Map Documentation

We present here a concise overview of the data layers that have been added to the Your VCCA Nigeria map. For details on the respective sources and preprocessing steps please refer to https://engrxiv.org/preprint/view/2469/version/3608

The solar radiance layer displays solar radiation levels which encompass both direct and diffused solar radiation at the earth’s surface for each  month of 2021 (in W/m2). The data has been downloaded from the ERA5 database ( http://(https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview, last download: March 18th, 2022). The data has a spatial resolution of approximately 30 km (0.25° latitude and 0.25° longitude). The parameter’s name is “Total sky direct solar radiation at surface”, and the name of the dataset is “ERA5 hourly data on single levels from 1979 to present”.

License: See ‘License’ tab at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview

The monthly temperature of 2021 has been downloaded from the ERA5 database ( https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=form , last download: March 18th, 2022). The spatial resolution is approximately 30 km (0.25 º latitude and 0.25 º longitude). The parameter’s name is “2m temperature,” and the name of the dataset is “ERA5 hourly data on single levels from 1979 to present”. The original dataset is in K and converted to °C.
License: See ‘License’ tab at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview

The monthly precipitation data for the year 2021 has been downloaded from the ERA5 database ( https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=overview , last download: March 18th, 2022). The spatial resolution is approximately 30 km (0.25° latitude and 0.25° longitude). The parameter name is “Maximum total precipitation rate since previous post-processing “ and the name of the dataset is “ERA5 hourly data on single levels from 1979 to present”. The original dataset is in m and was converted to mm/day.
License: See ‘License’ tab at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview

Elevation (in meters) was sourced from the Japan Aerospace Exploration Agency (JAXA) Earth Observation Research Center. The data was prepared by JAXA as part of the ALOS World 3D – 30m (AW3D30) dataset, a global digital surface model (DSM) dataset with 30 meters resolution, and imported directly into Google Earth Engine ( https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_AW3D30_V3_2).
License: https://earth.jaxa.jp/en/data/policy/index.html

Crop production statistics have been sourced from the official report of the National Agricultural Sample Survey (NASS) of 2010. NASS is an annual survey that fills in the gap of National Agricultural Sample Census (NASC) that is supposed to be conducted every ten years as recommended by the Food and Agriculture Organization of the United Nations (FAO). The survey had a sample set of approximately 35,000 farming households nationwide with statistics being presented at the state-level (approximately 1000 farming households per state). Displayed data shows crops of interest and refers to the year 2010. The survey report has been downloaded from ( https://nigerianstat.gov.ng/elibrary/read/66 , last download: February 28th, 2022) For visualization, the data has been merged with the administrative layer at the state level. This administrative layer is a shapefile of Nigeria showing the state administrative boundaries as of the year 2020. The administarive boundaries have been downloaded from  https://grid3.gov.ng/dataset/national-state-administrative-boundaries/resources , last download: October 20th, 2021. Note that crop production statistics presented in this layer are not true state statistics but results from the NASS survey of 2010 with a sample set of approximately over 35,000 farming households in the country.
License: See ‘Terms & conditions’ tab at https://nigerianstat.gov.ng/page/terms

This layer displays the posterior mean population estimates for each Local Government Area (LGA) in Nigeria (in number of people per LGA). The data was sourced from the official website of GRID3 Nigeria (Geo-referenced infrastructure and demographic data for development) and released on the 26th of March, 2020. The data was downloaded from GRID3 on March 18th, 2022  (https://grid3.gov.ng/dataset/national-population-estimates/resources)
License: Creative Commons Attribution 4.0 International

This layer displays the predicted location of electricity network lines, as computed in Arderne et al., 2020 ( https://doi.org/10.1038/s41597-019-0347-4) using satellite imagery of night-time lights and OpenStreetMap data. Data has been downloaded from https://zenodo.org/record/3628142 (last download: October 8th, 2021) and represents (vectorized) predicted distribution and transmission line network, together with existing OpenStreetMap lines. Please refer to the original paper for additional information on data collection and accuracy.
License:  Creative Commons Attribution 4.0 International

This layer represents geolocated data corresponding to over 11,000 markets across Nigeria for the year 2020. The data has been downloaded from the official GRID3 Nigeria website ( https://grid3.gov.ng/dataset/national-markets/resources, last download: March 18th, 2022).
License: Unknown

The predicted gain of shelf life (in days) is obtained by comparing active cooling at the optimal temperature of the corresponding crop to keeping the crop at ambient temperature. The shelf life at the ambient temperature was calculated using the kinetic rate model using temperature (please refer to https://doi.org/10.5281/zenodo.5839900 for more details). The optimal temperature for a corresponding crop was obtained from the FAO (http://www.fao.org/3/y4893e/y4893e06.htm , last download: December 14th, 2020).
License: Creative Commons Attribution 4.0 International

