Sums of pixel values representing nighttime light intensit, for buffers and rings around Special Economic Zones.

sandiegodata.org-sez_lights-1.1.2. Modified 2021-09-13T20:27:23

Resources

• mean_lights. Pixel light sums for buffers and rings around the SEZ.

Documentation

This dataset provides sums of the pixel values in the nighttime lights data in regions around the SEZs from the World Bank’s SEZ dataset. The buffers are a circle for a specified radius around each SEZ, and the rings have a minimum radius of the specific radius, and a maximum radius of (1+sqrt(2)) times larger, so the area of the ring for a radius is equal to the area of the buffer circle.

Temporally calibrated DMSP-OLS NTL time series data from 1992-2013; and converted NTL time series from the VIIRS data (2014-2018) Spatial resolution: 30 arc-seconds (~1km)

figshare.com-harmonized_ntl-1.1.1. Modified 2021-07-12T20:47:57

Documentation

This dataset provides reference links to each of the annual noghtime lights images from a collection of images built from DMSP and VIIRS data, for the years 1992 to 2018.

Documentation Links

• Documentation Page
• Research paper
• Download page

Contacts

• Wrangler

Eric Busboom, Civic Knowledge

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

• 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. )

Information on special economic zones have been individually collected and researched in a study focusing on the governance of SEZ. This is just a subset (586) of the extant global SEZs, which have been estimated at 3500-4000.

worldbank.org-sez-1.1.1. Modified 2021-07-12T20:47:42

Resources

• sez. Special Economic Zones

Documentation

Documentation Links

• Documentation Page
• Dataset webpage
• Dataset viewer web application

Contacts

• Wrangler

Eric Busboom, Civic Knowledge

Data Dictionary

sez

sez

Packages

• s3 s3://library.metatab.org/worldbank.org-sez-1.1.1.csv
• csv https://library-metatab-org.s3.amazonaws.com/worldbank.org-sez-1.1.1.csv
• source https://github.com/sandiegodata-projects/chartercitiesinstitute.org-sez

Accessing Data in Vanilla Pandas

import pandas as pd


sez_df =  pd.read_csv('https://library-metatab-org.s3.amazonaws.com/worldbank.org-sez-1.1.1/data/sez.csv')

Accessing Package in Metapack

import metapack as mp
pkg = mp.open_package('https://library-metatab-org.s3.amazonaws.com/worldbank.org-sez-1.1.1.csv')

# Create Dataframes
sez_gdf = pkg.resource('sez').geoframe()