TerraPop Mission Enabling research, learning, and policy analysis by providing integrated spatiotemporal data describing people and their environment.

TerraPop Partners

Source Data

Data Formats across Domains Microdata: Characteristics of individuals and households Area-level data: Characteristics of places defined by boundaries Raster data: Values tied to spatial coordinates

Census Data – Temporal Depth

Census Data – Geographic Granularity

Environmental Data Land Use & Land Cover  MODIS Land Cover  Global Land Cover 2000  Harvested Area and Yield for 175 crops Climate  Annual bioclimatic variables derived from CRU- TS  Long-term average temperature and precipitation

MICRODATA  AREA-LEVEL  RASTER Location-Based Integration

Microdata Area-level data Rasters Mix and match variables originating in any of the data structures Obtain output in the data structure most useful to you

Location-Based Integration Individuals and households with their environmental and social context Microdata Area-level data Rasters

Location-Based Integration Summarized environmental and population County ID G G G G G G G County ID Mean Ann. Temp. Max. Ann. Precip. G G G G G G G County ID Avg. Ann. Temp. Avg. Ann. Precip. Rent, Rural Rent, Urban Own, Rural Own, Urban G G G G G G G characteristics for administrative districts Microdata Area-level data Rasters

Location-Based Integration Rasters of population and environment data Microdata Area-level data Rasters

Boundaries are Key Linkages across data formats rely on administrative unit boundaries  Containers for summarizing raster data to area-level data  Containers for distributing area-level data to raster cells  Codes link area-level and summarized raster data to microdata Sets of units and codes must match census data

1. Source data 2. Align boundaries 3. Match codes 4. Historical adjustments 5. Harmonize and regionalize Boundary Processing

Source Shapefiles NameProducer Global Administrative Areas (GADM)UC-Berkeley/IRRI/Museum of Vertebrate Zoology Global Administrative Units Layers (GAUL)United Nations Second Administrative Level Boundaries (SALB)United Nations National Statistics and Mapping Agenciesvaries

International Boundary Alignment

NameCode Ariquemes11012 Cabixi11013 Cacoal11014 Code Matching LabelCandidate Codes Cacoa l Census data names & codes Shapefile attribute table Find name in table of census data names/codes Look up census data code and insert in shapefile Edit to fix mismatches Run check to identify remaining issues Use checking script for historical data

Photographed Countries Census Bureau Library, Library of Congress, Harvard

Harmonization & Regionalization Temporal aggregation  Harmonized – Consistent footprint over time via minimal aggregation  Year-specific – Not harmonized Minimum population aggregation  Regionalized – Neighboring units combined to meet minimum population threshold (typically 20,000)  Base – Not regionalized

Extract Builder TerraClip Data Access

Contact USER SUPPORT:

Future Additions Aggregate census data  Historical data (48 countries)  Variables in addition to population by sex (65 countries) Gridded Population of the World Environmental data  CRU monthly time series – precipitation & temperature  Vegetation characteristics – NDVI, greenness  Elevation and derived characteristics  Soils  Species distribution

Harmonization

Regionalization

Population < 20,000

Year-Specific Regionalized Population > 20,000