FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION

TITLE: GENERALIZED LAND USE DERIVED FROM PARCEL SPECIFIC LAND USE BY DISTRICT - 2007 

Geodataset Name:       D2_LU_GEN_2007
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Polygon
Feature Count:         292722
GENERAL DESCRIPTION:
This dataset contains generalized land use derived from parcel specific land use for Florida Department of Transportation (FDOT) District 2. The original 99 land use classes from the parcel data have been collapsed into 15 generalized classes. 
DATA SOURCE(S):                    University of Florida GeoPlan Center
SCALE OF ORIGINAL SOURCE MAPS:     Various
GEODATASET EXTENT:                 FDOT District 2

PUBLICATION DATE:                  20071231
TIME PERIOD OF CONTENT:            20071231
DOWNLOAD LINK:                     http://www.fgdl.org/metadataexplorer/explorer.jsp

FEATURE ATTRIBUTE TABLES: 

Datafile Name: D2_LU_GEN_2007.DBF
ITEM NAME WIDTH TYPE
OBJECTID
4 OID
Shape
4 Geometry
LANDUSE15_
2 SmallInteger
COUNT_
4 Integer
SUM_JV
8 Double
AVG_JV
8 Double
MIN_JV
8 Double
MAX_JV
8 Double
SUM_HS
4 Integer
ACRES
8 Double
DESCRIPT
50 String
FGDLAQDATE
36 Date
AUTOID
4 Integer
SHAPE.AREA
0 Double
SHAPE.LEN
0 Double

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item

Item Description





OBJECTID

Internal feature number.
















Shape

Feature geometry.
















LANDUSE15_

The 15 generalized land use code numbers.
















COUNT_

Number of individual parcels generalized into new record.
















SUM_JV

Sum of the just values. Factors to be considered in determining just value are: present cash value; use; location; quantity or size; cost; replacement value of improvements; condition; income from property; and net proceeds if the property is sold. The net proceeds equal the value of the property minus 15% of the true market value. This accounts for the cost of selling the property.
















AVG_JV

Average of the just values
















MIN_JV

Minimum just value found
















MAX_JV

Maximum just value found
















SUM_HS

SUM_HS is the sum of all of the Homesteaded properties that fell within the polygon.
















ACRES

Number of Acres.
















DESCRIPT

FGDL added field derived from parcels specific landuse.
















FGDLAQDATE

The date FGDL acquired the data from the Source.
















AUTOID

Unique ID added by GeoPlan
















SHAPE.AREA

Area in meters
















SHAPE.LEN

Perimeter in meters




























USER NOTES:








This data is provided 'as is'. GeoPlan relied on the integrity
of the original data layer's topology













This data is provided 'as is' by GeoPlan and is complete to our
knowledge.













GeoPlan relied on the integrity of the attribute information within
the original data.













Florida Department of Transportation Districts

FDOT District 1
    SOUTHWEST FLORIDA
    Major cities: Arcadia, Bartow, Bradenton, Fort Myers, Lakeland, Naples, 
                  North Port, Sarasota, Sebring, and Venice.
    Counties: Charlotte, Collier, De Soto, Glades, Hardee, Hendry, Highlands, Lee, 
              Manatee, Okeechobee, Polk, and Sarasota.

FDOT District 2
    NORTHEAST FLORIDA
    Major cities: Gainesville, Jacksonville, Lake City, Palatka, Perry, Saint 
                  Augustine, and Starke.
    Counties: Alachua, Baker, Bradford, Clay, Columbia, Dixie, Duval, Gilchrist, 
              Hamilton, Lafayette, Levy, Madison, Nassau, Putnam, St. Johns, Suwannee, 
              Taylor, and Union.

FDOT District 3
    NORTHWEST FLORIDA
    Major cities: Apalachicola, Chipley, Crestview, Fort Walton Beach, Marianna, 
                  Panama City, Pensacola, Quincy, and Tallahassee.
    Counties: Bay, Calhoun, Escambia, Franklin, Gadsden, Gulf, Holmes, Jackson, 
              Jefferson, Leon, Liberty, Okaloosa, Santa Rosa, Wakulla, Walton, and 
              Washington.

FDOT District 4
    SOUTHEAST FLORIDA
    Major cities: Belle Glade, Boca Raton, Fort Lauderdale, Fort Pierce, Hollywood,
                  Pompano Beach, Stuart, Vero Beach, and West Palm Beach.
    Counties: Broward, Indian River, Martin, Palm Beach, and St. Lucie.

FDOT District 5
    CENTRAL FLORIDA
    Major cities: Daytona Beach, DeLand, Melbourne, Merritt Island, Ocala, 
                  Orlando, and Titusville.
    Counties: Brevard, Flagler, Lake, Marion, Orange, Osceola, Seminole, Sumter, 
              and Volusia.

