Terra Pop Vision An organizational and technical framework

Terra. Pop Vision An organizational and technical framework to preserve, integrate, disseminate, and analyze global-scale spatiotemporal data describing population and the environment. Develop tools to make data interoperable across data formats and subject areas Break down disciplinary silos

Terra. Pop Goals Lower barriers to conducting interdisciplinary humanenvironment interactions research by making data with different formats from different scientific domains easily interoperable

Source Data • • • DOMAINS & FORMATS POPULATION MICRODATA AREA-LEVEL DATA

Making disparate data formats interoperable Microdata: Characteristics of individuals and households Area-level data: Characteristics of places defined by boundaries Raster data: Values tied to spatial coordinates

Age Sex Relationship Race Birthplace Mother’s birthplace Occupation Microdata Structure Geographic and housing characteristics Household record (shaded) followed by a person record for each member of the household For each type of record, columns correspond to specific variables

Khartoum, CBS-Sudan

1973 Census Tapes arrive at Muller Media (New York) via Barcelona

Dhaka, Bangladesh Bureau of Statistics

The Power of Microdata Customized measures: Variables based on combined characteristics of family and household members, capitalizing on the hierarchical structure of the data Multivariate analysis: Analyze many individual, household, and community characteristics simultaneously Interoperability: Harmonize data across time and space Age classification for school enrollment in published U. S. Census

Growth of Public-Use Microdata (number of person-records available) We are Here

IPUMS-International Microdata Over 100 Collaborating National Statistical Agencies

Area Level (Vector) Data Describing characteristics of geographic polygons Median Household Income by Census Tract

Area-level Data Sources Census tables, especially where microdata is unavailable Other types of surveys, data Agricultural surveys Economic surveys, data Election data Disease data Legal/policy information Environmental policy Social policy Human rights

Raster Data Represented as pixels in a grid Mean Precipitation

Raster Data Beta system Global Land Cover 2000 Harvested Area and Yield for 175 crops (Global Landscapes Initiative) Temperature and precipitation (World. Clim) Future additions Additional LU/LC and climate datasets Elevation Vegetation characteristics Bioclimatic & ecologic zones

Location-Based Integration MICRODATA AREA-LEVEL RASTER

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

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

Location-Based Integration Microdata County ID G 17003100001 G 17003100002 G 17003100003 G 17003100004 G 17003100005 G 17003100006 G 17003100007 Rasters Mean Ann. Max. Ann. Rent, Own, Temp. Precip. Rural Urban 21. 2 23. 4 24. 3 21. 5 24. 1 24. 4 25. 6 768 589 867 943 867 697 701 3129 1063 637 2949 1075 1469 3418 1589 1108 1882 425 202 2416 572 426 2560 934 950 2126 653 321 365 717 617 142 197 563 215 Summarized environmental and population characteristics for administrative districts Area-level data

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

Area-Level Summary of Raster Data

Rasterization of Area-Level Data

Rasterization Beta system – Uniform distribution assumption Use lowest level units available Rates – same value for all cells in unit Counts – evenly distributed across cells in unit Future – Distribute based on ancillary data Requires research on available methods May provide as service – users select: Ancillary data Weights Spatial distribution parameters

Data Access System

General Workflow Browse variables and metadata Select variables and datasets View data cart contents Select output options

Prototype Data Access System

Variable Groups

Variable Browsing

Variable Metadata

To join the beta test email terrapop@umn. edu