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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
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
DATA FUSION




              3
FUSION?




          4
SELECT HG, HTA, OR SCA
METHODOLOGIES & 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 Studies




Courage Services, Inc Proprietary Information
UNCLASSIFIED//FOUO
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
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
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
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
MULTI-SOURCE HG DATA
11
12
13
14
MULTI-SOURCE HG DATA
INTEGRATION
A single data layer typically includes
multiple sources of information in
varying formats from varying time
periods.
•   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
DISPLAYING HG DATA & ANALYSIS
                                       Sentiment &        Urban Scale Analysis
     Points versus Polygons
                                       Animosities




                                                           National Level Data
                                     Homogenous versus
                                     Heterogeneous Data




Temporally Enabled Data & Analysis
DROC
                       Van der Kerken, 1944
 Maes, 1926                                      Hulsteadt, 1950




       Vansina, 1968                          DRC, 2006
MEXICO




         18
MEXICO




         19
MEXICO




         20
DISTRICT-LEVEL “COORDINATION”  
DENSITY AMONG ARMED GROUPS




                                  21
“WATER”  IN SYRIA




                    22
“WATER”  IN SYRIA




                    23
“WATER”  IN SYRIA




                    24
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
DISCUSSION


             26

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Providing innovative analytic insight into complex environments

  • 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. 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
  • 5. SELECT HG, HTA, OR SCA METHODOLOGIES & 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 Studies Courage Services, Inc Proprietary Information UNCLASSIFIED//FOUO
  • 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. 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. 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. 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
  • 11. 11
  • 12. 12
  • 13. 13
  • 14. 14
  • 15. MULTI-SOURCE HG DATA INTEGRATION A single data layer typically includes multiple sources of information in varying formats from varying time periods. • 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. DISPLAYING HG DATA & ANALYSIS Sentiment & Urban Scale Analysis Points versus Polygons Animosities National Level Data Homogenous versus Heterogeneous Data Temporally Enabled Data & Analysis
  • 17. DROC Van der Kerken, 1944 Maes, 1926 Hulsteadt, 1950 Vansina, 1968 DRC, 2006
  • 18. MEXICO 18
  • 19. MEXICO 19
  • 20. MEXICO 20
  • 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