FDOT District 6
    SOUTH FLORIDA
    Major cities: Coral Gables, Hialeah, Key West, and Miami.
    Counties: Miami-Dade and Monroe.

FDOT District 7
    WEST CENTRAL FLORIDA
    Major cities: Brooksville, Clearwater, Dunedin, Largo, New Port Richey, St. 
                  Petersburg, and Tampa.
    Counties: Citrus, Hernando, Hillsborough, Pasco, and Pinellas.















The data was created to serve as base information for use in GIS
systems for a variety of planning and analytical purposes.















This data is provided 'as is' and its horizontal positional accuracy
has not been verified by GeoPlan















This data is provided 'as is' and its vertical positional accuracy
has not been verified by GeoPlan















NONE














The Florida Geographic Data Library is a collection of Geospatial Data
compiled by the University of Florida GeoPlan Center with support from
the Florida Department of Transportation. GIS data available in FGDL is
collected from various state, federal, and other agencies (data sources)
who are data stewards, producers, or publishers. The data available in
FGDL may not be the most current version of the data offered by the
data source. University of Florida GeoPlan Center makes no guarantees
about the currentness of the data and suggests that data users check
with the data source to see if more recent versions of the data exist.

Furthermore, the GIS data available in the FGDL are provided 'as is'.
The University of Florida GeoPlan Center makes no warranties, guaranties
or representations as to the truth, accuracy or completeness of the data
provided by the data sources. The University of Florida GeoPlan Center
makes no representations or warranties about the quality or suitability
of the materials, either expressly or implied, including but not limited
to any implied warranties of merchantability, fitness for a particular
purpose, or non-infringement. The University of Florida GeoPlan Center
shall not be liable for any damages suffered as a result of using,
modifying, contributing or distributing the materials.

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








REFERENCES: 






Florida Geographic Data Library:
http://www.fgdl.org/

For Department of Revenue info:
http://www.myflorida.com/dor/









DATA LINEAGE SUMMARY: 








GeoPlan used the available Florida Department of
Transportation (FDOT) District 2 2007 parcel tax data records 
gathered from the State Department of Revenue (DOR) to 
create the generalized land use shapefile.

The generalized landuse shapefile was created by taking the 
existing parcel data and using Alachua as a template to make 
an empty shapefile with the same specs. Next Label Points for 
each polygon were created from the parcel data using X-tools 
Pro. Based on the 99 available land uses found in the parcel 
data's DORUC field, 15 generalized land uses were derived.
A single part dissolve was then run based on the 15 land uses.
Next a spatial Join was run linking the parcel data's label points 
to the dissolved 15 land uses. 

Summary statistics were created  for each field during this join to 
represent the: Minimum value found, the Maximum value found, 
the Sum value, the Average value of all the Values per dissolved 
polygon. 

A multi delete script was then run to remove any unwanted fields 
and a Descript field was added based on the Generalized Land 
Use Class.

From the original DOR Tax Data a new field was created called HS. 
HS was calculated based on whether each parcel had a HMSTDVAL 
value or not. Where a parcel was Homesteaded the HS field received 
a 1 and where it was not it received a 0. SUM_HS is the sum of all of 
the Homesteaded properties that fell within the polygon. 

Next the Simplify Polygon GeoProcessing Function was used with 
the Point Remove Algorithm to remove redundant points, such as 
over-digitized vertices found throughout the layer, this function was 
also used to compress the file size of the layer via a relatively low 
degree of simplification.  Then during this simplification process a 
tolerance equal to 1-meter was set in order to allow for a maximum 
offset of 1m from the original source data.  Because the original file 
size of the layer prohibited the use of the 'Resolve Errors' option, a 
'No Check' option was used during the process; because of this 
the algorithm may have introduced small topological errors to the 
simplified results.  To correct for topological errors created 
during this process the Repair Geometry Function was run.

Next each district was loaded to a File Geodatabase.  The Acres field was 
recalculated and features that were >= 0.001 were exported to a new feature 
dataset layer.  Topology Rules were then created for the newly exported features 
such as a cluster tolerance of 1m, and gaps were not allowed.  The topology was 
then validated; next the features were exported to shapefiles.  These shapefiles 
were then run through the repair geometry function to remove self intersections.  
After this was completed the ACRES field was repopulated once more using the 
Calculated Geometry function.

