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FOR OFFICIAL USE ONLY 20 April 2009 Open Source Center Analysis This OSC product is based exclusively on the content and behavior of selected media and has not been coordinated with other US Government components. Afghanistan -- Geospatial Analysis Reveals Patterns in Terrorist Incidents 2004-2008 OSC's geospatial analysis of incidents within the National Counterterrorism Center (NCTC) Worldwide Incidents Tracking System (WITS) database provides insight into terrorist incidents in Afghanistan reported in open sources from 2004 through the end of 2008 and compares them against an OSC-developed predictive model. Various types of analysis of the WITS data revealed spatial patterns and a distribution of incidents that would be valuable to those interested in the dynamics of Afghanistan's security. Analyses included in this study are as follows: mapping incident density, identifying the dominant ethnic group where incidents occurred, mapping incidents by district, mapping incidents by province, identifying the mean center of incidents over time, calculating the standard deviation (spatial pattern/trend) of overall incidents, mapping total incidents by month, and computing the mean center of incidents by month. Incident analysis is based on data from NCTC's WITS database at: http://wits.nctc.gov/ . Key Applications The table below outlines some of the most important applications for this analysis and provides links to the maps best suited for viewing the associated applications. Double-click the icons beneath each map to open them to full size. Note: The Geostatistical and Temporal Analysis maps are interactive GeoPDFs. Use the "layers" option in Adobe Reader to turn layers off and on. Geostatistical Analysis of Incident Data Identify hotspots for terrorist incidents Identify geographic distribution of incidents and their mean center View distributions of deaths and kidnappings Analyze incidents by ethnic group and population Analyze incidents by district/province Geostatistical Analysis.pdf:

Open Source Center Analysis - fas.org · Open Source Center Analysis This OSC product is based exclusively on the content and behavior of selected media and has not been coordinated

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  • FOR OFFICIAL USE ONLY 20 April 2009

    Open Source Center Analysis

    This OSC product is based exclusively on the content and behavior of selected media and has not been coordinated with other US Government components.

    Afghanistan -- Geospatial Analysis Reveals Patterns in Terrorist Incidents 2004-2008

    OSC's geospatial analysis of incidents within the National Counterterrorism Center (NCTC) Worldwide Incidents Tracking System (WITS) database provides insight into terrorist incidents in Afghanistan reported in open sources from 2004 through the end of 2008 and compares them against an OSC-developed predictive model. Various types of analysis of the WITS data revealed spatial patterns and a distribution of incidents that would be valuable to those interested in the dynamics of Afghanistan's security. Analyses included in this study are as follows: mapping incident density, identifying the dominant ethnic group where incidents occurred, mapping incidents by district, mapping incidents by province, identifying the mean center of incidents over time, calculating the standard deviation (spatial pattern/trend) of overall incidents, mapping total incidents by month, and computing the mean center of incidents by month.

    Incident analysis is based on data from NCTC's WITS database at: http://wits.nctc.gov/.

    Key Applications

    The table below outlines some of the most important applications for this analysis and provides links to the maps best suited for viewing the associated applications. Double-click the icons beneath each map to open them to full size.

    Note: The Geostatistical and Temporal Analysis maps are interactive GeoPDFs. Use the "layers" option in Adobe Reader to turn layers off and on.

    Geostatistical Analysis of Incident Data

    • Identify hotspots for terrorist incidents

    • Identify geographic distribution of incidents and their mean center

    • View distributions of deaths and kidnappings

    • Analyze incidents by ethnic group and population

    • Analyze incidents by district/province

    Geostatistical Analysis.pdf:

    http://wits.nctc.gov/
  • FATA

    Herat

    Farah

    HelmandNimruz

    Ghowr

    Kandahar

    Badakhshan

    Ghazni

    Faryab

    Balkh

    Paktika

    BadghisBamian

    Baghlan

    Takhar

    Daykondi

    Sar-e Pol

    Jowzjan

    Zabol (Zabul)

    Samangan

    Nurestan

    Paktia

    NangarharVardak (Wardag)Lowgar

    Oruzgan (Uruzgan)

    Khowst

    Kondoz (Kunduz)

    Panjshir

    Kabol (Kabul)Laghman

    Konar (Kunar)Parvan (Parwan) KapisaKabul

    Afghanistan: Geostatistical Analysis of Incident Data 2004 - 2008Afghanistan: Geostatistical Analysis of Incident Data 2004 - 2008

    OSC-MSC Geospatial Analysis Team 200857U-ATSource: NCTC Data WITS Database and OSC/MSC data

    This map is a GeoPDF and has special features that make it interactive.Use the layers option to turn layers on and off and customize the map to your liking.The map's legend can be found on page 2.

