As mentioned before, I encountered many problems with collecting data as well as with the analysis.  First of all, I had wanted to do my project on other parts of the world however, data acquisition proved to be quite difficult.  There is not a lot of data out there made for IDRISI.  Hence I tried to find ArcView data from the internet so that I can convert it to IDRISI data with FME.  However, some of this data is not quite useful for the topic that I was looking for.  As well, IDRISI needed a raster base map in order to bring the converted ArcView data into IDRISI for use.  Most of the data did not have the raster base map needed in the INITIAL function in IDRISI to bring the ArcView data into IDRISI for use.  Therefore, one would run into the complexity of trying to make a raster base map.
    Another problem with the data sets is that some of them do not have the same columns and rows.  If the image that IDRISI brings up does not have the same number of columns and rows as that of another image, overlay is not possible.  I had this problem with the data for Africa.  The elevation image does not have the same columns and rows as the other images I had used for my analysis.  Therefore, I had to separate the elevation image from the rest of the analysis.  I had to estimate the areas where the suitable elevation were for my analysis.  Luckily, most of the suitable elevation areas were near the south and the analysis of the rest of the factors were also near the south.  Hence, I could make an assumption that the suitable area for the other factors is the same for the suitable area of elevation.

        In conclusion, IDRISI is an excellent program for spatial analysis, however, there are many problems with data acquisition and using the data in IDRISI.  Much of the data in the world is made for ArcView or ArcGIS therefore, it is an overwhelming task to bring all this data made for another program into IDRISI.  This is perhaps the major flaw of IDRISI, finding the data that can be used in the program.