U.S. Department of Agriculture, Natural Resources Conservation Service Varies by source, approximately 1990 Fort Worth, TexasU.S. Department of Agriculture, Natural Resources Conservation Service http://SoilDataMart.nrcs.usda.gov/nrcs_soilsvector digital data State of Florida (62 counties), with the exception of the following: The spatial data for the following counties are missing: GADSDEN, NASSUA, LIBERTY, TAYLOR, VOLUSIA The spatial data is incomplete for the following counties: LAKE, MARION, PUTNUM, OSCEOLA The Everglades area is missing for: BROWARD, COLLIER, MIAMI-DADE, MONROE, PALM BEACH This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set replaces the SSOILS data in previous versions of FGDL.SSURGO depicts information about the kinds and distribution of soils on the landscape. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey. This soil survey contains information that can be applied in managing farms and wetlands; in selecting sites for roads, ponds, buildings, and other structures; and in judging the suitability of tracts of land for farming, industry, and recreation. This soil survey depicts information about the kinds and distribution of soils on the landscape. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil SurveyThis data set consists of georeferenced digital map data and computerized attribute data. The map data are in a 7.5 minute quadrangle format and include a detailed, field verified inventory of soils and nonsoil areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. Digital versions of hydrography, cultural features, and other associated layers that are not part of the SSURGO data set may be available from the primary organization listed in the Point of Contact.en Varies by data source, approximately 1990publication date CompleteAs needed -87.429040-79.87225130.98319124.492815 52681.121318796486.24617361807.504088 781587.667206 NONESSURGODetailed SoilsFlorida Counties and County Equivalents of the States of the United States and the District of Columbia (FIPS Pub 6-3) GeoScientificInformationISO 19115 Topic CategoryPlanningCadastre NONE THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. 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 Florida Geographic Data Library (FGDL) Web site: http://www.fgdl.orgmailing address

431 Architecture PO Box 115706

431 Architecture PO Box 115706

431 Architecture PO Box 115706

GainesvilleFlorida 32611-5706Web site: http://www.fgdl.org Technical Support: http://www.fgdl.org/fgdlfeed.html For FGDL Software: http://www.fgdl.org/software.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html U.S. Department of Agriculture, Natural Resources Conservation Service varies by data source, approximately 1990 text, table, mapSHAPEFILE GeoPlan relied on the integrity of the attribute information within the original data.Certain node/geometry and topology GT- polygon/chain relationships are collected or generated to satisfy topological requirements (the GT-polygon corresponds to the soil delineation). Some of these requirements include: chains must begin and end at nodes, chains must connect to each other at nodes, chains do not extend through nodes, left and right GT-polygons are defined for each chain element and are consistent throughout, and the chains representing the limits of the file (neatline) are free of gaps. The tests of logical consistency are performed using vendor software. The neatline is generated by connecting the explicitly entered four corners of the digital file. All data outside the enclosed region are ignored and all data crossing these geographically straight lines are clipped at the neatline. Data within a specified tolerance of the neatline are snapped to the neatline. Neatline straightening aligns the digitized edges of the digital data with the generated neatline (i.e., with the longitude/latitude lines in geographic coordinates). All internal polygons are tested for closure with vendor software and are checked on hard copy plots. All data are checked for common soil lines (i.e., adjacent polygons with the same label). Quadrangles are edge matched within the soil survey area and edge locations generally do not deviate from centerline to centerline by more than 0.01 inch.A map unit is a collection of areas defined and named the same in terms of their soil and/or nonsoil areas. Each map unit