engutf8datasetdatasetU.S. Department of Agriculture, Natural Resources Conservation ServiceState Soil Scientist(787) 766-5206, Ext. 240800-877-8339(787) 766-5987USDA - NRCSPO Box 364868San JuanPR00936-4868carmen.santiago@pr.usda.govpointOfContact2018-12-05ISO 19139 Geographic Information - Metadata - Implementation Specification2007geometryOnlycomposite267546566EPSG8.7(10.3.1)Soil survey mapping units, Puerto Rico, USDA-Natural Resources Conservation Service2015-09-29publicationU.S. Department of Agriculture, Natural Resources Conservation ServiceFort Worth, TexaspublisherU.S. Department of Agriculture, Natural Resources Conservation ServiceoriginatormapDigitalpr684This 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 consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous 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.GEODATASET COMPILED FROM THESE SOURCES (Regions): Downloaded spatial and tabular data from NRCS in October 22, 2018ARECIBO (682) tabular & spatial; incomplete; survey area: (14) Sept 17, 2015, table (12) Sep 17, 2018; spatial: (03) Dec 19, 2013MAYAGÜEZ (684) tabular & spatial: incomplete; survey area (14) Sept 17, 2018; table (12) Sep 17, 2018; spatial (06) Sept 29, 2015SAN JUAN (686) tabular & spatial: incomplete; survey area (12) Sept 17, 2018; table (13) Sep 17, 2018; spatial (04) Sept 29, 2015PONCE (688) tabular & spatial: incomplete; survey area (10) Sept 17, 2018; table (09) Sep 17, 2018; spatial (05) Sept 29, 2015HUMACAO (689) tabular & spatial: inomplete; survey area (10) Sept 17, 2018; table (09) Sep 17, 2018; spatial (05) Sept 29, 2015EL YUNQUE (700) tabular & spatial: Complete; survey area (09) Sept 17, 2018; table (12) Sep 17, 2018; spatial (02) Dec 16, 2013SAN GERMÁN (787) tabular & spatial: Complete; survey area (10) Sept 17, 2018; table (09) Sep 17, 2018; spatial (02) Dec 19, 2013SPATIAL DATA: Reprojected from WGS84 (Lat/Long) to EPSG: 6566 (State Plane, PR, NAD83(2011)) November, 2018Two tables MAPUNIT and MUAGGTT tables were appended to this dataset from disparate soil survey Regions on MS Access Databases provided by NRCS. These tables contain aggregated data about soil mapping units. For a descripton of soil attribute names and metadata go to: https://www.nrcs.usda.gov/wps/PA_NRCSConsumption/download?cid=stelprdb1241114&ext=pdfDATA COLUMN NAMES ON APPENDED TABLES:musym: Mapunit Symbolmuname: Map unit namemustatus: Statusslopegraddcp: Slope Gradient - Dominant Componentslopegradwta: Bedrock Depth - Minimumbrockdepmin: Bedrock Depth - Minimumwtdepannmin: Water Table Depth - Annual - Minimumwtdepaprjunmin: Water Table Depth - April - June - Minimumflodfreqdcd: Flooding Frequency - Dominant Conditionflodfreqmax: Flooding Frequency - Maximumpondfreqprs: Ponding Frequency - Presenceaws025wta: Available Water Storage 0-25 cm - Weighted Averageaws050wta: Available Water Storage 0-50 cm - Weighted Averageaws0100wta: Available Water Storage 0-100 cm - Weighted Averageaws0150wta: Available Water Storage 0-150 cm - Weighted Averagedrclassdcd: Drainage Class - Dominant Conditiondrclasswettest: Drainage Class - Wettesthydgrpdcd: Hydrologic Group - Dominant Conditionsiccdcd: Irrigated Capability Class - Dominant Conditioniccdcdpct: Irrigated Capability Class - Dominant Condition Aggregate Percentniccdcd: Non-Irrigated Capability Class - Dominant Conditionniccdcdpct: Non-Irrigated Capability Class - Dominant Condition Aggregate Percentengdwobdcd: ENG - Dwellings W/O Basements - Dominant Conditionengdwbdcd: ENG - Dwellings with Basements - Dominant Conditionengdwbll: ENG - Dwellings with Basements - Least Limitingengdwbml: ENG - Dwellings with Basements - Most Limitingengstafdcd: ENG - Septic Tank Absorption Fields - Dominant Conditionengstafll: ENG - Septic Tank Absorption Fields - Least Limitingengstafml: ENG - Septic Tank Absorption Fields - Most Limitingengsldcd: ENG - Sewage Lagoons - Dominant Conditionengsldcp: ENG - Sewage Lagoons - Dominant Componentenglrsdcd: ENG - Local Roads and Streets - Dominant Conditionengcmssdcd: ENG - Construction Materials; Sand Source - Dominant Conditionengcmssmp: ENG - Construction Materials; Sand Source - Most Probableurbrecptdcd: URB/REC - Paths and Trails - Dominant Conditionurbrecptwta: URB/REC - Paths and Trails - Weighted Averageforpehrtdcp: FOR - Potential Erosion Hazard (Road/Trail) - Dominant Componenthydclprs: Hydric Classification - Presenceawmmfpwwta: AWM - Manure and Food Processing Waste - Weighted Averagefarmlndcl: Farm Classmuacres: Total AcresSSURGO 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 VERSION HAS 2 TABLES APPENDED TO THIS GEODATASET: MAPUNIT & MUAGGTT. Source data: USDA Natural Resources Conservation Service,
