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Key Risk Drivers Map

The Key Risk Drivers visualization is a map that is able to display a number of layers, each displaying a factor that may lead to acute food insecurity. Data options include conflict, migration, weather, and trade flow in addition to near term projections and population.

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Use the following guidelines to create a Key Risk Drivers visualization.

* = typically required for reports

Standard visualization fields

Internal Title: This field is optional and will not show up in the report. You may use it to help you quickly identify a specific visualization in your report in the CMS.

*Alt Text: Provide a brief description of what the visualization shows. Learn more about writing alt text for FEWS NET visualizations.

*Show Figure Label: If the visualization is referred to in the text of the report and needs a figure number (i.e. Figure 1), make sure this toggle is turned on. Keep this toggle off for visualizations being used in country and region pages.

*Pick a visualization type: Choose Key Risk Drivers Map.

Visualization specific fields

*Country/region fields

Select an item from one of these dropdown boxes. Do not select both a country and a geographic group.

Select a country: Select a country if you are creating a country report.

Select a geographic group: Select a geographic group if you are creating a regional report.

Data layers

Select data layers: Select one or more of the following options. Only one of these layers will show up on the map at a time. The user can control the layer shown via a drop down menu. Data in these layers will change when the timeline slider is moved.

  • ACLED Conflict Data

  • IOM Migration Flow Data (Migration flows internal to a country)

  • IOM Cross Border Movement (Migration flows across countries)

  • No Data Selected (No data will be shown and the map will have no title.)

Select base layers: Select one or more of the following options. A user can select and view any number of these layers at the same time. The user can control the layers shown via a button on the map. These are called base layers because the data in these layers will NOT change when the timeline slider is moved.

  • Near Term Projection (Most recent FEWS NET Acute Food Insecurity Near Term Projection)

  • Population (LandScan, 2022)

  • Flood Detection (Shows floodwater amounts and moisture types)

  • CHIRPS Anomaly 2023 (3 month precipitation anomaly in July - Sept 2023)

  • CHIRPS Anomaly 2015 (3 month precipitation anomaly in July - Sept 2015)

  • NDVI eVIIRS PCTM 2023 (Percent of mean NDVI over a pentad in 2023)

  • NDVI eVIIRS PCTM 2015 (Percent of mean NDVI over a pentad in 2015)

  • Trade Flow Layers (Shows staple crop trade flows within and across countries)

  • Observed Heat Exposure 2000 - 2016 (The average number of million-person extreme heat days per year in 2000 - 2016. Learn more about our Heat Exposure layers.)

  • SSP245 Heat Exposure 2050 (Represents the medium pathway of future greenhouse gas emissions. This scenario assumes that climate protection measures are being taken. Learn more about our Heat Exposure layers.)

  • SSP585 Heat Exposure 2050 (Represents the upper boundary of the range of climate change scenarios described in the literature. Learn more about our Heat Exposure layers.)

Select displayed data layer: Select the data layer that will be shown by default when the map loads.

Select displayed base layer: Select the base layer that will be shown by default when the map loads.

Auto-generated fields

All of these fields will be automatically generated but can be overridden if desired.

Visualization title: The auto-generated title will be formatted as follows:


Formula

Example

Title

{Conflicts/Migration of Internally Displaced People/Cross-Border Movement} in {Country or Region}

Cross-Border Movement in Sudan

Conflicts in East Africa

Subtitle

{Next month, Previous year} - {Current month, year}

April 2023 - March 2024

Disclaimer: This is blank by default for this chart. However, it can be used to add a custom disclaimer when required (e.g., to explain missing data).

Source Attribution: The auto-generated source attribution is a compilation of the data source organization names stored in FDW for the data used to create the map.

Generate the visualization

*+Generate URL: Click this button once you have filled out the fields above to generate the visualization. The system will provide a thumbnail of the visualization and a URL where you can preview the visualization. Note: It may take a minute to generate the thumbnail image. Make sure you allow the thumbnail to load before saving the visualization.

The system will automatically populate the remaining fields: Data Visualization Type, Primary URL, Image URL, and JSON Configuration. These SHOULD NOT be edited.

PDF formatting options

Show full width in PDF: By default, this toggle should be turned off. You may want to show a visualization in full width if you have a very detailed chart that needs to be larger than 50% of the page width.

Float Position: Sets the orientation data visualizations that are not full width. Defaults to Right. For side-by-side images, set the first image to Left. For full width images, set to None.