First of all, one has to reclass or assign all the raster files into Boolean images.  This means to classify the suitable areas to grow the coffee trees into a group 1 and the non suitable areas into a group 0.  Hence, one would get images that would only show two colors, green for suitable areas and black for non - suitable areas.  This process is done to all the files that were used in the project.

The following methods were used for the files to produce Boolean images.

1) File name: afprcann

This image refers to the the mean annual precipitation of Africa.  According to the research that I've done on factors that contribute to coffee tree growing, is that these trees grow in areas where there are plenty of water and precipitation.  The tree needed an annual precipitation of at least 1100mm but not over 1500mm. Hence, I used reclass for this file.

Assign a New Value of:                        To all Values from:                            To just less than:
            0                                                           -400                                              1100
            1                                                            1100                                            1500
            0                                                            1500                                            99999

The following image was produced 

2) File name:  aftmpann

This image refers to the mean annual temperature of Africa.  The coffee trees need at least a temperature of 19 degrees Celsius to grow.  However, the temperature cannot be greater than 25 degrees Celsius or else the trees will not grow properly.  A reclass function was done to this file to find out the suitable areas.

Assign a New Value of:                        To all Values from:                               To just less than:
            0                                                            -400                                                  190
            1                                                            190                                                    250
            0                                                            250                                                    99999

The following image was produced 

3) File name:  elev

This image refers to the elevation levels in Africa.  The coffee trees only grow in elevations that are between 600 - 2000m.  A reclass function was used to produce a map showing the suitable areas.

Assign a New Value of                           To all Values from:                                To just less than:
            0                                                           -6000                                                    600
            1                                                             600                                                    2000
            0                                                            2000                                                   99999

The following image was produced 

** There is a problem associated with this file from the rest of the files.  The problem of this file is discussed in the problems page. Therefore, this file was not used in the final image of the analysis.

4) File name:  agri

This file is associated with the soils that are affected by agricultural practices.  One would want to use nutrient rich soils to grow the trees and not soils that have been depleted of its richness by previous agricultural activity.  Assign function was used for this file.

This attribute file was created where the first number refers to the image's classification.  The second number refers to the new classification of 0 = non suitable areas and 1 = suitable areas.
The following image was produced 

5) File name:  chemical

This file is associated to the severity of chemical deterioration of the soils.  As with the previous file, one would not want to grow the trees in soils that are drenched with chemicals.  The chemicals would have stripped away all the soils natural nutrients.  Assign function was used.

The following image was produced 

6) File name:  forest

This file is associated with the areas that are affected by deforestation.  Areas that are affected by deforestation do not have much nutrients in the soils because the trees that were covering the soils are now gone and the soil is left opened.  Hence, all the nutrients in the top soils would be washed away by the rains.  Therefore, one would not want to grow plants in areas that are affected by deforestation.  Assign function was used.

The following image was produced 

7) File name:  popdens

This file is a little different from the rest of the files because it deals with the population density in Africa per square kilometer.  If a company wants to make a profit in the production of coffee beans, the company would need people to work on the trees.  It takes a lot of people to harvest the coffee trees, especially with arabica.  Only the red "cherries" are picked from the trees, hence, much care and labor is needed to harvest the best coffee.  Therefore, one would want to plant the trees in areas where there would be people willing to work for the company.  However, one would not want to plant in an area where there is too many people living in the area.  One would not have enough area to plant the trees!  Hence, the area should have at least  25 - 50 people per square kilometer.
Assign function used.

The following image was produced 

8) File name:  severity

This file deals with the severity of soil degradation.  As mentioned previously that one would not want to grow the crops in soils that are high in soil degradation because the soils would lack the nutrients the trees need in order to grow and flourish.  Hence, soils with no or low soil degradation would be best.  Assign function was used.

The following image was produced 

9) File name:  windsev

This file is associated with the severity of wind effects on the soil.  Areas that are highly affected by the wind tend to have nutrient lacking soils because the winds pick up some of the particles of the soil.  These particles can include nutrients and such.  Therefore, these are not areas that one would want to plant the trees.  As well, one would not want to plant trees in the areas where it is windy.  The wind can blow away the blossoms of the trees that would have become coffee beans.  This would be a loss in profits.  Therefore, one would not plant the trees in areas where the winds are high.  Assign function used.

The following image was produced 

10) File name:  waterbodies

This file was produced with vector files from ArcView.  The vector files, rivers and lakes, were converted into raster files with the functions LINERAS and POLYRAS.  Then, an OVERLAY function was used so that first covers second except in areas that equal to zero.  This produced an image showing where the rivers and lakes were in Africa, I called this image waterbodies.  As mentioned before, the coffee trees need plenty of water to grow.  Therefore, it would be best to grow the trees in locations near waterbodies.  Therefore, a buffer was used.  The buffer was set to be within 5 meters of water bodies.  The areas that were 5 meters from the waterbodies are shown here.

The final step to the project is to combine all the images together to get one final image showing the areas that are suitable for all the factors associated with growing the trees.  MCE or Multi Criteria Evaluation was used with the Boolean approach.  All the files were used as constraints in MCE, except for elev.  The following image was produced as a result 

A cartographic model of the project that shows each of the steps can be seen here.