Spatial Multi Criteria Evaluation SMCE Method

2.3 Spatial Multi Criteria Evaluation SMCE Method

Spatial multi criteria decision problems characteristically require a set of geographically-defined alternatives events from which a choice of one or more alternatives is made with respect to be given to set of assessment criteria Malczewski 1999. Figure 2 Spatial multi criteria evaluation scheme SMCE consists of two components standardization and weighting. Standardization of constraints is similar to standardization of factors but it is not completely the same and weighting are the relative importance that are part of the main goal or how the considerable of factor influence the main goal. SMCE method can be the idea of a process that combines and transforms spatially referenced data input into a resultant vulnerability score output. The advantage of using SMCE are the user will easily compare criteria and criteria trees with each other to determine differences and discover what are exactly the reasons that result to a significantly different composite map, which may lead to a different decision or different rank at certain area. This study uses ranking method. This method is the simplest method to investigate weighting based on ranking. In Ranking Method, every criterion under consideration is ranked in the order of the decision maker’s preference. There are two common ways of doing this; Straight ranking most important =1, second important=2 or the inverse ranking the least important = 1, next least important = 2 etc. The Inverse ranking was applied to these factors. In ranking method, every criterion under consideration is ranked in the order of the decision maker’s preference. To generate criterion values for each evaluation unit, each factor was weighted according to the estimated significance for most potential for oil palm plantations and pairwise comparison method to determine the weights for the criteria. This method involves the comparison of the criteria after criteria is assigned, and then conducted some procedure to make numeric weighting form available ranking information. One method used for this study is rank sum. The formula of Rank sum is: Where W j are normalization weighting for the criteria j, n to the number of considered criteria k=1,2,…,n and r j are importance criteria rank Malczewski 1999. The purpose from criteria weighted is to express the level interest based on the value that is given by decision maker. Interest weighting to calculate the criteria is depending on:  Interest variation range change to criteria calculation  Degree of interest difference to variation of this range Kirkwood in Malczewsky 1999.

2.4 Oil Palm and Potential Land Suitability