State Soil Geographic (STATSGO), New York, 1994

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Identification_Information

Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 1994
Title: State Soil Geographic (STATSGO), New York, 1994
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service
Online_Linkage: https://cugir.library.cornell.edu/catalog/cugir-007338
Description:
Abstract: This data set is a digital general soil association map developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil maps for STATSGO are compiled by generalizing more detailed soil survey maps. Where more detailed soil survey maps are not available, data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas are studied, and the probable classification and extent of the soils are determined. Map unit composition for a STATSGO map is determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the whole map unit. This data set consists of georeferenced digital map data and computerized attribute data. The map data are collected in 1- by 2-degree topographic quadrangle units and merged and distributed as statewide coverages. The soil map units are linked to attributes in the Map Unit Interpretations Record relational data base which gives the proportionate extent of the component soils and their properties.
Purpose: STATSGO depicts information about soil features on or near the surface of the Earth. These data are collected as part of the National Cooperative Soil Survey.
Supplemental_Information: Additional Information can be obtained from the
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1994
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -79.761752
East_Bounding_Coordinate: -71.857208
North_Bounding_Coordinate: 45.016818
South_Bounding_Coordinate: 40.4952
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Soils
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: geoscientificInformation
Theme_Keyword: environment
Theme:
Theme_Keyword_Thesaurus: CUGIR Category
Theme_Keyword: geology
Theme_Keyword: environment
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: New York
Access_Constraints: None
Use_Constraints: The U.S. Department of Agriculture, Natural Resources Conservation Service should be acknowledged as the data source in products derived from these data. STATSGO was designed primarily for regional, multicounty, river basin, State, and multistate resource planning, management, and monitoring. STATSGO data are not detailed enough to make interpretations at a county level. This soil survey product is not designed for use as a primary regulatory tool in permitting or citing decisions, but may be used as a reference source. The use of these data is not restricted and may be interpreted by organizations, agencies, units of government, or others; however, they are responsible for its 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. When STATSGO data are overlayed with other data layers, such as land use data, caution must be used in generating statistics on the co-occurence of the land use data with the soil data. The composition of the STATSGO map unit can be characterized independently for the land use and for the soil component, but there are no data on their joint occurrence at a more detailed level. Analysis of the overlayed data should be on a map polygon basis. Additional political, watershed, or other boundaries may be intersected with the soil data. Although the composition of each political and watershed unit may be described in terms of the STATSGO map units, information is not available to assign the components to the boundary units with full accuracy. As with the land use categories, the analysis should be restricted to the classified components. The approximate minimum area delineated is 625 hectares (1,544 acres), which is represented on a 1:250,000-scale map by an area approximately 1 cm by 1 cm (0.4 inch by 0.4 inch). Linear delineations are not less than 0.5 cm (0.2 inch) in width. The number of delineations per 1:250,000 quadrangle typically is 100 to 200, but may range up to 400. Delineations depict the dominant soils making up the landscape. Other dissimilar soils, too small to be delineated, are present within a delineation. Digital enlargements 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. Attribute data for some data elements may be incomplete or missing. Where data are unavailable, a mask should be used to exclude the area from analysis. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Department of Agriculture, Natural Resources Conservation Service
Contact_Position: State Soil Scientist
Contact_Address:
Address_Type: mailing address
Address: 100 South Clinton Street
City: Syracuse
State_or_Province: New York
Postal_Code: 13206
Contact_Voice_Telephone: 315 423 5510
Contact_Facsimile_Telephone: 315 423 5508 Contact TDD/TTY: 202 720 7808
Browse_Graphic:
Browse_Graphic_File_Name: https://cugir-data.s3.amazonaws.com/00/73/38/preview.png
Browse_Graphic_File_Description: preview of the dataset
Browse_Graphic_File_Type: PNG