Append regions on one coverage and join tables: PR Office of Management and BudgetcompletedU.S. Department of Agriculture, Natural Resources Conservation ServiceState Soil Scientist(787) 766-5206, Ext. 240800-877-8339(787) 766-5987PO Box 364868USDA - NRCSSan JuanPR00936-4868carmen.santiago@pr.usda.govpointOfContactasNeededMoca QuadrangleSabana Grande QuadrangleSan Sebastian QuadranglePuerto RicoIsabela QuadrangleMaricao QuadrangleIsla Mona (digital) W QuadrangleAguadilla OE N QuadrangleMayaguez AreaQuebradillas QuadrangleMayaguez QuadrangleAguadilla QuadrangleYauco QuadrangleMonte Guilarte QuadrangleSan German QuadrangleBayaney QuadrangleCentral La Plata QuadranglePuerto Real QuadrangleRincon QuadrangleRosario QuadrangleRincon OE W QuadrangleIsla Mona (digital) E Quadrangle(ALL WATER) QuadrangleplaceUSGS Geographic Names Information System (GNIS)Soil Survey Geographicsoilssoil surveySSURGOthemeDownloadable DataThe U.S. Department of Agriculture, Natural Resources Conservation Service, should be acknowledged as the data source in products derived from these data. This data set is not designed for use as a primary regulatory tool in permitting or citing decisions, but may be used as a reference source. This is public information and may be interpreted by organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application. Federal, State, or local regulatory bodies are not to reassign to the Natural Resources Conservation Service any authority for the decisions that they make. The Natural Resources Conservation Service will not perform any evaluations of these maps for purposes related solely to State or local regulatory programs. Photographic or digital enlargement of these maps to scales greater than at which they were originally mapped can cause misinterpretation of the data. If enlarged, maps do not show the small areas of contrasting soils that could have been shown at a larger scale. The depicted soil boundaries, interpretations, and analysis derived from them do not eliminate the need for onsite sampling, testing, and detailed study of specific sites for intensive uses. Thus, these data and their interpretations are intended for planning purposes only. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data.Although these data have been processed successfully on a computer system at the U.S. Department of Agriculture, no warranty expressed or implied is made by the Agency regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. The U.S. Department of Agriculture will warrant the delivery of this product in computer readable format, and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer input peripherals, or when the physical medium is delivered in damaged condition. Request for adjustment of credit must be made within 90 days from the date of this shipment from the ordering site. The U.S. Department of Agriculture, nor any of its agencies are liable for misuse of the data, for damage, for transmission of viruses, or for computer contamination through the distribution of these data sets. The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, sex, religion, age, disability, political beliefs, sexual orientation, or marital or family status. (Not all prohibited bases apply to all programs.)vectorengutf8geoscientificInformation Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270-67.946-66.79618.04718.516publication date2002-09-102015-09-29true-67.949464-65.21968517.90701318.517223Digital 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.File Geodatabase Feature ClassU.S. Department of Agriculture, Natural Resources Conservation Service, National Geospatial Center of Excellence800 672 5559202 720 2600817 509 3469501 West Felix Street, Building 23Fort WorthTexas76115distributorThere 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 shapefile, format. The National Soil Information System attribute soil data are available in variable length, pipe delimited, ASCII file format.Typically within four hoursESRI shapefile9.9datasetCertain 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 are free of gaps. The tests of logical consistency are performed using vendor software. 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). Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch. Feature edges in this soil survey are not matched to those in Arecibo Area, Puerto Rico Northern Part, Ponce Area, Puerto Rico Southern Part, and Lajas Valley Area, Puerto Rico, soil surveys. Feature labels do not match.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 are free of gaps. The tests of logical consistency are performed using vendor software. 