Presented by Christopher Legg at the CGIAR-CSI Annual Meeting 2009: Mapping Our Future. March 31 - April 4, 2009, ILRI Campus, Nairobi, Kenya

1. GIS IN SUPPORT OF
GREAT LAKES CASSAVA INITIATIVE
CHRISTOPHER LEGG
GIS CONSULTANT

2. East African
“Great Lakes”
region
Total and per-capita cassava production in Sub-Saharan Africa (FAO data)‫‏‬

3. Cassava is an essential food crop
in the six countries of the East
African “Great Lakes” region

4. Cassava Mosaic Disease (CMD) and
Cassava Brown Streak Disease (CBSD)
threaten food security in an already
impoverished region

5. CMD infected cassava CBSD in cassava tubers
Disease-resistant cassava
multiplication plot Participatory selection of varieties

6. Geo-location using GPS
is an essential part of all
GLCI field work
60 Garmin Etrex units
are already deployed,
and more will be
purchased.
Training in GPS
procedures is given to
all field staff
Key project and partner staff are trained in
basic GIS skills, using free and open-
source software, in order to view and
analyse GPS data against backgrounds of
other data sets

7. CASSAVA
HOUSEHOLD
DISEASE
SURVEYS
SURVEYS
ADMINISTRATIVE
BOUNDARIES
AGRICULTURAL
PRODUCTION
Interpolation Disaggregation of Extrapolation
agricultural
Extraction of CMD of food
production
of
LAND-USE / incidence and
statistics to security data
population
LANDCOVER severity.
district using to unsampled
from grids Averaging to districts
land cover
districts
POPULATION
DISTRIBUTION
FARMING FOOD CASSAVA
CMD BY
HOUSEHOLDS PRODUCTION DEPENDENCY
DISTRICT
PER DISTRICT BY DISTRICT BY DISTRICT
Interactive
MAPS AND selection
TARGET
TABLES of target
DISTRICTS
areas by
FOR
project
TARGETING staff

8. CASSAVA
RESISTANT FARMER HOUSEHOLD
DISEASE
PLANTING GROUP SURVEYS
SURVEYS
MATERIAL SURVEYS
SURVEYS
TARGET Mapping and Maps and
Maps and
DISTRICTS comparison statistics
Maps from
statistics from with to
field GPS
field data previous illustrate
data
data changes in
food
security
INTERNAL PROGRESS
DISTRICT
ASSESSMENT REPORTS
WORK PLANS

9. SELECTING TARGET DISTRICTS
Targeting based on ranking of
population, cassava production
and CMD incidence

10. MAPPING DATA FROM FIELD SURVEYS
Data from cassava disease surveys and
household socio-economic surveys, geo-
located by GPS, are mapped by
interpolation and averaging

11. WITHIN-DISTRICT TARGETING USING GRIDS

12. MAPPING DISTRIBUTION OF RESISTANT
CASSAVA VARIETIES

13. 250 Intel “Aid Station” mini-laptops have been
purchased for the project, in cooperation with
NetHope
These will be used for data collection and
analysis, and also for distance learning using
Agilix GoCourse training courses developed in
the project

14. GLCI is committed to introduction of advanced data
collection and communication technologies, and is
experimenting with GPS-enabled mobile devices