Mapping uncertainty from multi-criteria analysis of land development suitability, the case of Howth, Dublin

Figures & data

Table 1. Input data reclassification – Showing original classification of each factor and reclassified value.

Environmental Factor	Reclassified Suitability Values
	0	1	2	3	4	5	6	7	8	9
SAC (distance in metres)	In SAC	100	200	300	450	550	700	800	950	1100
SPA (distance in metres)	In SPA	100	200	300	450	600	900	1200	1500	1800
GWV (vulnerability classification)	Water		Exposed Rock	Extreme	High			High-low	Medium	Low

Table 2. AHP matrix, confidence values and MCA weights.

	SPA		GWV		MCA Weight
	Expert Guess	Confidence Value	Expert Guess	Confidence Value	From Expert Guess (%)
SAC	3	1.25	7	3	65
SPA	–		5	0.5	28
GWV	–		–		7

Table 3. Descriptive statistics of Monte Carlo simulated MCA weights.

	SAC (%)	SPA (%)	GWV (%)
Mean	60	31	9
Standard Deviation	11	8	5

Table 4. Occurrences of combined suitability and uncertainty classes (Classification method: Jenks).

Suitability Uncertainty	High Suitability	Medium High Suitability	Medium Low Suitability	Low Suitability
High Uncertainty	0	26	24,002	38,410
Medium High Uncertainty	3	7999	36,258	44,771
Medium Low Uncertainty	1978	44,601	34,725	14,369
Low Uncertainty	69,505	54,969	38,186	19,565