Data_Quality_Information

Attribute_Accuracy:
Attribute_Accuracy_Report:
Attribute_Accuracy:
Logical_Consistency_Report: 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 state, merged into a statewide data sets, and then edge matched to adjacent state data sets. Edge locations do not deviate from centerline to centerline by more than 0.01 inches.
Completeness_Report: 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 to 21 components. In those few areas where detailed maps did not exist, reconnaissance soil surveys were combined with data on geology, topography, vegetation, climate, and remote sensing images to delineate map units and estimate the percentages of components. The STATSGO map unit components are soil series phases, and their percent composition represents the estimated areal proportion of each within STATSGO map unit. The composition for a map unit is generalized to represent the statewide extent of that map unit and not the extent of any single map unit delineation. These specifications provide a nationally consistent representation of STATSGO attribute data. The actual composition and interpretive purity of the map unit delineations were based on statistical analysis of transect data. The composition was largely determined by measuring transects on detailed soil survey maps. The number of transects used was proportional to the relative size, number, and complexity of the delineations. The combined data on the length of the map units crossed by the transects were used to determine the percentages of the different soil and nonsoil areas in each map unit. Specific limits were established on the classification of soils and the design and name of map units. These limits are outlined in U.S. Department of Agriculture. 1975. 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. 1992. Keys to Soil Taxonomy. SMSS Technical Monograph No. 19. Soil Surv. Staff, Soil Conserv. Serv.; U.S. Department of Agriculture. 1993. National Soil Survey Handbook, title 430-VI. Soil Surv. Staff, Soil Conserv. Serv.; and U.S. Department of Agriculture. 1993. Soil Survey Manual. Soil Surv. Staff, U.S. Dep. Agric. Handbook 18. Adherence to National Cooperative Soil Survey standards and procedures is based on peer review, quality control, and quality assurance. Quality control is outlined in documents that reside with the Natural Resources Conservation Service state soil scientist.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report: 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 map unit boundaries in the field and their digitized map locations is unknown. The locational acuracy of soil delineations on the ground varies with the transition between map units. For example, in areas where changes in soils, climate, topography, and geology occur subtly across a portion of a state, the transition between soil map unit boundaries will be gradual. Where these features change abruptly, such as from an area of foothills to a lake plain, the transition will be very narrow. Soil delineation boundaries were digitized within 0.01 inches of their locations on the digitizing source. The digital map elements are edge matched between data sets. The data along each state boundary are matched against the data for the adjacent state. Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S Department of Agriculture, Soil Conservation Service
Title: multiple soil survey publications
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: U.S. Government Printing Office
Source_Citation:
Citation_Information:
Originator: U.S Department of Agriculture, Soil Conservation Service
Title: multiple reconnaissance, county, and State general soil maps
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: U.S. Government Printing Office
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Title: multiple maps
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Reston, Virginia
Publisher: U.S. Geological Survey
Source_Citation:
Citation_Information:
Originator: U.S Department of Agriculture, Soil Conservation Service
Title: multiple compiled mylar overlays of map unit delineations, unpublished
Geospatial_Data_Presentation_Form: annotated overlay
Source_Scale_Denominator: 250000 Type of Source Material: stable-base material
Type_of_Source_Media: paper
Type_of_Source_Media: paper
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Time_Period_of_Content:
Source_Currentness_Reference: unknown
Source_Citation_Abbreviation: SCS1
Source_Citation_Abbreviation: SCS2
Source_Citation_Abbreviation: USGS1
Source_Citation_Abbreviation: SCS3
Source_Contribution: Base information for development of map unit delineations and transect data for naming map units.
Source_Contribution: Reference information for development of map unit delineations and transect data for naming map units where detailed surveys did not exist
Source_Contribution: Base materials for compilation of map unit delineation linework
Source_Contribution: digitizing source
Process_Step:
Process_Description: Map unit composition was determined by transecting or sampling areas on the more detailed soil maps and expanding the data statistically to characterize the whole map unit.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 1994
Process_Step:
Process_Description: Soil map unit lines and symbols were drafted in red pencil on a mylar overlay that was punch registered to fit the mylar USGS 1:250,000-scale topographic quadrangle. A detailed and complete edit was performed on all overlays before digitizing. The soil delineation overlays were raster scanned at a scanning resolution of at least 0.01 inches and converted to a vector format or were manually digitized on a digitizing tablet with a resolution of at least 0.001 inches. Four control points corresponding to the four corners of the quadrangles were used for registration during data collection. The control points were either explicitly entered or developed by the software. The data sets were edge matched and merged into statewide coverages. A detailed and complete edit was performed on all digital data.
Source_Used_Citation_Abbreviation: USGS1, SCS3
Process_Date: 1994
Process_Step:
Process_Description: CUGIR staff converted from ArcInfo interchange file (.e00) to shapefile, and joined with attributes from a previously separate .dbf file.
Process_Date: 20170724

Spatial_Data_Organization_Information

Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: G-polygon
Point_and_Vector_Object_Count: 3279

Spatial_Reference_Information

Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Albers Conical Equal Area Standard Parallel: 29.50 Standard Parallel: 45.50 Longitude of Central Meridian: -96.0 Latitude of Projection Origin: 23.0 False Easting: 0.0 False Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 6.35
Ordinate_Resolution: 6.35
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1927
Ellipsoid_Name: Clarke 1866
Semi-major_Axis: 6378206.4
Denominator_of_Flattening_Ratio: 294.9786982

