string

indonesia_admin2

Column Name	Data Type	Description
id	integer
id_0	integer
iso	string
name_0	string
id_1	integer
name_1	string
id_2	integer
name_2	string
hasc_2	string
ccn_2	integer
cca_2	unknown
type_2	string
engtype_2	string
nl_name_2	unknown
varname_2	string
geometry	string

colombia_admin2

Column Name	Data Type	Description
id	integer
id_0	integer
iso	string
name_0	string
id_1	integer
name_1	text
id_2	integer
name_2	text
hasc_2	string
ccn_2	integer
cca_2	unknown
type_2	string
engtype_2	string
nl_name_2	unknown
varname_2	text
geometry	string

Packages

s3 s3://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1.csv
csv http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1.csv
source https://github.com/sandiegodata-projects/chartercitiesinstitute.org-sez

Accessing Data in Vanilla Pandas

import pandas as pd


vietnam_political_df =  pd.read_csv('http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1/data/vietnam_political.csv')
china_city_df =  pd.read_csv('http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1/data/china_city.csv')
skorea_admin2_df =  pd.read_csv('http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1/data/skorea_admin2.csv')
china_admin2_df =  pd.read_csv('http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1/data/china_admin2.csv')
vietnam_admin2_df =  pd.read_csv('http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1/data/vietnam_admin2.csv')
turkey_admin2_df =  pd.read_csv('http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1/data/turkey_admin2.csv')
philippines_admin2_df =  pd.read_csv('http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1/data/philippines_admin2.csv')
indonesia_admin2_df =  pd.read_csv('http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1/data/indonesia_admin2.csv')
colombia_admin2_df =  pd.read_csv('http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1/data/colombia_admin2.csv')

Accessing Package in Metapack

import metapack as mp
pkg = mp.open_package('http://library.metatab.org/berkeley.edu-administrative_boundaries-1.1.1.csv')

# Create Dataframes
vietnam_political_gdf = pkg.resource('vietnam_political').geoframe()
china_city_gdf = pkg.resource('china_city').geoframe()
skorea_admin2_gdf = pkg.resource('skorea_admin2').geoframe()
china_admin2_gdf = pkg.resource('china_admin2').geoframe()
vietnam_admin2_gdf = pkg.resource('vietnam_admin2').geoframe()
turkey_admin2_gdf = pkg.resource('turkey_admin2').geoframe()
philippines_admin2_gdf = pkg.resource('philippines_admin2').geoframe()
indonesia_admin2_gdf = pkg.resource('indonesia_admin2').geoframe()
colombia_admin2_gdf = pkg.resource('colombia_admin2').geoframe()