PROXIMITY TO PUBLIC FACILITIES

JUSTIFICATION FOR USE:

Another assumption that we made was that areas located near certain facilities, like schools and hospitals, would be more suitable for development. Similarly, areas that were located near other facilities, like prisons and wastewater treatment plants, would be less suitable for development. Because of this we created a new information layer, or coverage, which showed areas near some of these facilities.

PROCESS:

This information layer was based on a coverage that was available to us in a digital format from the Florida Geographic Data Library (FGDL. While we got the data from FGDL, it is important to note they were not the creators of this information layer. The Suwannee River Water Management District originally created the coverage, and they, in turn, gave it to the Geoplan Center for use in the FGDL. This information layer, or coverage, contained many different pieces of information, or fields, which we could analyze or display on the computer. One of the fields contained a description of the land use or land cover present in an area. This field originally contained different values for each of the different land use/cover types. We selected only those land uses that would significantly attract/repel development. We created distance buffers around these features and reclassified them into one of three categories depending on whether the feature was an attractor or detractor:

1 = Least suitable for development; 2 = Intermediate suitability; or 3 = Most suitable for development.

This classification format was used for all of the different information layers that our group created and analyzed. The reclassification was done so as to maximize the relative differences in susceptibility of each area. In other words, all of the category "1" areas have similar characteristics and are significantly different from the other two categories. The same holds for each of the other two categories as well.

RESULTS:

The result of our reclassification is a map that shows the three county area with each of the resultant three classifications which we created shaded a different color. This map then became one of many different information layers that were weighted and combined to give us our Residential and Commercial Intermediate Suitability Maps.