    USER1

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  • LegendOverall mean center2004 mean center2005 mean center2006 mean center2007 mean center2008 mean center

    Incident Density11050

    100Standard Deviation of Overall Incidents

    Incident DensityLow

    HighIncidents / Population

    Low

    HighTotal Deaths From Incidents

    0 - 23 - 89 - 2223 - 4445 - 100

    Total Wounded From Incidents0 - 34 - 1617 - 4041 - 9798 - 261

    Total Kidnappings From Incidents0 - 12 - 78 - 1819 - 4041 - 156

    Incidents In Each Ethnic Grouping0 - 1314 - 3940 - 117118 - 331332 - 2562

    Total Incidents By District01 - 23 - 78 - 2021 - 200

    Total Incidents By Province3 - 3738 - 9091 - 185186 - 320321 - 543

    Pakistan Suicide Attack DensityLow

    HighAfghan Roads

    urbanpavedtrailunpaved

    Ethnic GroupsArabBaluchiBaluchi/BrahuiBaluchi/PersianBrahuiChahar Aimak - FiruzkuhiChahar Aimak - Hazara-AimakChahar Aimak - JamshidiChahar Aimak - TaimaniChahar Aimak - TaimuriGujari, Jati, NariHazaraKirghizMongol/Punjabi/Afshari/KizilbashMountain TajikNuristaniOrmuriParachiPashaiPashtunPashtun/HazaraPashtun/TajikPashtun/UzbekPersianSparsely PopulatedTajikTajik/HazaraTajik/PersianTajik/UzbekTirahiTurkmenUninhabitedUzbekUzbek/Hazara

    FATAFATA

    Attack ProbabilityHigh

    Low

    Statistical Analysis

    Stats_Legend

    OSCFile AttachmentGeostatistical Analysis.pdf

  • FOR OFFICIAL USE ONLY

    This OSC product is based exclusively on the content and behavior of selected media and has not been coordinated with other US Government components.

    2

    Temporal Analysis of Incident Data

    • View terrorist incidents by year

    • View mean location of incidents by year

    • Analyze changes in incidents by month

    • Compare with suicide attacks in Pakistan

    • Compare incident locations with a geospatial predictive model

    Temporal Analysis.pdf:

    3-Dimensional View of Attack Density

    • View distribution of the incidents in three dimensions

    3D View.pdf:

    Attack Analysis by Threat

    • View incident analysis organized by threat type

    • Compare rocket attacks, land Mines, assassinations, grenade attacks, Kidnappings, bombings, IEDs, ambushes, arson, and armed attacks

    Incident Density Threat Type.pdf:

  • FATA

    Herat

    Farah

    HelmandNimruz

    Ghowr

    Kandahar

    Badakhshan

    Ghazni

    Faryab

    Balkh

    Paktika

    BadghisBamian

    Baghlan

    Takhar

    Daykondi

    Sar-e Pol

    Jowzjan

    Zabol (Zabul)

    Samangan

    Nurestan

    Paktia

    NangarharVardak (Wardag)Lowgar

    Oruzgan (Uruzgan)

    Khowst

    Kondoz (Kunduz)

    Panjshir

    Kabol (Kabul)Laghman

    Konar (Kunar)Parvan (Parwan) KapisaKabul

    Afghanistan: Temporal Analysis of Incident Data 2004 - 2008Afghanistan: Temporal Analysis of Incident Data 2004 - 2008

    OSC-MSC Geospatial Analysis Team 200857U-ATSource: NCTC Data WITS Database and OSC/MSC data

    This map is a GeoPDF and has special features that make it interactive.Use the layers option to turn layers on and off and customize the map to your liking.The map's legend can be found on page 2.