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). Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch. Feature edges in this soil survey are not matched to those in Arecibo Area, Puerto Rico Northern Part, Ponce Area, Puerto Rico Southern Part, and Lajas Valley Area, Puerto Rico, soil surveys. Feature labels do not match.A map unit is a collection of areas defined and named in terms of their soil components or miscellaneous areas or both. Each map unit differs in some respect from all others in a survey area and each map unit has a symbol that uniquely identifies the map unit on a soil map. Each individual area, point, or line so identified on the map is a delineation. Soil Scientists identify small areas of soils or miscellaneous 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. A map unit has specified kinds of soils or miscellaneous areas (map unit components), each with a designated range in proportionate extent. Map units include one or more kinds of soil or miscellaneous area. Miscellaneous areas are areas that have little or no recognizable soil. 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, NRCS; Agricultural Handbook 436, Soil Taxonomy, 1995, USDA, NRCS; and all Amendments; Keys to Soil Taxonomy, (current issue) USDA, NRCS; National Soil Survey Handbook, title 430-VI,(current issue) USDA, NRCS. 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 use a single name from the dominant component in the map unit. Dissimilar components are minor in extent. The soil component in a consociation may be identified at any taxonomic level. Soil series is the lowest taxonomic level. A consociation that is named as a miscellaneous area is dominantly that kind of area and minor components do not significantly affect the use of the map unit. 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 consist of two or more dissimilar components that occur in a regularly repeating pattern. The total amount of other dissimilar components is minor extent. The following arbitrary rule determines whether complex or association is used in the name. The major components of an association can be separated at the scale of mapping. In either case, because the major components are sufficiently different in morphology or behavior, the map unit cannot be called a consociation. In each delineation of 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 are not consistently associated geographically and, therefore, do not always occur together in the same map delineation. These components are included in the same named map unit because their use and management are the same or very similar for common uses. Generally they are grouped together because some common feature, such as steepness, stoniness, or flooding, determines their use and management. If two or more additional map units would serve no useful purpose, they may be included in the same unit. Each delineation has at least one of the major components, and some may have all of them. The same principles regarding the proportion of minor components that apply to consociations also apply to undifferentiated groups. The same principles regarding proportion of inclusion 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 5 acres.The attribute accuracy is tested by manual comparison of the source with hard copy plots and/or symbolized display of the map data on an interactive computer graphic system. Selected attributes that cannot be visually verified on plots or on screen are interactively queried and verified on screen. In addition, the attributes are tested against a master set of valid attributes. All attribute data conform to the attribute codes in the signed classification and correlation document and amendment(s).The accuracy of these digital data is based upon their compilation to base maps that meet National Map Accuracy Standards at a scale of 1 inch equals 1,000 feet. 