Terra Populus Overview

1,040 views

Published on

Published in: Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,040
On SlideShare
0
From Embeds
0
Number of Embeds
709
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Terra Populus Overview

  1. 1. RATIONALE
  2. 2. The storage in a smart phone would cost (in 2011 dollars) $7,571 in 2001 $212,040 in 1991 $3,796,800 in 1981$56,168,800 in 1971$1,233,179,000 in 1961
  3. 3. The Explosion of Scientific DataBecause of the massive decline in the cost of datacollection, storage, and analysis, the quantity of scientificdata being collected is growing at an extraordinary pace New opportunities for analysis New methods are being applied Marked acceleration in the pace of discovery
  4. 4. The Big ChallengesThe quantity of scientific data is exploding, but we lackbasic infrastructure to maintain them or capitalize onopportunities for analysis and discovery Most scientific data is at risk of loss Most scientific data is inaccessible Metadata are usually incomplete and inadequate Little interoperability across datasets or data types Data are trapped in disciplinary silos
  5. 5. Why Population and Environment? Massive Planetary Change between 1950 and 2000 Population  population doubled  economy grew seven-fold Agriculture  food consumption tripled  water use tripled Energy use  fossil fuels increased four-fold
  6. 6. The Temporal Dimension TerraPop World Population, 1000-2000 6000 5000Population (millions) 4000 3000 2000 1000 0 1000 1200 1400 1600 1800 2000 Year
  7. 7. TerraPop GoalsProvide an organizational and technical framework topreserve, integrate, disseminate, and analyze global-scale spatiotemporal data describing population and theenvironment.
  8. 8. Primary ObjectiveLower barriers to conducting interdisciplinary human-environment interactions research by making data withdifferent formats from different scientific domains easilyinteroperable Population microdata Government land-use statistics Land cover data from satellite imagery Historical climate records (temperature, precipitation, cloud cover)
  9. 9. TerraPop Collaborating Organizations
  10. 10. Project Elements1. Archival Development2. Data Integration, Dissemination, and Analysis3. Education and Outreach4. Organizational Development
  11. 11. 1. Archival Development Collect, integrate, describe, and preserve data describing changes in the world’s population and environment.
  12. 12. Data Collection: Initial Population Data Sources Population microdata from censuses Focus on Brazil and Malawi
  13. 13. Age Birthplace Sex Mother’s birthplace Relationship Race OccupationH910000240000000088001001000220100P910000020101032120010010010011504 PopulationP910000010201036220010010010011999P910201000301011220060010010011999 MicrodataP 9 1 0 2 0 1 0 0 0 3 0 1 0 0 9 1 2 0 0 6 0 0 1 0 0 1 0 0 1 1 9 9 9 Geographic and housing StructureP 9 1 0 2 0 1 0 0 0 3 0 1 0 0 7 1 2 0 0 6 0 0 1 0 0 1 0 0 1 1 9 9 9 characteristicsP910201000301006120060010010011999P910201000301004220060010010011999 Household recordP910201000301003220060010010011999P910201000301002220060010010011999 (shaded) followedH910000240000000088001001000110100 by a person recordP910000020101030110010290510511310P910000010201021210010290290171999 for each memberP910201000301001110060010290291999 of the householdH910000240000000088001001000220100P910000020101045120010010010011100P910000010201025220010010010011820 For each type ofP910201000301007220060010010011999H910000240000000088001001000220100 record, columnsP910000020101049120010010010011100 correspond toP910000010201049220010010010011820P910201000301019220060010010011820 specific variablesP910201000301015220060010010012820
  14. 14. 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 For each person, detailed information about geographic Age classification for school enrollment location, economic activities,U.S. Census for School Enrollment Tablepublished educational attainment, in 2. Age Classifications literacy, fertility history, child mortality, migration,Imputed 1970 1990 Common place of former residence, marital status, consensual unions, 3-4 3-4 3-4 3-4 5-6 5-6 5-6 family composition, disabilities, water supply, sewage, 5-6 7-14 7-9 7-17 7-14 building materials (floor, roof, etc.), and many other 14-15 10-14 14-15 characteristics. 16-17 15-17 16-17
  15. 15. Participating Countries
  16. 16. Facebook has data on We have data on 800 million people 912 million people USA 165 International 481 Historical 266 Total 912
