SEZ Lights, Rings and Buffers – SDRDL Data Repository

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.

Here is an example of the buffer and ring for an SEZ in South Korea:

This file can be joined to the SEZ data on the unique_id column. For each SEZ and year of the NTL data, this file includes the sum of the pixel values from the NTL rasters for both the ring and the buffer, and the radius specified in the radius column. The *_count column is the number of non-null pixels in each region.

Example Analysis

See this Jupyter notebook for an example of using this file.

Documentation Links

Documentation Page

Images

Example of a 5km buffer and the ring around it.

Contacts

Wrangler
Eric Busboom, Civic Knowledge

Data Dictionary

mean_lights

Column Name	Data Type	Description
year	integer	Year of night time lights data
unique_id	string	Unique id for the SEZ
buffer_pix_sum	integer	Sum of the pixel values for pixels within radius of SEZ point
buffer_pix_count	integer	Number of non-null pixels in buffer region
ring_pix_sum	integer	Sum of pixel values in ring area, outsize of buffer area. Area of ring is equal to area of the buffer.
ring_pix_count	integer	Number of non-null pixels in ring region
buffer_area	number	Area of buffer area in square meters
ring_area	number	Area of ring area in square meters
radius	integer	Radius of buffer circle, and inner radius of ring.

References

Urls used in the creation of this data package.

metapack+http://library.metatab.org/worldbank.org-sez-1.1.1.csv#sez. SEZ Locations and data
metapack+http://library.metatab.org/figshare.com-harmonized_ntl-1.1.1.csv. Harmonized Nighttime lights

Packages

s3 s3://library.metatab.org/sandiegodata.org-sez_lights-1.1.2.csv
csv http://library.metatab.org/sandiegodata.org-sez_lights-1.1.2.csv
source https://github.com/metatab-packages/sandiegodata.org-sez_lights.git

Accessing Data in Vanilla Pandas

import pandas as pd


mean_lights_df =  pd.read_csv('http://library.metatab.org/sandiegodata.org-sez_lights-1.1.2/data/mean_lights.csv')

Accessing Package in Metapack

import metapack as mp
pkg = mp.open_package('http://library.metatab.org/sandiegodata.org-sez_lights-1.1.2.csv')

# Create Dataframes
mean_lights_df = pkg.resource('mean_lights').dataframe()