differs in some respect from all others in a survey area and is uniquely identified. Each individual area is a delineation. Each map unit consists of one or more components. Soil scientists identify small areas of soils or miscellaneous (nonsoil) areas that have properties and behavior significantly different than the named soils in the surrounding map unit. These minor components may be indicated as special features. If they have a minimal effect on use and management, or could not be precisely located, they may not be indicated on the map. Specific National Cooperative Soil Survey standards and procedures were used in the classification of soils, design and name of map units, and location of special soil features. These standards are outlined in Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS; Agricultural Handbook 436, Soil Taxonomy, Soil Survey Staff, 1975, USDA, SCS; and all Amendments; Keys to Soil Taxonomy, Soil Survey Staff, (current issue); National Soil Survey Handbook, title 430-VI, (current issue). The actual composition and interpretive purity of the map unit delineations were based on data collected by scientists during the course of preparing the soil maps. Adherence to National Cooperative Soil Survey standards and procedures is based on peer review, quality control, and quality assurance. Quality control is outlined in the memorandum of understanding for the soil survey area and in documents that reside with the Natural Resources Conservation Service state soil scientist. Four kinds of map units are used in soil surveys: consociations, complexes, associations, and undifferentiated groups. Consociations - Consociations are named for the dominant soil. In a consociation, delineated areas are dominated by a single soil taxon and similar soils. At least one half of the pedons in each delineation are of the same soil component so similar to the named soil that major interpretations are not affected significantly. The total amount of dissimilar inclusions of other components in a map unit generally does not exceed about 15 percent if limiting and 25 percent if nonlimiting. A single component of a dissimilar limiting inclusion generally does not exceed 10 percent if very contrasting. Complexes and associations - Complexes and associations are named for two or more dissimilar components with the dominant component listed first. They occur in a regularly repeating pattern. The major components of a complex cannot be mapped separately at a scale of about 1:24,000. The major components of an association can be separated at a scale of about 1:24,000. In each delineation of either a complex or an association, each major component is normally present, though their proportions may vary appreciably from one delineation to another. The total amount of inclusions in a map unit that are dissimilar to any of the major components does not exceed 15 percent if limiting and 25 percent if nonlimiting. A single kind of dissimilar limiting inclusion usually does not exceed 10 percent. Undifferentiated groups - Undifferentiated groups consist of two or more components that do not always occur together in the same delineation, but are included in the same named map unit because use and management are the same or similar for common uses. Every delineation has at least one of the major components and some may have all of them. The same principles regarding proportion of inclusions apply to undifferentiated groups as to consociations. Minimum documentation consists of three complete soil profile descriptions that are collected for each soil added to the legend, one additional per 3,000 acres mapped; three 10 observation transects for each map unit, one additional 10 point transect per 3,000 acres. A defined standard or level of confidence in the interpretive purity of the map unit delineations is attained by adjusting the kind and intensity of field investigations. Field investigations and data collection are carried out in sufficient detail to name map units and to identify accurately and consistently areas of about 3 or 4 acres.The accuracy of these digital data is based upon their compilation to base maps that meet National Map Accuracy Standards. The difference in positional accuracy between the soil boundaries and special soil features locations in the field and their digitized map locations is unknown. The locational accuracy of soil delineations on the ground varies with the transition between map units. For example, on long gently sloping landscapes the transition occurs gradually over many feet. Where landscapes change abruptly from steep to level, the transition will be very narrow. Soil delineation boundaries and special soil features generally were digitized within 0.01 inch of their locations on the digitizing source. The digital map elements are edge matched between data sets. The data along each quadrangle edge are matched against the data for the adjacent quadrangle. Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan U.S. Department of Agriculture, Natural Resources Conservation ServiceVaries by source, approximately 1990 tabular digital dataFort Collins, Colorado U.S. Department of Agriculture,Natural Resources Conservation Service Varies by source, approximately 1990publication date USGS, NRCS, SSURGOSpatial and Attribute Informationpublication date 24000GeoPlan downloaded this data from the NRCS in February 2006 from the NRCS webpage: http://soildatamart.nrcs.usda.gov/ in access and shapefile format. Data for Lake, Marion, Baker, Brevard, and Clay were downloaded December 2006. Osceola, Putnam Sarasota, and Seminole were downloaded January 2007. Python scripts in ArcGIS 9.2 were run that joined various fields from the access tables to the shapefile. Because the soils database is a relational database and data has been joined to a shapefile some data will be lost. Data was joined from 5 different tables within the access database: MUAGGATT, MAPUNIT, COMPONENT, CHORIZON, CHTEXTUREGRP. In order to accommodate the flat file nature of the shapefile only the soils with the highest component percentage from the COMPONENT table were used. In addition, only the surface Horizon was used from the CHORIZON table. From these 5 tables only data from a selected group of fields were joined to the shapefile. If you wish to get more data then you can visit NRCS website and download the access database for your county. -When received the shapefile was in UTM projection and was projected to Albers HPGN. -DESCRIPT field added based on COMPNAME -FGDLAQDATE added based on date GeoPlan acquired data.20070119 VectorSimple PolygonFALSETRUE FALSE638074 G-polygon638074 coordinate pairmeters0.002048 0.002048Albers Conical Equal Area 24.00000031.500000 -84.00000024.000000400000.000000 0.000000North American Datum of 1983 Geodetic Reference System 806378137.000000298.257222 Albers Conical Equal AreaHPGN Geodetic Reference System 806378137.000000298.257222 GCS_North_American_1983_HARN Feature ClassNRCS_SOILSNRCS_SOILS.DBF 638074 FIDFIDOID4000 Internal feature number.ESRISequential unique whole numbers that are automatically generated. SHAPESHAPEGeometryFeature geometry.ESRICoordinates defining the features. AREASYMBOLAREASYMBOLString20Area Symbol: A symbol that uniquely identifies a single occurrence of a particular type of area (e.g. Lancaster Co., Nebraska) SPATIALVERSPATIALVERNumber10Spatial Version: A sequential integer number used to denote the serial version of the spatial data for a soil survey area. MUSYMMUSYMString6Mapunit Symbol: The symbol used to uniquely identify the soil mapunit in the soil survey. MUKEYMUKEYString30Mapunit Key: A non-connotative string of characters used to uniquely identify a record in the Mapunit table. COMPNAMECOMPNAMEString30Component Name: Name assigned to a component based on its range of properties. COMPPCTCOMPPCTNumber4Component Percent: The percentage of the component of the map unit. MUNAMEMUNAMEString175Mapunit Name: Correlated name of the mapunit (recommended name or field name for surveys in progress). MUACRESMUACRESNumber9Total Acres: The number of acres of a particular map unit within the geographic area to which the legend applies. The number listed here may differ from that measured using GIS software due to different measuring techniques and rounding practices, or due to the fact that the value has been adjusted so that the sum total of all map units in the legend equals that listed for soil survey area. TEXTURETEXTUREString30Tex Mod & Class: Name for the concatenation of TEXTURE_MODIFIER and TEXTURE_CLASS. BROCKDEPMIBROCKDEPMINumber4Bedrock Depth - Minimum: The distance from the soil surface to the top of a bedrock layer, expressed as a shallowest depth