This layer was sourced from the Environmental systems research institute (ESRI) geodatabase for global landcover (11 classes). This is a database consisting of GeoTIFF scenes for all land masses on the planet grouped into 11 classes and offered at a high spatial resolution of 10 meters for the year 2021. The GeoTIFF tiles have been downloaded from https://www.arcgis.com/apps/instant/media/index.html?appid=fc92d38533d440078f17678ebc20e8e2 (last download: May 1st, 2022), merged and clipped to the extent of Nigeria.
License: Creative Commons Attribution 4.0 International

This layer represents the grouping of Nigeria’s Agro-ecological zones into 33 classes. Data was sourced from the global agro-ecological zoning version 4 portal developed by the Food and Agricultural Organization of the United Nations and the International Institute for Applied System Analysis (IIASA). The selected subtheme is Land and water resources. The data has been downloaded from the GAEZ v4 portal ( https://gaez.fao.org/pages/data-viewer , last download: April 29th, 2022) and has a spatial resolution of approximately 9 km (5 arc-minutes). The selected time-frame and Representative Concentration Pathway (RCP) values are 2011 – 2040 and 4.5 respectively. Details about methodology and model development are available on the portal ( https://www.fao.org/documents/card/en/c/cb4744en).
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO

This layer represents the anticipated severity of acute food insecurity for the year 2022 in Nigeria by using the Integrated Food Security Phase Classification (IPC 3.0, https://fews.net/IPC). Classification is done based on individual access to food and income generating activities. The dataset was sourced from the website of the Famine Early Warning Systems Network (FEWS NET), a leading provider of early warning and analysis on acute food Insecurity. The selected projection is the medium-term projection for the months of June to September. The data has been downloaded from FEWS NET ( https://fews.net/content/nigeria-food-security-classification-april-2022-september-2022, last download: April 29th, 2022)
License: Creative Commons Attribution 3.0 United States

The layer displays household water and sanitation access levels across the 36 states in Nigeria including the Federal Capital Territory. The data was extracted from the report of the primary investigation ( https://doi.org/10.2166/washdev.2019.089, last download: May 22nd, 2022). A shapefile of Nigeria showing the state administrative boundaries as of the year 2020 was downloaded from https://grid3.gov.ng/dataset/national-state-administrative-boundaries/resources , last download: October 20th, 2021.  Tabular data was merged with the administrative layer at the state level to aid visualization.
License: Creative Commons Attribution 3.0 IGO

This layer displays the levels of blue water (fresh surface water and groundwater) scarcity in Nigeria on a monthly basis at a spatial resolution of 30 arc minutes (approximately 60 km) for the period 1996 – 2005. Blue water scarcity is expressed as a ratio of blue water footprint in a grid cell to blue water availability in the cell. The data was sourced from a research effort to assess blue water scarcity globally at a high spatial resolution on a monthly basis ( https://doi.org/10.1126/SCIADV.1500323/SUPPL_FILE/1500323_SM.PDF). The datasets are available for download at https://waterfootprint.org/en/resources/waterstat/water-scarcity-statistics/ (last download on May 23rd, 2022 ). The global rasters were clipped to the extent of Nigeria. Details about model development and validation are available in the paper mentioned above.
License: Creative commons attribution

This layer displays the World Mobile Broadband coverage, which is a 1 km resolution raster representation of cellular mobile wireless Internet access. The data has been downloaded from the FAO Map Catalog ( https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/7ee38f75-605f-4c88-9afc-64779e70e595, last download November 17th, 2021). The downloaded raster has been clipped to the extent of Nigeria. Please refer to the original source for additional information on data collection and accuracy.
License: See the ‘Legal constraints’ tab at https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/7ee38f75-605f-4c88-9afc-64779e70e595

This layer displays the best suitable areas for locating new cooling units in Nigeria based on available open-source data. This information is calculated based on the proximity to a market, availability of close-by roads, and proximity to croplands in the region. Note that this map is case-specific and depends on several assumptions on relevant layers and thresholds. In a future release of this application, we plan to make the map more interactive by allowing users to compute promising cold room locations by dynamically deciding which layers to include and their thresholds.

License: Creative Commons Attribution 4.0 International

These charts represent monthly market prices of commodities of interest across the states of Nigeria. The market price datasets were sourced from the official repository of the National Bureau of Statistics (NBS) and contain monthly averaged price data for selected commodities from the year 2017 to 2021. The data is available for download at ( https://nigerianstat.gov.ng/elibrary/read/1241075, last download, April 29th, 2022) . These datasets were downloaded and used to generate time series charts to visualize the seasonal variation in prices of certain fresh produce in markets across Nigeria. The charts can be exported to a new browser window for further analysis.
License: Unknown