Presented by Alice Laborte (IRRI) at the CGIAR-CSI Annual Meeting 2009: Mapping Our Future. March 31 - April 4, 2009, ILRI Campus, Nairobi, Kenya

1. Geography
at
IRRI
Alice Laborte and Robert Hijmans
CGIAR-CSI Meeting, 31 March – 4 April 2009, Nairobi, Kenya

2. • Data
• Software
• New methods

3. Data

4. http://geo.irri.org
GADM
version 1
120000
190,000 units
100000
80000
# polygons
60000
40000
20000
With help from: CIAT, ICRISAT, ILRI, …
0
0 1 2 3 4 5
Level

5. GADM

6. Next step: Open-boundaries
• On-line fuzzy matching of names and
polygons
• On-line editing of names and polygons
• Time series
• Linked to databases of geographic names

7. WorldClim http://www.worldclim.org
Working on version 2
• Many more weather stations
• More variables
• Improved interpolation
• Climate change scenarios
• ETA (beta): January 2010

8. WorldWeather
• Daily weather data for 1997—present
• Min/max temperature, rainfall, radiation, humidity
• 10 - 30 km resolution
• Satellite data, ground stations, interpolation
Daily rainfall
0
1 – 10
11 – 25
26 – 50
51 – 100
> 100

9. Crop genetic resources collecting localities
http://www.biogeomancer.org/
USDA CGIAR EURISCO
212,000 341,000 79,000

10. Software

11. R software
• Integrates statistics, graphics, databases,
geospatial, …
• Open source, easy to contribute to (‘packages’)
• Command line, sometimes complicated
• Scripts – can be automated, repeatable, verifiable

12. IRRI R packages http://r-forge.r-project.org/
Raster
• All raster operations (overlay, neighborhood, projection, ….)
• Handles very large databases
RemoteSensing
• Radiometric calibration
• Vegetation indices
• Modis, Landsat
gDistance
• Advanced distance measures (e.g. resistance distance)
• Sparse matrix based
geodata
• Download: gadm, srtm, worldclim, …
cropsim
• Crop and disease simulation models

13. DIVA-GIS
• A very popular, free and easy-to-use GIS
• New version in May/June
http://www.diva-gis.org
• Integration with R

14. Methods

15. MODIS crop area and yield
Point2
1.0
NDVI
0.8
EVI
Flooding and LSWI
transplanting
0.6
VALUE
China
0.4
0.2
0.0
1 11 21 31 41
-0.2
DOY / 8

17. Random Forest for land use change
Biophysical variables Socio-economic variables

18. Potential areas
Current
for expansion
rice areas

19. Partial
dependence
plots of most
important Distance to major roads Flow accumulation (focal mean)
variables
Population density Annual rainfall

20. Forest under threat

21. Temporal
price
variability

22. Poverty

23. Climate change effect on poverty
Yield change
(+2ºC)
Poverty line (US $ PPP)
0
0 5 10 15 20 25
(1000 million US $ PPP)
Cost to the poor
-1
t / ha
-2
-3

24. http://geo.irri.org/
International Rice Research Institute