CENTRAL AFRICAN REPUBLIC Security Event Density Analysis (weighted by casualties) (May-June 2014) NIGERIA
Am-Dafock
SUDAN
Birao
ABYEI
CHAD Ouanda-Djallé
Ndélé
⚝ ⛳ Ouadda
CAMEROON
Kabo
Markounda
Ngaounday Paoua
⚝ ⛳
Bamingui
⚝ ⛳
Batangafo
Boguila
Kaga-Bandoro
Nana-Bakassa
Koui Bocaranga
⚝ ⛳ Mbrès
Bouca
Bossangoa
Bozoum
Dekoa
Bouar
Baboua
⚝ ⛳
Baoro
Bossemptele
Abba
Gamboula
Dédé Mokouba
Bogangolo
Yaloké
Amada-Gaza
SOUTH SUDAN
Carnot
Gadzi
Djéma
Bambari
Bakouma
⚝ ⛳
M'Boki Kouango
Alindao
Bimbo
Bangui
Mobaye
⚝ ⛳ ⛳ ⚝
Ouango
DEMOCRATIC REPUBLIC OF THE CONGO
Incident Density (May-June 2014) (Weighted by no. of casualties) CONGO
Relative density per sq km
Ü
High Low
The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The UN accepts no responsibility for the use of the datasets shown in this map
Creation date: 30 June 2014
Bangassou
Mbaïki
Salo Bayanga
Bambouti
Zémio
Rafaï
Moungoumba
Nola
Obo
⚝ ⛳
Mingala
Kémbé Gambo
Boda
Bambio
Sosso-Nakombo
Damara
Djoukou
Yalinga
Ippy
Boganangone
Boganda
Berbérati
⚝ ⛳
Bossembélé Boali
Bakala
Grimari
Sibut
Bria
Sources: Incident data - OCHA maintained REFLEX database. The Reflex database combines UNDSS Sitreps, OCHA sitreps, and ACLED data sources. Roads - WFP, Logs Cluster. Towns - SIGCAF, WRI.
Density calculated with Kernel density function with 20 km radius nearest neighbours and 1 square km cell size, weighted by casualties (number of dead). Analysis by iMMAP surge consultants. Feedback: ocha.im.car@gmail.com
⚝ ⛳ 0 Km
Capitale Nationale
Primary
Ville
Secondary
International Boundaries
Tertiary Track/Trail
Incidents involving humanitarians 60
120
240
360
480