centre for geospatial science dr didier leibovici 1 extracting dynamics of multiple indicators for...

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Dr Didier Leibovici 1 CENTRE FOR GEOSPATIAL SCIENCE Extracting Dynamics of Multiple Indicators for Spatial recognition of Ecoclimatic zones in Circum-Saharan Africa Didier Leibovici and Gilbert Quillevere Centre for Geospatial Sciences, University of Nottingham, Nottingham UK IRD-US166 Désertification, Maison de la Télédétection, Montpellier France [email protected]

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Dr Didier Leibovici

1

CENTRE FORGEOSPATIALSCIENCE

Extracting Dynamics of Multiple Indicators for Spatial recognition of Ecoclimatic zones in Circum-

Saharan Africa

Didier Leibovici and Gilbert Quillevere

Centre for Geospatial Sciences, University of Nottingham, Nottingham UKIRD-US166 Désertification, Maison de la Télédétection, Montpellier France

[email protected]

Dr Didier Leibovici

2

CENTRE FORGEOSPATIALSCIENCE

ROSELT network www.roselt-oss.orglong term monitoring of desertification

representativeness of 30 observatories arid, semi-arid, dry sub-humid

circum-Saharan region

Biophysical Ecological Socio-economical

Spatio-temporal variations

Ecoregion delineation homogeneous zones

Dr Didier Leibovici

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CENTRE FORGEOSPATIALSCIENCE

focusing on ecoclimatic variations (physical climatic aspects) arid semi-arid dry sub-humid

indicators

aridity index P/ETo ~0.10 ~0.35 ~0.50 (annual)

mensual variations !? (see ombrothermal diagrams Le Houérou)

e.g.

WORLDCLIM 1950-2000 www.worldclim.org/current.htmFAO www.fao.org

averages over 50 years

Dr Didier Leibovici

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CENTRE FORGEOSPATIALSCIENCE

clustering the dynamics

capturing spatio-temporal variations

12 x 10 values at 298249 pixels (grid 5’’)

meaningful correlations among 120 variables ?!120 indicators

2982

49 lo

catio

ns kmeansor

PCA + kmeans

?

12 months

2982

49 lo

catio

ns

10 indicators

tensorial structure

analysing interactions

space x time x indicators

PTAk+

kmeans

Principal Tensor Analysis on k-modes (k=3)offers a generalisation of PCA

Dr Didier Leibovici

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CENTRE FORGEOSPATIALSCIENCE

Principal Tensor Analysis on k-modes (k=3) R add-on package www.r-project.org

PCA PTAk

1st principal tensor of a

2-way table, of 3-way table

matrix calculus to tensor algebra

Dr Didier Leibovici

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CENTRE FORGEOSPATIALSCIENCE

{{

{

298249 x 10 x 12

decomposition of Sum of Squares

like PCA but a multi-level hierarchy

PCA of 298249 x 10 (63.66%)23.15% 6.95% 3.31% …

recursive algorithm

Dr Didier Leibovici

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CENTRE FORGEOSPATIALSCIENCE

s latitude gradients from Sahara (<>)i drought/extreme conditions ETo, dM, Tmax<> rain related indicators Q3, P, PETom all year more during months 5 to 10

s sea shore and low relief<>high reliefi temperature Tmin, Tave but also Q3<> altitude Alt m all year more during months 5 to 10

vs111 39.15%

12vs111 298249 10 14.24%

Dr Didier Leibovici

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CENTRE FORGEOSPATIALSCIENCE

s Maghreb and equatorial <> Sudan-Sahel zonei temperature Tmin, Tave, Tmax, and altitude Alt<> rain and aridity indicators Q3, P, PETo, dMm wet hot months 7, 8, 9 and dry months 12, 1, 2 <> mid seasons months 4, 5, 10

s oceanic equatorial <> gradient North-South in Maghreb i (<>) temperature Tmin, Tave, Tmax, and evapotranspiration ETom 6, 7, 8, 9<> dry months 11, 12, 1, 2

vs333 1.64%

Vs222 16.33%

Dr Didier Leibovici

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CENTRE FORGEOSPATIALSCIENCE

s gradiant N&S Sudan-Sahel zone<> north Maghreb and equatorial i rain related indicators Q3, P, PETo, dM (<>)m 6, 7, 8, 9 <> dry months 11, 12, 1, 2

12vs222 298249 10 3.53%

10 vs222 298249 12 0.84%

s north Maghreb and Guinea area(<>)i (<>) temperature Tmin, Tave, Tmax, evapotranspiration ETo m end of dry months 3, 4, 5 <> 7, 8

Dr Didier Leibovici

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CENTRE FORGEOSPATIALSCIENCE

kmeans clustering of selected (s) in 15 classesshapefile on Catalogue Service Web mdweb.roselt-oss.org

classes proximity from hierarchical clustering

• ecoclimatic pattern• ROSELT covers all the classes in arid, semi arid, sub humid zones• observatories mainly of one class (but 1/3 of 2 calsses: 80% area in 1 class)•0.08dd is between 9km and 7.5km

Dr Didier Leibovici

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CENTRE FORGEOSPATIALSCIENCE

Some drawbacks

• resolution (1’) relatively to observatory size (~20 pixels … ) • 50 years average (WORLDCLIM) … periods • number of classes• only ecoclimatic delineation

Some solutions• better resolutions available • introducing periods (within the 50 years) and performing a PTA4

space x months x period x indicators• multilevel classification (cutting the tree) : e.g. kmeans with 40 +hierachical tree of them• intercepting classes from same methodology on different domains

ecolimatic soil-vegetation socio-economic or using all indicators together (allowing correlation between domains)

months

loca

tions

indicators

months

loca

tions

indicators

period

Dr Didier Leibovici

12

CENTRE FORGEOSPATIALSCIENCE

Extracting Dynamics of Multiple Indicators for Spatial recognition of Ecoclimatic zones in Circum-Saharan Africa

Didier Leibovici and Gilbert Quillevere

Centre for Geospatial Sciences, University of Nottingham, Nottingham UKIRD-US166 Désertification, Maison de la Télédétection, Montpellier France

[email protected] – Questions?

months

loca

tions

indicators