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.Field procedures for the Caribbean National Forest Soil Survey map units and special soil features were digitally registered, compiled and determined by field observations and by interpretation of remotely sensed data. Boundaries were verified at closely spaced intervals, and the soils in each delineation were identified by traversing and transecting the landscape. Soil scientists described and sampled the soil, analyzed samples in the laboratory, and statistically analyzed the data. The classification and map unit names were finalized at the final correlation in 2010.HUMACAO REGION: Soil map unit delineations and special soil features were manually compiled to overlays registered to OMB-CRIM stable-base orthophotographs at 1:20000 scale by NRCS soil scientists in Puerto Rico. Quality control was done by Auburn MLRA staff and Caribbean Area, Soil Scientist Liaison. Overlays were scanned by Midwest Graphics in Milwaukee, Wisconsin with an Intergraph scanner at 300 dpi resolution. Digitizing was done by Missouri NRCS Digitizing Unit staff. Raster editing and vector conversion were done in R2V Able Software. The vector files were translated to dxf format and imported into ARC/INFO 9.0. Arc Macro Language programs were used to project, attribute, edge match, and error check the data in ARC/INFO. Check plots of each quadrangle were compared to the scanned source materials for accuracy. Errors in the source material were reviewed and corrected by NRCS personnel in Puerto Rico. These corrections were incorporated into the digital data. Edits were made in Arc/Edit. Selected arcs have been generalized to eliminate unnecessary vertices in the survey boundary. A new ARC/INFO coverage reflecting these edits was produced and reviewed for adherence to SSURGO standards by Missouri NRCS Regional Digitizing Unit staff. The certified data were uploaded to the Soil Data Warehouse for archiving and distribution.ARECIBO & SAN JUAN REGIONS: Soil map unit delineations and special soil features were manually compiled to overlays registered to U.S.G.S. 7.5-minute stable-base orthophotographs at 1:20,000 scale by Kari K. Cartographic Services in Warrenton, Oregon. Quality control was done by Auburn MLRA staff and Caribbean Area, Soil Scientist Liaison. Overlays were scanned by Midwest Graphics, Milwaukee, WI, with an Intergraph scanner at 300 dpi resolution. Digitizing was done by Missouri NRCS Digitizing Unit staff. Raster editing and vector conversion were done in LT4X 4.11. The vector files were translated in LT4X to DXF and imported into ARC/INFO 7.1.1. Arc Macro Language programs were developed to project, attribute, edge match, and error check the data within ARC/INFO. Check plots of each 7.5-minute quadrangle were compared to the scanned source materials and checked against the published survey for accuracy. Errors on the source material were reviewed and corrected by NRCS Soil Scientist Liaison in Puerto Rico. These corrections were incorporated into the digital data. Special features were manually digitized in ARC/INFO. All data were translated to DLG-3 optional format in ARC/INFO 7.1.1. The DLG-3 files were imported into ARC/INFO 7.2.1 and reviewed for adherence to SSURGO standards by Missouri Digitizing Unit staff. Edits were made in ARCEDIT. New DLGs reflecting these edits were written with ARC/INFO 7.2.1.2000-01-01T00:00:00The National Soil Information System data base was developed by Natural Resources Conservation Service soil scientists according to national standards.2002-01-01T00:00:00Mayaguez Area, Puerto Rico Western Part, had a previously published soil survey, 1975, at a scale of 1:20000. A detailed evaluation of this survey showed that the soil delineations and map unit components were accurate.2002-01-01T00:00:00Lajas Valley Area, Puerto Rico, had a previously published soil survey, 1965, at a scale of 1:20000. A detailed evaluation of this survey showed that the soil delineations and map unit components needed updates.2002-01-01T00:00:00Soil map unit delineations and special soil features were manually compiled to overlays registered to USGS 7.5-minute stable-base orthophotographs at 1:20,000 scale by Kari K. Cartographic Services in Oregon. Quality control was done by Auburn MLRA staff and Caribbean Area Soil Scientist Liaison. Overlays were scanned by Midwest Graphics, in Milwaukee, WI, with an Intergraph scanner at 300 dpi resolution. Digitizing was done by Missouri NRCS Digitizing Unit staff. Raster editing and vector conversion were done using R2V Able Software. The vector files were translated to DXF and imported into Arc/Info 7.2.1. Arc Macro Language programs were used to project, attribute, edge match, and error check the data in Arc/Info. Check plots of each quadrangle were compared to the scanned source materials for accuracy. Errors in the source material were reviewed and corrected by NRCS Soil Scientist Liaison in Puerto Rico. These corrections were incorporated into the digital data by digitizing unit staff. Special features were manually digitized in Arc/Info. All data were translated to DLG-3 optional format in Arc/Info 7.2.1. The DLG-3 files were imported into Arc/Info 7.2.1 and reviewed for adherence to SSURGO standards by Missouri Digitizing Unit staff. Edits were made