Home Virginia Landscape Score
Parameters
%
Statistics
| Min | Max | Mean | Std |
|---|---|---|---|
Classification
Classes
0
0
%
Statistics
| Min | Max | Mean | Std |
|---|---|---|---|
Classification
Classes
%
Statistics
| Min | Max | Mean | Std |
|---|---|---|---|
Classification
Classes
%
Statistics
| Min | Max | Mean | Std |
|---|---|---|---|
Classification
Classes
%
Statistics
| Min | Max | Mean | Std |
|---|---|---|---|
Classification
Classes
%
Statistics
| Min | Max | Mean | Std |
|---|---|---|---|
Classification
Classes
Total: 0 %
Symbology
Low
High
About
Site suitability calculation
- Assign weight value (%) for each weighted parameters (rasters) to make total 100%
- In each parameter, slide "Classification" slider to make change of range values for each class, or merge existing classes by overlapping slider handlers
- Assign preference value (0 - 9) for each class according to its favorite level to the vineyard
- Select a color ramp in "symbology"
- Click "Run Model" to calculate a suitability map for the map extent
- (To-do) Click on map to identify suitability value
Sample Literature
Land-suitability analysis for 'Mantonico' grape variety
| Clusters | Factors | Factor weights | Order weights |
|---|---|---|---|
| Soil & Land use | Land use/Land Cover | 0.075 | 0.1 |
| Pedological factors | 0.253 | 0.2 | |
| Climate | Heat index | 0.294 | 0.25 |
| Geomorphology | Elevation | 0.054 | 0.03 |
| Slope | 0.248 | 0.2 | |
| Aspect | 0.075 | 0.07 |
Source:
Modica, Giuseppe, Luigi Laudari,
Francesco Barreca, and Carmelo Riccardo Fichera.
A GIS-MCDA Based Model for the Suitability Evaluation of Traditional Grape Varieties: The Case-Study of 'Mantonico' Grape (Calabria, Italy).
International Journal of Agricultural and Environmental Information Systems 5,no. 3 (33 2014): 1-16. doi:10.4018/ijaeis.2014070101.
