A note about data scale:
Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data.
1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger.
Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: <http://geoplan.ufl.edu/education.html>
For Department of Revenue info: <http://www.myflorida.com/dor/>
Desoto city, highlands FL - not incorporated
Eastpoint, Franklin FL - not incorporated
Lake Asbury, Clay FL - not incorporated
Lanark Village, Franklin, FL - not incorporated
Reedy Creek, Orange, FL - not incorporated
Sanderson, Baker, FL - not incorporated
Within the county parcel datasets is information regarding tax codes in the field 'TAXAUTHCD'. In this field, a value, or id number, is listed that corresponds to a city. Using this field and ArcMap 9.2, the tax code boundaries were mapped and classified according to this tax code id#.
These tax code id# were then used in a series of geoprocessing steps to derive a city limit layer.
After the creation of these cities all data was appropriately named and then merged to make one statewide dataset.
#Step 1 #From parcels directory dissolve by county on the TAXAUTHCD - Multi-part #Export to C:\kate\dissolve_tax\step1 folder
#Step 2 #Add AUTOID Field and Calc in Step1 Folder
#Step 3 #Add COUNTY Field and Calc in Step1 Folder
#Step 4 #Remove TAXAUTHCD = '' #This makes files smaller #Export to Step4 Folder
#Step 5 #Create Statewide layer via description in python Step 5 Script
#Step 6 #Create City Layers #Export to Step6 Folder
#Step 7 #Multi-part to Single part for each city layer #Export to Step7 Folder
#Step 8 #Simplify polygon by 1 meter #Export to Step8 Folder
#Step 9 #Integrate 1 meter in same folder
#Step 10 #Repair Geometry 2x in same folder
#Step 11 #Aggregate polygons 65 meter #Export to Step11 Folder #Computer will hit maximum number of features during processing, #so perform this aggregation step 4 times.
#Step 12 #Aggregate polygons 100 meter #Export to Step12 Folder
#Step 13 #Polygon to line #Export to Step13 Folder
#Step 14 #Feature to Polygon #Export to Step14 Folder
#Step 15 #Dissolve on ID field #Export to Step15 Folder
#Step 16 #Create and Calculate AUTOID_NUM field with layer name in same folder
#Step 17 #Put all cities together statewide via append.
#Step 18 #Find and Replace to get number in AUTOID_NUM field.
#Step 19 #Calc ID Field as AUTOID_NUM number.
#Step 20 #Dissolve Statewide based on ID Field.
#Step 21 #Join PLACENAME AND COUNTY names back over based on #table join via the ID and the AGG_NUM from the table.
Islandia - was obtained from GeoPlan's 1998 'CITYLM'. Caryville - was obtained from GeoPlan's 1998 'CITYLM'. Crystal River - was obtained from GeoPlan's 1998 'CITYLM'. Sopchoppy - was obtained from a Mapinfo image and county parcel data was selected to the best of our ability to best represent the information from the image.
All data was merged, creating a Statewide city limits dataset.
Currently there are several counties that have parcel datasets with less than 100 percent completion, for these counties the absence of based data results in the absence of city limit boundaries for those areas. The resulting derived city limit dataset can only be as accurate as the base dataset.