DESCRIPT				DORUC	DESCRIPT_1	LU_15
VACANT RESIDENTIAL			0	VACANT
                                                RESIDENTIAL	15
SINGLE FAMILY				1	RESIDENTIAL	11
MOBILE HOMES				2	RESIDENTIAL	11
MULTI-FAMILY				3	RESIDENTIAL	11
CONDOMINIA				4	RESIDENTIAL	11
COOPERATIVES				5	RESIDENTIAL	11
RETIREMENT HOMES			6	RESIDENTIAL	11
BOARDING HOMES (INSTITUTIONAL)		7	RESIDENTIAL	11
MULTI-FAMILY LESS THAN 10 UNITS		8	RESIDENTIAL	11
UNDEFINED RESERVED FOR DOR		9	RESIDENTIAL	11
VACANT COMMERCIAL			10	VACANT 
                                                NONRESIDENTIAL	13
STORES ONE-STORY			11	RETAIL/OFFICE	12
MIXED USE, I.E., STORE AND OFFICE	12	RETAIL/OFFICE	12
DEPARTMENT STORES			13	RETAIL/OFFICE	12
SUPERMARKET				14	RETAIL/OFFICE	12
REGIONAL SHOPPING MALLS			15	RETAIL/OFFICE	12
COMMUNITY SHOPPING CENTERS		16	RETAIL/OFFICE	12
ONE-STORY NON-PROFESSIONAL OFFICES	17	RETAIL/OFFICE	12
MULTI-STORY NON-PROFESSIONAL OFFICES	18	RETAIL/OFFICE	12
PROFESSIONAL SERVICE BUILDINGS		19	RETAIL/OFFICE	12
AIRPORTS, MARINAS, BUS TERMINALS,	20	RETAIL/OFFICE	12
AND PIERS
RESTAURANTS, CAFETERIAS			21	RETAIL/OFFICE	12
DRIVE-IN RESTAURANTS			22	RETAIL/OFFICE	12
FINANCIAL INSTITUTIONS			23	RETAIL/OFFICE	12
INSURANCE COMPANY OFFICES		24	RETAIL/OFFICE	12
REPAIR SERVICE SHOPS			25	RETAIL/OFFICE	12
SERVICE STATIONS			26	RETAIL/OFFICE	12
AUTOMOTIVE REPAIR, SERVICE, AND SALES	27	RETAIL/OFFICE	12
PARKING LOTS, MOBILE HOME SALES		28	RETAIL/OFFICE	12
"WHOLESALE, MANUFACTURING, AND PRODUCE 	29	RETAIL/OFFICE	12
OUTLETS"	
FLORIST, GREENHOUSES			30	RETAIL/OFFICE	12
DRIVE-IN THEATERS, OPEN STADIUMS	31	RETAIL/OFFICE	12
ENCLOSED THEATERS, AUDITORIUMS		32	RETAIL/OFFICE	12
NIGHT CLUBS, BARS, AND COCKTAIL LOUNGES	33	RETAIL/OFFICE	12
BOWLING ALLEYS, SKATING RINGS, ENCLOSED 34	RETAIL/OFFICE	12
ARENAS	
TOURIST ATTRACTIONS			35	RETAIL/OFFICE	12
CAMPS					36	RETAIL/OFFICE	12
RACE HORSE, AUTO, AND DOG TRACKS	37	RETAIL/OFFICE	12
GOLF COURSES				38	RECREATION	10
HOTELS, MOTELS				39	RETAIL/OFFICE	12
VACANT INDUSTRIAL			40	VACANT 
                                                NONRESIDENTIAL	13
LIGHT MANUFACTURING			41	INDUSTRIAL	4
HEAVY MANUFACTURING			42	INDUSTRIAL	4
LUMBER YARDS, SAWMILLS, PLANNING MILLS,	43	INDUSTRIAL	4
FRUIT, VEGETABLES, AND MEAT PACKING	44	INDUSTRIAL	4
CANNERIES, DISTILLERIES, AND WINERIES	45	INDUSTRIAL	4
OTHER FOOD PROCESSING			46	INDUSTRIAL	4
MINERAL PROCESSING			47	INDUSTRIAL	4
WAREHOUSES, AND DISTRIBUTION CENTERS	48	INDUSTRIAL	4
INDUSTRIAL STORAGE 			49	INDUSTRIAL	4
(FUEL, EQUIP, AND MATERIAL)
IMPROVED AGRICULTURE			50	AGRICULTURAL	2
CROPLAND SOIL CLASS 1			51	AGRICULTURAL	2
CROPLAND SOIL CLASS 2			52	AGRICULTURAL	2
CROPLAND SOIL CLASS 3			53	AGRICULTURAL	2
TIMBERLAND				54	AGRICULTURAL	2
TIMBERLAND				55	AGRICULTURAL	2
TIMBERLAND				56	AGRICULTURAL	2
TIMBERLAND				57	AGRICULTURAL	2
TIMBERLAND				58	AGRICULTURAL	2
TIMBERLAND				59	AGRICULTURAL	2
GRAZING LAND SOIL CLASS 1		60	AGRICULTURAL	2
GRAZING LAND SOIL CLASS 2		61	AGRICULTURAL	2
GRAZING LAND SOIL CLASS 3		62	AGRICULTURAL	2
GRAZING LAND SOIL CLASS 4		63	AGRICULTURAL	2
