Service Description: Population change linear regression over time calculated for GADM admin level 1 units (updated to April 27, 2022).
Service ItemId: aed5a18579e7495da68919aead463176
Has Versioned Data: false
Max Record Count: 2000
Supported query Formats: JSON
Supports applyEdits with GlobalIds: False
Supports Shared Templates: True
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Description: This data shows the population change over the latest 7 days when Population Density data from Meta are available. The change is calculated using a linear regression over the daily data showing population change from 1600 to 2359 hrs UTC.
Hotspots, or areas of interest, are visualized using the following color levels:
- Decreasing of population density change are shown in brown, which signify a small but consistent decrease in population density in these regions. Three shades of brown indicates statistical significance from the linear regression applied to detect the trend over time (p < 0.1, p < 0.05, p < 0.01).
- Increasing levels of population density changes are shown in cyan, which indicates a small but consistent increase in population densities in these regions. Three shades of cyan indicates statistical significance from the linear regression applied to detect the trend over time (p < 0.1, p < 0.05, p < 0.01).
This analysis of population density changes uses anonymized and aggregated Meta (Facebook) data can indicate that people are leaving or coming-into a specific location at the time period of the analysis. This is not necessarily indicative of specific forced displacement, but likely one of the following scenarios from our remote analyses:
- Seasonal changes
- Fluctuations in the general population
- Changes in population, which may be related to displaced people from Ukraine
Copyright Text:
Spatial Reference: 102100 (3857)
Initial Extent:
XMin: 374386.153262245
YMin: 4823459.14758955
XMax: 4221077.15345361
YMax: 7866363.96863645
Spatial Reference: 102100 (3857)
Full Extent:
XMin: 1345937.27217398
YMin: 5047038.00410737
XMax: 3357812.19480717
YMax: 7330182.71796123
Spatial Reference: 102100 (3857)
Units: esriMeters
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