of components whose composition in the map unit is equal to or exceeds 15%. HYDRICRATIHYDRICRATIString10Hydric Rating: A yes/no field that indicates whether or not a map unit component is classified as a "hydric soil". If rated as hydric, the specific criteria met are listed in the Component Hydric Criteria table. DRAINAGECLDRAINAGECLString30Drainage Class: Identifies the natural drainage conditions of the soil and refers to the frequency and duration of wet periods. An example of a drainage class is well drained. NIRRCAPCLNIRRCAPCLNumber5Non Irrigation Capability Class: The broadest category in the land capability classification system for nonirrigated soils. HYDRGRPHYDRGRPString5Hydrologic Group: A group of soils having similar runoff potential under similar storm and cover conditions. Examples are A and A/D. (NSSH) CORCONCORCONString10Corrosion Concrete: Susceptibility of concrete to corrosion when in contact with the soil. CORSTEELCORSTEELString10Corrosion Steel: Susceptibility of uncoated steel to corrosion when in contact with the soil. MUKINDMUKINDString25Mapunit Kind: Code identifying the kind of mapunit. Example: C - consociation. FRMLNDCLFRMLNDCLString125Farmland Classification: Identification of map units as prime farmland, farmland of statewide importance, or farmland of local importance. FLODFREQDCFLODFREQDCString15Flooding Frequency - Dominant Condition: The annual probability of a flood event expressed as a class. This column displays the dominant flood frequency class for the map unit, based on composition percentage of map unit components whose composition in the map unit is equal to or exceeds 15%. FLODFREQMAFLODFREQMAString15Flooding Frequency - Maximum: The annual probability of a flood event expressed as a class. This column displays the highest probability class assigned to an individual component of the map unit whose composition in the map unit is equal to or exceeds 15%. ENGLRSDCDENGLRSDCDString30The rating of the map unit as a site for local roads and streets, expressed as the dominant rating class for the map unit, based on composition percentage of each map unit component. DESCRIPTDESCRIPTString60GeoPlan added field based on CompnameGeoPlan FGDLAQDATEFGDLAQDATEDate8Date GeoPlan acquired data from source.GeoPlanMap Unit Delineations are closed polygons that may be dominated by a single soil or nonsoil component plus allowable similar or dissimilar soils, or they can be geographic mixtures of groups of soils or soils and nonsoil areas. The map unit symbol uniquely identifies each closed delineation map unit. Each symbol is linked to a map unit name. The map unit symbol is also the key for linking information in the National Soil Information System tables. The map unit symbols are not carried within the modified Digital Line Graph file; however, they are made available in a companion attribute file. The attribute file links the minor codes in the Digital Line Graph files to the map unit symbols. Map Unit Delineations are described by the National Soil Information System database. This attribute database gives the proportionate extent of the component soils and the properties for each soil. The database contains both estimated and measured data on the physical and chemical soil properties and soil interpretations for engineering, water management, recreation, agronomic, woodland, range, and wildlife uses of the soil. The National Soil Information System database contains static metadata. It documents the data structure and includes such information as what tables, columns, indexes, and relationships are defined as well as a variety of attributes of each of these database objects. Attributes include table and column descriptions and detailed domain information. The National Soil Information System database also contains a distribution metadata. It records the criteria used for selecting map units and components for inclusion in the set of distributed data. Special features are described in the feature table. It includes a feature label, feature name, and feature description for each special and ad hoc feature in the survey area.U.S. Department of Agriculture. 1999. Soil Taxonomy: A basic system of soil classification for making and interpreting soil surveys. Soil Conserv. Serv., U.S. Dep. Agric. Handb. 436. U.S. Department of Agriculture. (current issue). Keys to Soil Taxonomy. Soil Surv. Staff, Soil Conserv. Serv. U.S. Department of Agriculture. (current issue). National Soil Survey Handbook, title 430-VI. Soil Surv. Staff, Natural Resources Conservation Service. U.S. Department of Agriculture. 1993. Soil Survey Manual. Soil Surv. Staff, U.S. Dep. Agric. Handb. 18.Florida Geographic Data Library (FGDL)mailing address