  17. 17. Data Collection:Initial Sources of Environmental Data Land cover data from satellite images (Global Land Cover 2000) Land use data from satellites and government records (Global Landscapes Initiative) Climate data from weather stations (WorldClim)
  18. 18. Land Cover Data Global Land Cover 2000 Grid of 1 km sq cells Cell values are dominant land cover Derived from satellite images
  19. 19. Land Use DataGlobal LandscapesInitiative / Farming theWorld Grid of 10 km cells Values are % of cell used for given purpose Derived from satellite and agricultural census data Additional data sets for 175 specific crops and yields
  20. 20. Climate DataWorldClim Grid of 1 km cells Interpolated from climate station data Incorporate data from 1950-2000
  21. 21. 2. Integration, Dissemination, and Analysis Create tools and procedures to integrate, disseminate, and analyze population and environmental data.
  22. 22. Three Source Data Formats Microdata: Characteristics of individuals and householdsArea-level data:Characteristics of places definedby administrative boundaries Raster data: Values tied to spatial coordinates
  23. 23. Three Output Formats1. Census microdata with attached characteristics describing land use, land cover, and climate for local areas2. Aggregate data for administrative districts with tabulated population data and environmental characteristics3. Gridded data with characteristics of population and environment
  24. 24. TerraPop Prototype Data Transformations Input Formats Output Formats Microdata Microdata Areal data Areal data Raster data Raster data
  25. 25. Analysis tool needed for microdata conversion Input Formats Output Formats Microdata Microdata Areal data Areal data Raster data Raster data
  26. 26. TerraPop Data IntegrationInput Formats Output Formats Microdata Microdata with characteristics of surrounding area Area-level Area-level with summaries of data microdata and raster data Raster data with gridded Raster data representations of microdata and area-level data
  27. 27. Integration – Microdata OutputCensus microdata with attached characteristics describingland use, land cover, and climate for local areas Individuals and households with their environmental and social context
  28. 28. Integration – Area-Level Output Aggregate data for administrative districts with tabulated population data and environmental characteristics Mean Ann. Max. Ann. Rent, Rent, Own, Own, Vacant, Vacant,County ID Temp. Precip. Rural Urban Rural Urban Rural UrbanG17003100001 21.2 768 3129 1063 637 365 34 33G17003100002 23.4 589 2949 1075 1469 717 0 0G17003100003 24.3 867 3418 1589 1108 617 0 0G17003100004 21.5 943 1882 425 202 142 123 0G17003100005 24.1 867 2416 572 426 197 189 0G17003100006 24.4 697 2560 934 950 563 220 14G17003100007 25.6 701 2126 653 321 215 209 46
  29. 29. Integration – Raster OutputGridded data with characteristics of population andenvironmentRaster formatcompatible withenvironmentalmodels
  30. 30. Data Access SystemBrowse and select variables
  31. 31. Data Access SystemBrowse and select variables
  32. 32. Data Access SystemChoose output format
  33. 33. Data Access SystemChoose output format
  34. 34. Data Access SystemSelect data transformation options
  35. 35. TerraPop Prototype Data to be included  Population microdata for Brazil (1960-2000) and Malawi (1998 & 2008)  Aggregate population data at first and second administrative levels for Brazil and Malawi  Land cover, agricultural land use, and climate data Timeline  Available for beta testing: May 2013  Initial public version available by the end of 2013
  36. 36. 3. Education and Outreach Engage the scientific community and the public
  37. 37. Education and Outreach for the Research Community Curriculum of web-based training Workshops at conferences User support Community tools to promote user engagement
  38. 38. Public Education and Outreach Partner with educational software developers  Fathom Integration with museum programs  Science on a Sphere
  39. 39. 4. Organizational Development Develop structures to ensure long-run financial and technical sustainability.
  40. 40. SustainabilityCreate a sustainable organization that can guaranteepreservation and access over multiple decades Organizational sustainability Financial sustainability Technological sustainability
  41. 41. agriculture demography transportation criminology hazards Population Climate Terrapollution Populus Land Use Land Cover health economics politics bio- diversity hydrology

×