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/>
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 OLDCODE 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. The Ave_HMSTDVA was recalculated using this number and the Sum_HMSTDVA.
From the original DOR Tax Data a new field was created called EYR. EYR was calculated based on whether each parcel had a EFFYR value or not. Where a parcel had a value for the Effective Year the EYR field received a 1 and where it did not it received a 0. SUM_EYR is the sum of all of the properties that had an Effective Year value greater than zero that fell within the polygon. The Ave_EFFYR was recalculated using this number and the Sum_EFFYR.
From the original DOR Tax Data a new field was created called AYR. AYR was calculated based on whether each parcel had a AYRBLT value or not. Where a parcel had a value for the Actual Year the AYR field received a 1 and where it did not it received a 0. SUM_AYR is the sum of all of the properties that had an Actual Year value greater than zero that fell within the polygon. The Ave_AYRBLT was recalculated using this number and the Sum_AYRBLT.
DESCRIPT UCOLD 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