Before running MCE method, WLC determines (including casinos_fuz,
hotels_fuz, landuse_rescale_suit1 (or landuse_rescale_suit2), and major_roads_fuz
) the consistency ratio, which is below 0.1. This means that
the weights assigned are logically consistent and therefore, acceptable
for use as factor values in MCE. However, the interesting thing
is that the consistency ratio stays on the same as 0.06 even although both
differenent factors of landuse and different constraints of average income
layers are used with the same factor weight.
Click here to see WLC.
As a result, the consistency ratio, 0.06, is logically acceptable.
Then, go to run MCE with two constraints including ct96_popdensity_reclass
and ct96_avgincome_30000 (then change to the file as ct96_avgincome_35000
and run again). After that, the MCEWLC image is successfully created
(table 3). Then, I go through the same procedures to run other three MCEs
(table 4, table 5, table 6). Comparing all four MCEs, they are
all similar with one exception - the constraint is applied as average income
that is equal or greater than $35000 and the factor is changed to landuse_rescale
_suit2.
The highest value, 169, only displays on one location, where is on
West Broadway between Main and Granville Streets. Reviewing other
3 images of MCE, West Broadway area has the highest values for each
image. Therefore, according to the MCE result, West Broadway
is the optimal location for building a casino.
Click here to see MCE results.