GRAZING LAND SOIL CLASS 5		64	AGRICULTURAL	2
GRAZING LAND SOIL CLASS 6		65	AGRICULTURAL	2
ORCHARD, GROVES, CITRUS			66	AGRICULTURAL	2
POULTRY, BEES, TROPICAL FISH, 		67	AGRICULTURAL	2
RABBITS, ETC
DAIRIES, FEED LOTS			68	AGRICULTURAL	2
ORNAMENTALS, MISC. AGRICULTURE		69	AGRICULTURAL	2
VACANT INSTITUTIONAL			70	VACANT 
                                                NONRESIDENTIAL	13
CHURCHES				71	INSTITUTIONAL	5
PRIVATE SCHOOLS				72	INSTITUTIONAL	5
PRIVATE HOSPITALS			73	INSTITUTIONAL	5
HOMES FOR AGED				74	INSTITUTIONAL	5
ORPHANAGES				75	INSTITUTIONAL	5
MORTUARIES, CEMETERIES			76	INSTITUTIONAL	5
CLUBS, LODGES, AND UNION HALLS		77	INSTITUTIONAL	5
SANITARIUMS, CONVALESCENT, 		78	INSTITUTIONAL	5
AND BEST HOMES
CULTURAL ORGANIZATIONS			79	INSTITUTIONAL	5
UNDEFINED				80	OTHER		7
MILITARY				81	INSTITUTIONAL	5
FOREST, PARK, AND RECREATIONAL AREAS	82	RECREATION	10
PUBLIC SCHOOLS				83	PUBLIC/		8
						SEMI-PUBLIC
COLLEGES				84	INSTITUTIONAL	5
PUBLIC HOSPITALS			85	PUBLIC/		8
						SEMI-PUBLIC
OTHER COUNTIES				86	PUBLIC/		8
						SEMI-PUBLIC
OTHER STATE				87	PUBLIC/		8
						SEMI-PUBLIC
OTHER FEDERAL				88	PUBLIC/		8
						SEMI-PUBLIC
OTHER MUNICIPAL				89	PUBLIC/		8
						SEMI-PUBLIC
GOV. OWNED LEASED BY NON-GOV. LESSEE	90	PUBLIC/		8
						SEMI-PUBLIC
UTILITIES				91	PUBLIC/		8
						SEMI-PUBLIC
MINING, PETROLEUM, AND GAS LANDS	92	MINING		6
SUBSURFACE RIGHTS			93	MINING		6
RIGHTS-OF-WAY STREETS, 			94	ROW		9
ROADS, AND CANALS
RIVERS, LAKES, AND SUBMERGED LANDS	95	WATER		14
SEWAGE DISPOSAL, BORROW PITS, 		96	OTHER		7
AND WETLANDS
OUTDOOR RECREATIONAL			97	RECREATION	10
CENTRALLY ASSESSED			98	CENTRALLY 	3
						ASSESSED
ACREAGE NOT ZONED FOR AGRICULTURAL	99	ACREAGE NOT 	1
						ZONED FOR 
						AGRICULTURE
Process Date: 20090514


Data imported to ArcSDE and exported as a shapefile.
Process Date: 20090605









MAP PROJECTION PARAMETERS: 



Projection                          ALBERS
Datum                               HPGN
Units                               METERS
Spheroid                            GRS1980
1st Standard Parallel               24  0  0.000
2nd Standard Parallel               31 30  0.000
Central Meridian                   -84 00  0.000
Latitude of Projection's Origin     24  0  0.000
False Easting (meters)              400000.00000
False Northing (meters)             0.00000




DATA SOURCE CONTACT (S):








Name:
Abbr. Name:
Address:


Phone:

Web site:
E-mail:
Contact Person:
         Phone:
        E-mail:




University of Florida GeoPlan Center
GeoPlan
431 Architecture Building PO Box 115706
Gainesville, FL
32611-5706



http://www.fgdl.org
data@fgdl.org
Kate Norris









FGDL CONTACT:

Name:                   FLORIDA GEOGRAPHIC DATA LIBRARY
Abbr. Name:             FGDL
Address:                Florida Geographic Data Library
                        431 Architecture Building
                        PO Box 115706
                        Gainesville, FL  32611-5706
Web site:               http://www.fgdl.org

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