in Arc/Edit. Edits were made to the survey boundary to achieve an acceptable join with adjacent survey area boundaries by digitizing unit staff members in consultation with NRCS Soil Scientist Liaison in Puerto Rico. New DLGs reflecting these edits were written with Arc/Info 7.2.1.2002-01-01T00:00:00The spatial data for this survey area have been revised. The survey area boundary has been replaced. Adjustments to soil delineations have been made along the survey area boundary. A new ARC/INFO coverage reflecting these edits was produced with ARC/INFO 7.2.1 and reviewed for adherence to SSURGO standards by Missouri NRCS Regional Digitizing Unit staff.2003-01-01T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2004-12-17T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2004-12-27T00:00:00The spatial data's coordinate system was transformed to UTM Zone 19, Northern Hemisphere (NAD 83) using ESRI ArcObjects 8.3 "ConvertFeatureClass" and exported to an ESRI shapefile.2005-12-21T00:00:00The previously certified digital data were updated to change mapunit to match those in NASIS. A new ARC/INFO coverage reflecting these edits was produced with ARC/INFO 9.0 and reviewed for adherence to SSURGO standards by Missouri NRCS Regional Digitizing Unit staff. The certified data were uploaded to the Soil Data Warehouse for archiving and distribution.2006-01-01T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.2006-02-14T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2006-02-14T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.2006-07-28T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2006-07-28T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2006-12-26T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.2006-12-26T00:00:00SAN GERMÁN REGION: Soil map unit delineations and special soil features were manually compiled to overlays registered to USGS 7.5-minute stable-base orthophotographs at 1:20,000 scale by Kari K. Cartographic Services in Oregon. Quality control was done by Auburn MLRA staff and Caribbean Area Soil Scientist Liaison. Overlays were scanned by Midwest Graphics, in Milwaukee, WI, with an Intergraph scanner at 300 dpi resolution. Digitizing was done by Missouri NRCS Digitizing Unit staff. Raster editing and vector conversion were done using R2V Able Software. The vector files were translated to DXF and imported into Arc/Info 7.2.1. Arc Macro Language programs were used to project, attribute, edge match, and error check the data in Arc/Info. Check plots of each quadrangle were compared to the scanned source materials for accuracy. Errors in the source material were reviewed and corrected by NRCS Soil Scientist Liaison in Puerto Rico. These corrections were incorporated into the digital data by digitizing unit staff. Special features were manually digitized in Arc/Info. Additional edits were made to the Mayaguez Area and Lajas Valley Area surveys to create the San German Area survey. Files were imported into Arc/Info 9.1 and reviewed for adherence to SSURGO standards by Missouri Digitizing Unit staff. Edits were made in Arc/Edit. Edits were made to the survey boundary to achieve an acceptable join with adjacent survey area boundaries by digitizing unit staff members in consultation with NRCS Soil Scientist Liaison in Puerto Rico. The certified data were uploaded to the Soil Data Warehouse for archiving and distribution.2007-01-01T00:00:00The spatial data's coordinate system was transformed to UTM Zone 19, Northern Hemisphere (NAD 83) using ESRI ArcObjects 8.3 "ConvertFeatureClass" and exported to an ESRI shapefile. ESRI ArcInfo/Workstation 8.3 was used to read the shapefile, clean the double precision cover with a dangle length of 0.000001 and a fuzzy tolerance of 0.000001.2007-05-29T00:00:00The previously certified digital data were updated to faciliate a join with the San German Area, Puerto Rico soil survey. A new ARC/INFO coverage reflecting these edits was produced with ARC/INFO 9.0 and reviewed for adherence to SSURGO standards by Missouri NRCS Regional Digitizing Unit staff. The certified data were uploaded to the Soil Data Warehouse for archiving and distribution.2007-06-22T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.2007-12-13T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2007-12-13T00:00:00El Yunque National Forest was included in the topology repair project initiated by National Bulletin 430-9-5. The data was edited to insure that adjacent soil survey area boundaries are coincident within 0.1 meter, and average vertex interval is greater than 15 meters. A new ARC/INFO coverage reflecting these edits was produced