    USER1

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    USER1

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  • Legend2004 WITS2005 WITS2006 WITS2007 WITS2008 WITSOverall Mean Center2004 Mean Center2005 Mean Center2006 Mean Center2007 Mean Center2008 Mean Center

    January1 - 67 - 1213 - 1718 - 22

    February1 - 45 - 67 - 910 - 11

    March1 - 78 - 1415 - 2021 - 26

    April1 - 56 - 910 - 1213 - 16

    May1 - 34 - 78 - 1213 - 23

    June1 - 78 - 1314 - 1819 - 24

    July1 - 78 - 1213 - 1819 - 23

    August1 - 34 - 78 - 1213 - 26

    September1 - 78 - 1415 - 20

    21 - 26October

    1 - 67 - 1112 - 15

    16 - 20November

    1 - 34 - 56 - 7

    8 - 9December

    1 - 56 - 910 - 1314 - 17

    Pakistan Suicide Attack DensityLow

    HighAfghan Roads

    urbanpavedtrailunpavedCapitalMajor Cities

    Ethnic GroupsArabBaluchiBaluchi/BrahuiBaluchi/PersianBrahuiChahar Aimak - FiruzkuhiChahar Aimak - Hazara-AimakChahar Aimak - JamshidiChahar Aimak - TaimaniChahar Aimak - TaimuriGujari, Jati, NariHazaraKirghizMongol/Punjabi/Afshari/Kizilbash/Kazakh/Karakalpak/Jews/JatsMountain TajikNuristaniOrmuriParachiPashaiPashtunPashtun/HazaraPashtun/TajikPashtun/UzbekPersianSparsely PopulatedTajikTajik/HazaraTajik/PersianTajik/UzbekTirahiTurkmenUninhabitedUzbekUzbek/HazaraFATA

    Attack ProbabilityValue

    HighLow

    Temporal Analysis

    Temporal Legend

    OSCFile AttachmentTemporal Analysis.pdf

  • USER1

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    UNCLASSIFIED//FOUO

    OSCFile Attachment3D View.pdf

  • OSCFile AttachmentIncident Density Threat Type.pdf

  • FOR OFFICIAL USE ONLY

    This OSC product is based exclusively on the content and behavior of selected media and has not been coordinated with other US Government components.

    3

    Attack Density by Perpetrator

    • View incidents organized by perpetrator

    • Compare incidents with OSC predictive model

    Incident Density Perpetrator.pdf:

    3-Dimensional View of Incidents

    • Analyze incidents in a three-dimensional environment

    Google Earth KMZ document:

    Note: Source data in ArcGIS-compatible formats are available upon request.

    Geospatial Analysis Project Data

    In its native format, the WITS data, obtained from wits.nctc.gov, is not suitable for geospatial analysis; for example, the database includes a "subject" field which contains both the event location and its description. Location coordinates are not provided. A member of the PSCB, Taliban Special Issue Branch, provided OSC with a spreadsheet containing the named location, usually a city or village, in a unique field. OSC identified latitude and longitude for incident locations using several place-name identification tools. Of the 4,129 incidents included in the database, 80% were located at the city or village level. Only 16% were located at the provincial level, and 4% were located at the district level.

    WITS data include fields identifying the incident perpetrator, country, subject (description), number dead, number wounded, number of hostages, and total victims. Additional fields could be extracted from the description field, including location, month, and year. In Afghanistan, incident perpetrators include Al-Qa'ida, Taliban, Hizb-i-Islami, and others. Threat types were reported as ambush, armed attack, arson, assassination, bombing, grenade, IED, kidnapping, land mine, or rocket attack.

    OSC used ESRI data to provide base data for the map and Landscan 2007 data, produced by Oakridge National Laboratories, for population estimates.

  • OSCFile AttachmentIncident Density Perpetrator.pdf

    doc.kml

    WITS Data Analysis 1 Legend files/legend.jpg 0.75 10691 absolute 31.11839057941024 28.74992776352793 74.69702584177819 67.55588952252768 Standard Deviation of Overall Incidents 0 00000000 0 a5828282 2 a5beffd3 Standard Deviation of Overall Incidents 0 0 0 #PolyStyle00 1 65.555758,31.198072,0 65.48884,31.197351,0 65.420759,31.19768,0 65.351568,31.19916,0 65.28134300000001,31.201895,0 65.210161,31.206011,0 65.138132,31.211622,0 65.065382,31.218859,0 64.99205600000001,31.227861,0 64.918325,31.238764,0 64.844393,31.251715,0 64.77047500000001,31.266851,0 64.69682899999999,31.28433,0 64.623728,31.304285,0 64.551481,31.32686,0 64.48041000000001,31.352179,0 64.410875,31.380369,0 64.343245,31.411528,0 64.277903,31.445738,0 64.21524599999999,31.483065,0 64.15566800000001,31.523542,0 64.099569,31.567175,0 64.047319,31.613939,0 63.99927700000001,31.663767,0 63.95577,31.716562,0 63.917086,31.772192,0 63.88346299999999,31.830488,0 63.855089,31.891249,0 63.83209800000001,31.954241,0 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