Foundational Datasets and Data Products Summary#
Foundational Datasets#
Foundational Datasets refer to all datasets used in the analytics prepared for a project. The Foundational Datasets table includes a description of the data and their update frequency, as well as access links and contact information for questions about use and access. Users should not require any datasets not included in this table to complete the analytical work for the Data Good.
Following is list of all Foundational Datasets used in this Data Good:
Note
Project Sharepoint links are only accessible to the project team. For permissions to access these data, please write to the contact provided. The Development Data Hub is the World Bank’s central data catalogue and includes meta-data and license information.
Where feasible, all datasets that can be obtained through the Development Data Hub have been placed in a special collection: forthcoming
ID |
Name |
License |
Description |
Update Frequency |
Access |
Contact |
---|---|---|---|---|---|---|
1 |
Morocco - Subnational Administrative Boundaries |
Open |
Admin boundaries up to level 3 |
Every year (Last updated in 27 February 2023) |
Sahiti Sarva, Data Lab |
|
2 |
Morocco Subnational Admin Boundaries |
Open |
Admin levels upto 4 |
No update frequency |
Sahiti Sarva, Data Lab |
|
3 |
Meta Network Connectivity Maps during crisis |
Proprietary |
Timestamped at Bing Tile Level 16 (~600m) |
Daily after the earthquake until September 20th |
||
4 |
Business Activity Trends |
Proprietary |
Change in Business Trends from Facebook page activity aggregated at Admin level 2 |
Daily after the earthquake until September 20th |
||
5 |
USGS Earthquake Intensity Maps |
Open |
ShakeMap data that shows impact felt from earthquake in Modified Mercelli Intensity Scale |
No update frequency |
||
6 |
Google Trends |
Proprietary |
API to query change in Google search terms |
Weekly |
||
7 |
High Resolution Population Density |
Proprietary |
Population density at 30m resolution obtained through applying algorithms on satellite imagery, existing census data |
No update frequency |
||
8 |
Atlas AI Human Settlement Maps |
Proprietary |
A scaled estimate of the extent of human presence in each 100 square meter unit area, inferred from buildings and a vector representation of the built-up surface, spatially aggregated within a 50m radius. |
No update frequency |
||
9 |
Microsoft Building Footprints |
Open |
Worldwide building footprints derived from satellite imagery |
No update frequency |
Sahiti Sarva, Data Lab |
|
10 |
OpenStreetMaps Points of Interest |
Open |
Crowdsourced data on points of interest such as financial services, healthcare and tourist locations |
No update frequency |
Sahiti Sarva, Data Lab |
|
11 |
Night Time Lights |
Open |
Night Time Lights data gathered through satellite imagery |
Daily |
[Rob Marty](mailto: rmarty@worldbank.org), DIME |
|
12 |
Premise Surveys |
Proprietary |
Crowdsourced surveys that gather information about community needs, earthquake relief, health care access and fuel prices |
No update frequency |
||
13 |
Global Aviation Dashboard |
Accessible to World Bank Staff |
Visualizes aggregated data on commercial flight movements around the world. The dashboard is powered by a unique dataset that draws on information supplied by flightradar24, ch-aviation, and various other sources |
Weekly |
Andrew Beath, IFC |
Data Products Summary#
Data Products are produced using the Foundational Datasets and can be further used to generate indicators and insights. All Data Products include documentation, references to original data sources (and/or information on how to access them), and a description of their limitations.
Following is a summary of Data Products used in this Data Good
ID |
Name |
Description |
Limitations |
Foundational Datasets Used |
---|---|---|---|---|
A |
Observed Electricity Usage at Night |
By comparing pre- and post-earthquake nighttime light data, we identify changes in availability of electricity, mass movements of people, and changes in oil refining (through flaring) |
This data is obtained using satellite imagery and can be subject to cloud cover and have high values in locations where there is gas flaring |
2, 11,5 |
B |
Observed Change in Critical Needs |
Survey data from Premise and results from Google search trends are combined to udnerstand the needs of people in earthquake impacted areas |
Premise data has low representativeness due to few citizens surveyed. |
12,6,5,2 |
C |
Observed Change on Economic Activity |
Changes in observed economic activity based on Facebook Page activity broken down by sector |
The data is from Facebook pages, which means posts which make mentions of solidarity for people impacted during the earthquake will also be counted. Not all business have Facebook pages either |
4,5,2 |
D |
Damage Assessment from the Earthquake |
Potential impact to people (broken down by demograpohic), infrastructure, internet connectivity |
The building footprints dataset are taken from satellite imagery which is subject to accuracy issues owing to Morocco being a desert region and cloud cover. Internet connectivity from Meta is only for active Facebook users. |
10,9,8,7,5,3,2 |