Spatial Analysis__________________________________________________________________________ |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Three Multi-Criteria Evaluations were carried out, the first weighting more heavily on forested areas, wetlands, parks, and water. The second analysis used a more moderate weighting scheme. The third analysis weighted more heavily on agriculture and urban areas. The analytical hierarchy process (AHP) was used to determine the weighting scheme, as well as ordered weighted averaging (OWA). The AHP method uses a pairwise comparison approach to determine the weights of the various factors. The continous rating scale ranges from 1/9 being extremely less important, to 1 which is equally important, to 9 being extremely important, while the OWA weights applies weights on a pixel by pixel basis to the order of suitability scores (order weight 1 would be the lowest). The OWA weights used are provided in the table below:
Once the suitability image was produced, it was then reclassed into an image that is more easily understood for which areas are the most suitable. The same reclass values were used for each image so they could be compared to each other with more ease. The new values range from unsuitable to most suitable.
MCE-A Suitability Analysis: Heavily Weighted on Forested Areas, Wetlands, Parks, and Water Below is the table of pairwise comparisons for analysis A, and its resulting eigenvector of weights.
The eigenvector of weights is : agriculture_fuzz: 0.0189 Consistency ratio = 0.05 The resulting suitability is shown below.
MCE- B Suitability Analysis: Moderate Weighting Below is the table of pairwise comparisons for analysis A, and its resulting eigenvector of weights.
The eigenvector of weights is : agriculture_fuzz: 0.1255 Consistency ratio = 0.07 The resulting suitability is shown below.
MCE-C Suitability Analysis: Heavily Weighted on Agricultural and Urban Areas Below is the table of pairwise comparisons for analysis A, and its resulting eigenvector of weights.
The eigenvector of weights is : agri_fuzz: 0.2216 Consistency ratio = 0.07 The resulting suitability is shown below. The results all show a higher suitability to the north and east of the Fraser River Valley, most likely because these areas have had the least, if not any, development. Analysis A presents the greatest amount of suitable areas, while analysis C presents the least amount of suitable areas. Analysis A could be representative of someone in agriculture or land development because they would want to show that there are still suitable habitat locations where the Pacific Water Shrew can live. Analysis C could be representative of a conservationist, showing that there are not many suitable habitat locations and that action should be taken against further land development. Jacquelyn Shrimer ~ jshrimer@sfu.ca ~ Geog 355 |