Geography

at

IRRI

CGIAR-CSI Meeting, 31 March – 4 April 2009, Nairobi, Kenya

Alice Laborte and Robert Hijmans

• Data

• Software

• New methods

Data

version 1

0

20000

40000

60000

80000

100000

120000

0 1 2 3 4 5

Level

# p

oly

gons

190,000 units

With help from: CIAT, ICRISAT, ILRI, …

http://geo.irri.orgGADM

GADM

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

WorldClim http://www.worldclim.org

Working on version 2

• Many more weather stations

• More variables

• Improved interpolation

• Climate change scenarios

• ETA (beta): January 2010

0

1 – 10

11 – 25

26 – 50

51 – 100

> 100

Daily rainfall

• Daily weather data for 1997—present

• Min/max temperature, rainfall, radiation, humidity

• 10 - 30 km resolution

• Satellite data, ground stations, interpolation

WorldWeather

Crop genetic resources collecting localities

USDA CGIAR EURISCO

212,000 341,000 79,000

http://www.biogeomancer.org/

Software

• Integrates statistics, graphics, databases,

geospatial, …

• Open source, easy to contribute to (‘packages’)

• Command line, sometimes complicated

• Scripts – can be automated, repeatable, verifiable

R software

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

IRRI R packages http://r-forge.r-project.org/

DIVA-GIS

• A very popular, free and easy-to-use GIS

• New version in May/June

• Integration with Rhttp://www.diva-gis.org

Methods

Point2

-0.2

0.0

0.2

0.4

0.6

0.8

1.0

1 11 21 31 41

DOY / 8

VA

LU

E

NDVI

EVI

LSWIFlooding and

transplanting

China

MODIS crop area and yield

Socio-economic variablesBiophysical variables

Random Forest for land use change

Current

rice areas

Potential areas

for expansion

Partial

dependence

plots of most

important

variables

Distance to major roads Flow accumulation (focal mean)

Population density Annual rainfall

Forest under threat

Temporal

price

variability

Poverty

Yield change

(+2ºC)

t / ha

Climate change effect on poverty

-3

-2

-1

0

0 5 10 15 20 25

Poverty line (US $ PPP)

Co

st

to t

he

po

or

(1

00

0 m

illio

n U

S $

PP

P)

http://geo.irri.org/

International Rice Research Institute