Entity_and_Attribute_Information

Overview_Description:
Entity_and_Attribute_Overview: Map Unit Delineations are closed polygons that are generally geographic mixtures of groups of soils or soils and nonsoil areas. The map unit ID uniquely identifies each closed delineation, map unit. Each map unit ID is linked to a map unit name. The map unit ID is also the key for linking information in the Map Unit Interpretations Record tables. Map Unit Delineations are described by the Map Unit Interpretations Record data base. This attribute data base gives the proportionate extent of the component soils and the properties for each soil. The data base 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 Soil Map Unit Interpretations Record data base consist of the following relational tables: codes (data base codes) - stores information on all codes used in the data base comp (map unit component) - stores information which will apply to a specific component of a soil map unit compyld (component crop yield) - stores crop yield information for soil map unit components forest (forest understory) - stores information for plant cover as forest understory for soil map unit components interp (interpretation) - stores soil interpretation ratings (both limitation ratings and suitability ratings) to soil map unit components layer (soil layer) - stores characteristics which apply to soil layers for soil map unit components mapunit (map unit) - stores information which applies to all components of a soil map unit plantcom (plant composition) - stores plant symbols and percent of plant composition associated with components of soil map units plantnm (plant name) - stores the common and scientific names for plants used in the data base rsprod (range site production) - stores range site production information for soil map unit components taxclass (taxonomic classification) - stores the taxonomic classification for soils in the data base windbrk (windbreak) - stores information on recommended windbreak plants for soil map unit components wlhabit (wildlife habitat) - stores wildlife habitat information for soil map unit components woodland (woodland) - store information on common indicator trees for soil map unit components woodmgt (woodland management) - stores woodland management information for soil map unit components yldunits (yield units) - stores crop names and the units used to measure yield
Entity_and_Attribute_Detail_Citation: U.S. Department of Agriculture. 1975. Soil Taxonomy: A basic system of soil classification for making and interpreting soil surveys. Soil Conservation Service., U.S. Department Agriculture Handbook, 436. U.S. Department of Agriculture. 1992. Keys to Soil Taxonomy. SMSS Technical Monograph No. 19. Soil Survey Staff, Soil Conservation Service U.S. Department of Agriculture. 1993. National Soil Survey Handbook, Title 430-VI. Soil Surv. Staff, Soil Conservation Service U.S. Department of Agriculture. 1993. Soil Survey Manual. Soil Surv. Staff, U.S. Department of Agriculture Handbook 18. U.S. Department of Agriculture. 1993. National Soil Survey Handbook, Title 430-VI. Soil Survey Staff, Soil Conservation Service U.S. Department of Agriculture. 1994. State Soil Geographic (STATSGO) Data Base: Data use information. Soil Conservation Service U.S. Department of Agriculture. State Soil Survey Database Data Dictionary. Soil Conservation Service

Distribution_Information

Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Albert R. Mann Library
Contact_Address:
Address_Type: mailing and physical
Address: Cornell University
City: Ithaca
State_or_Province: New York
Postal_Code: 14853
Contact_Voice_Telephone: 607-255-5406
Contact_Electronic_Mail_Address: mann-ref@cornell.edu
Distribution_Liability: Cornell University provides these geographic data "as is". Cornell University makes no guarantee or warranty concerning the accuracy of information contained in the geographic data. Cornell University further makes no warranty either expressed or implied, regarding the condition of the product or its fitness for any particular purpose. The burden for determining fitness for use lies entirely with the user. Although these files have been processed successfully on computers at Cornell University, no warranty is made by Cornell University regarding the use of these data on any other system, nor does the fact of distribution constitute or imply any such warranty.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Shapefile
Format_Information_Content: zipped shapefile
File_Decompression_Technique: zip
Transfer_Size: 3.89
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Digital_Form:
Digital_Transfer_Information:
Format_Name: metadata
Format_Information_Content: FGDC XML metadata
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Format_Name: HTML metadata
Format_Information_Content: FGDC HTML metadata
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Digital_Form:
Digital_Transfer_Information:
Format_Name: KML
Format_Information_Content: generated KML, via WFS
Digital_Transfer_Option:
Online_Option:
Digital_Form:
Digital_Transfer_Information:
Format_Name: GeoJSON
Format_Information_Content: generated GeoJSON, via WFS
Digital_Transfer_Option:
Online_Option:
Digital_Form:
Digital_Transfer_Information:
Format_Name: OGC:WMS
Format_Information_Content: WMS, from GeoServer
Digital_Transfer_Option:
Online_Option:
Fees: None

Metadata_Reference_Information

Metadata_Date: 20190524
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Albert R. Mann Library
Contact_Address:
Address_Type: mailing and physical
Address: Albert R. Mann Library
City: Ithaca
State_or_Province: New York
Postal_Code: 14853
Country: USA
Contact_Voice_Telephone: 607-255-5406
Contact_Electronic_Mail_Address: mann-ref@cornell.edu
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time