Federico Spanna: Regione Piemonte Agrometeorological Service federico.spannaregione.piemonte.it

1
Workshop on climatic analysis and mapping for
agriculture (14-17 june 2005, Bologna, Italy)
The multivariate and multi-regressive techniques
in the spatial representation of
agrometeorological data for the Piedmont
(North-West Italy) areas

• Federico Spanna Regione Piemonte -
  Agrometeorological Service federico.spanna_at_regio
  ne.piemonte.it
• Alberto Rainero S.I.T. Alessandria County
  Council
• albertorainero_at_libero.it

2
Contents

• Context, aim, method

• Multivariate analysis

• Spatial representation

3
Territorial representation
Contoured map showing elevation
50 mountainous 30 plain 20 hill
4
Distribution of meteorological stations
150 agrometeorological stations (RAM)
300 hydrographic station
5
Aim
Georepresentation of agrometeorological
variables as influenced by land morphology
6
Methodology

• Analysis and selection of main morphological
  informations

• Individuation of homogeneous agrometeorological
  areas (multivariate analysis)

• Spatial representation (statistical
  multiregressive analysis)

7
Contents

• Context, aim, method

• Multivariate analysis

• Spatial representation

8
Morphological features1- agrarian landscape map
3 perceptive levels
Scale 1100.000
Cultivation Agrarian trend
9
Morphological features 2 soil yield
9 classes
Scale 1100.000
Potential soil use for crops
10
Morphological features 3 Corine coverage
44 classes
Scale 1100.000
Actual soil use
11
Morphological features 4 - morphology
Piedmont Digital Elevation Model (DEM)
Scale 1100.000
Height Slope Exposure Distance from valley bottom
12
Territorial information found
13
Aggregation classes
92 stations
14
Objective function
15
Contents

• Context, aim, method

• Multivariate analysis

• Spatial representation

16
Homogeneous areas representation
Watershed Borough boundaries
17
Spatial interpolation Algorithm
Station cluster
Influence territorial area
Morphological parameters
Morphological parameters xi
?
MF(xi)
Meteo information synthesis
18
Multiregressive analysis
Height, Slope, Exposure, River bed distance
M F(xi) M kpH kdS keE kqD
19
Substrata superposition
20
Coefficient exploration
Dependent variable
Performance (R2 )
Sample
Period
21
Traditional representation
Field of Temperature range
22
AstiArea 1
Mean of T min - 2003
23
Barolo Area
Mean of T min 02/03
24
Barolo Area
25
Asti andCuneo ProvinceArea 2
Mean of T mean - Spring 02/03
26
ASTI andCuneo ProvinceArea 2
27
Conclusions
Innovative and significant methodology for a
youngagrometeorological region
Map developing of the most important climatic
indexes (ex. Winkler, Huglin, Thermal excursions
etc.)
28
(No Transcript)