with ARC/INFO 9.2, and uploaded to the soil data warehouse for archiving and distribution.2012-09-25T00:00:00EL YUNQUE National Forest Region: In 2007, the Caribbean National Forest MLRA Soil Survey Office obtained 10m DEM elevation data with extensive break lines for the CNF. The soil scientist used ArcGIS 9.2 to create slope and contour maps based on the typical standard slope groups. The slope maps were field tested by selecting specific points on the landscape and recording their exact slopes, and using differential GPS to locate those specific points in the field to compare the digital data slopes with actual field determinations. Soil scientists created slope maps, hillshade maps, and five (5) foot contour maps derived from 10m DEM's. Soil scientists used the 3D Analysis tools and National Agriculture Imagery Program (NAIP) imagery as a base for digitizing. Quad vector files were digitized and dissolved into one seamless layer, attributed, edge matched and error checked for accuracy in ArcGIS 9.2 by the soil survey staff at Mayaguez, Puerto Rico. Errors in the source material were reviewed and corrected by NRCS soil scientists in Puerto Rico. Auburn MLRA staff and the Caribbean State Soil Scientist did quality control. These corrections were incorporated into the digital data by digitizing unit staff. Additional edits were made to the Humacao and Caribbean National Forest and Luquillo surveys to create the El Yunque National Forest Soil Survey. Files were imported into Arc/Info 9.2 and reviewed for adherence to SSURGO standards by Missouri Regional Digitizing Unit staff. Edits were made in Arc/Edit. Edits were made to the survey boundary and map units to achieve an acceptable join with the adjacent Humacao Area Survey by the Missouri Digitizing Unit Staff in consultation with the NRCS Soil Scientists in Puerto Rico. The certified data were uploaded to the Soil Data Warehouse for archiving and distribution.2012-09-25T00:00:00The spatial data for Mayaguez Area, Puerto Rico Western Part soil survey area was downloaded from the Soil Data Mart on October 15, 2012. The individual shapefiles were appended into a geodatabase for the Puerto Rico and Virgin Islands region. The data were processed in ARCGIS 10.1 using a topology object with a 0.1 meter cluster tolerance for the purpose of eliminating gaps and overlaps within the region 3 soils geodatabase. Individual soil survey area data were exported as shapefiles from the regional geodatabase. A datum transformation from NAD83 to WGS84 using the NAD_1983_To_WGS_1984_1 datum transformation method was applied to the data. The data were checked with the SSURGO Evaluation scripts provided by U.S. Department of Agriculture, Natural Resources Conservation Service. The shapefiles were then uploaded to the soil data warehouse for archival and distribution.2013-01-01T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2013-12-19T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.2013-12-19T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2014-09-26T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.2014-09-26T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2014-09-29T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.2014-09-29T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2015-09-29T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.2015-09-29T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2016-09-27T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate, generated new rating values for selected interpretations using current interpretation rules from the NASIS database.2017-10-27T00:00:00The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.2018-09-17T00:00:00Ponce Area, Puerto Rico Southern Part, had a previously published soil survey, 1979, at a scale of 1:20000. A detailed evaluation of this survey showed that the soil delineations and map unit components were accurate.2018-11-06T00:00:00Humacao Area Puerto Rico, Eastern Part, had a previously published soil survey, 1977, at a scale of 1:20000. A detailed evaluation of this survey showed that the soil delineations and map unit components were accurate.2018-11-06T00:00:00Arecibo Area, Puerto Rico Northern Part, had a previously published soil survey, 1982, at a scale of 1:20000. A detailed evaluation of this survey showed that the soil delineations and map unit components were accurate.2018-11-06T00:00:00San Juan Area, Puerto Rico, had a previously published soil survey, 1978, at a scale of 1:20000. A detailed evaluation of this survey showed that the soil delineations and map unit components were accurate.2018-11-06T00:00:00