431 Architecture PO Box 115706

GainesvilleFlorida32611-5706United StatesWeb site: http://www.fgdl.org Technical Support: http://www.fgdl.org/fgdlfeed.htmlFor FGDL Software: http://www.fgdl.org/software.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlDOWNLOADABLE DATATHE FGDL DATA AS PROVIDED BY CONTRIBUTING ORGANIZATIONS AND ANY PROGRAMMING SOFTWARE CREATED BY THE UNIVERSITY OF FLORIDA GEOPLAN CENTER (COLLECTIVELY THE 'MATERIALS') ARE COPYRIGHTED BY THE UNIVERSITY OF FLORIDA GEOPLAN CENTER FOR THE FGDL CONTRIBUTING AGENCIES AND ORGANIZATIONS (THE 'DATA PROVIDERS'). DO NOT REPRODUCE, REDISTRIBUTE OR RESELL THE MATERIALS, OR PROVIDE THE MATERIALS FOR FREE TO CUSTOMERS OR CLIENTS, OR PLACE THE MATERIALS FOR DOWNLOAD ON A WEBSITE. ADDITIONALLY, WHEN USING FGDL DATA OR SOFTWARE IN PROJECTS, MAPS, ETC.; YOU AGREE TO ACKNOWLEDGE THE FGDL AS A DATA SOURCE. THE MATERIALS ARE PROVIDED 'AS IS'. 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 MAKES NO WARRANTIES, GUARANTIES OR REPRESENTATIONS AS TO THE TRUTH, ACCURACY OR COMPLETENESS OF THE DATA PROVIDED BY THE FGDL CONTRIBUTING ORGANIZATIONS. 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.ArcView shapefilespatial WinZip or equivalent18.6953.250 URL:http://SoilDataMart.nrcs.usda.gov/Select desired survey area at above Internet Web site. An email address is required for receipt of instructions on retrieval via anonymous FTP. Anticipate a delay between submission of request at Web site and receipt of email message.ARC/INFO coveragespatialWinZip or equivalent18.6953.250 URL:http://SoilDataMart.nrcs.usda.gov/Select desired survey area at above Internet Web site. An email address is required for receipt of instructions on retrieval via anonymous FTP. Anticipate a delay between submission of request at Web site and receipt of email message.ARC/INFO interchange filespatialWinZip or equivalent18.6953.250 URL:http://SoilDataMart.nrcs.usda.gov/Select desired survey area at above Internet Web site. An email address is required for receipt of instructions on retrieval via anonymous FTP. Anticipate a delay between submission of request at Web site and receipt of email message.ASCIIkeys and attributesWinZip or equivalent8.6953.250URL:http://SoilDataMart.nrcs.usda.gov/Select desired survey area at above Internet Web site. An email address is required for receipt of instructions on retrieval via anonymous FTP. Anticipate a delay between submission of request at Web site and receipt of email message.There is currently no direct charge for requesting data or for retrieval via FTP.Visit the above mentioned Internet Web Site, select state or territory, then select individual soil survey area of interest. Spatial line data and locations of special feature symbols are in ESRI ArcGIS (ArcView, ArcInfo) shapefile, coverage and interchange (i.e., export) formats. The National Soil Information System attribute soil data are available in variable length, pipe delimited, ASCII file format.Typically within four hoursThis data is intended for use with a Geographic Information Systems or Remote Sensing software package.20060119U.S. Department of Agriculture, Natural Resources Conservation ServiceWarren Henderson State Soil Scientistmailing address

2614 NW 43rd Street

GainesvilleFL32606352-338-9535(202) 720-2600352-338-9578warren.henderson@fl.usda.govContent Standard for Digital Geospatial Metadata FGDC-STD-001-1998enlocal timehttp://www.esri.com/metadata/esriprof80.htmlESRI Metadata ProfileMicrosoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.1.1332 nrcs_soils52681.121318796486.246173781587.66720661807.5040881 -87.639083-79.84612431.04268524.5010671ISO 19115 Geographic Information - MetadataDIS_ESRI1.0 dataset002file://\\Darwin\qaqc\finaldata\county\pre_load\nrcs_soils.shpLocal Area Network953.250Shapefile Albers Conical Equal Area (Florida Geographic Data Library)63807420070316170451002007032314294600 2007032314414300FALSE{07191C0E-437A-445B-A9DD-20B4F27BF0E8}{BE04BAC0-BA65-49C4-9889-44811E331018}Published20070323