Fusion of Human Geography Data

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Fusion of Human Geography Data

  1. 1. Providing innovative analytic insight into the world’s complex environment HUMAN GEOGRAPHY DATA FUSION TOM FLINT, COURAGE SERVICES, INC. TOM.FLINT@COURAGESERVICES.COM 28 November 2012 UNCLASSIFIED
  2. 2. OVERVIEW - Human  Geography  Data  “Fusion” - Caution:  “Something  from  Nothing” - HG Environment and Usage - Data and Data Sources - Theme Layers and Examples (NGA and Others) - Soapbox on Placenames - Pakistan - Human Geography Data Fusion and Visualization - Techniques - Examples - Democratic Republic of Congo - Mexico - Syria - Applications 2
  3. 3. DATA FUSION 3
  4. 4. FUSION? 4
  5. 5. SELECT HG, HTA, OR SCAMETHODOLOGIES & TRADECRAFT Select OSINT Sources • Historical British Military Reports • Historical General Staff of India Reports • Courage Services Reference Products • Tourism Publications • Local Publications • Census Data • Ethnographic Surveys • Rand Corporation Products • JSTOR Academic Papers and Publications • UNHCR Reports • Open Source Center (OSC) • Other NGO Area StudiesCourage Services, Inc Proprietary InformationUNCLASSIFIED//FOUO
  6. 6. HUMAN GEOGRAPHY DATA THEMES 1. Demographics 2. Religion 3. Language 4. Ethnicity 5. Transportation 6. Economy 7. Education 8. Land Use 9. Medical/Health 10. Political/Ideological 11. Communication/Media 12. Significant Events 13. Water 6
  7. 7. MULTI-SOURCE HG DATA Human Geography Themes 1. Demographics 2. Religion 3. Language 4. Ethnicity 5. Transportation 6. Economy 7. Education 8. Land Use 9. Medical/Health 10.Political/Ideological 11.Communication/Media 12.Significant Events Built from Census & SME Collected Data
  8. 8. MULTI-SOURCE HG DATA Human Geography Themes 1. Demographics 2. Religion 3. Language 4. Ethnicity 5. Transportation 6. Economy 7. Education 8. Land Use 9. Medical/Health 10.Political/Ideological 11.Communication/Media 12.Significant Events Gap Areas Filled from Surveyor General Mapping
  9. 9. MULTI-SOURCE HG DATA Human Geography Themes 1. Demographics 2. Religion 3. Language 4. Ethnicity 5. Transportation 6. Economy 7. Education 8. Land Use 9. Medical/Health 10.Political/Ideological 11.Communication/Media 12.Significant Events 13.Water/Water Features Built from In-Country UN, USAID & NGO Data
  10. 10. MULTI-SOURCE HG DATA
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  15. 15. MULTI-SOURCE HG DATAINTEGRATIONA single data layer typically includesmultiple sources of information invarying formats from varying timeperiods.• Source Identification and Assessment• Schema Development• Preliminary Source Valuation & Vetting• Automated Data Extraction• Additional Source Vetting, Data De-confliction• Sourcing, Metadata, & Analytical Comments – Transparency• Production
  16. 16. DISPLAYING HG DATA & ANALYSIS Sentiment & Urban Scale Analysis Points versus Polygons Animosities National Level Data Homogenous versus Heterogeneous DataTemporally Enabled Data & Analysis
  17. 17. DROC Van der Kerken, 1944 Maes, 1926 Hulsteadt, 1950 Vansina, 1968 DRC, 2006
  18. 18. MEXICO 18
  19. 19. MEXICO 19
  20. 20. MEXICO 20
  21. 21. DISTRICT-LEVEL “COORDINATION”  DENSITY AMONG ARMED GROUPS 21
  22. 22. “WATER”  IN SYRIA 22
  23. 23. “WATER”  IN SYRIA 23
  24. 24. “WATER”  IN SYRIA 24
  25. 25. HG FUSION APPLICATIONS• Unique research, data & analytical techniques to fill intelligence gaps• Contribution to social and family network, power and influence analysis• Acquire, extract, and structure un-structured data for various onsite applications• Supporting analysis and assessment of local dynamics, animosities, and relationships amongst groups• Combining unclassified information in a classified environment to answer key intelligence questions• Refining requirements 25
  26. 26. DISCUSSION 26

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