Data Quality Information

Attribute Accuracy Report

Report 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).

Quantitative Attribute Accuracy Assessment

Attribute Accuracy Value
Attribute Accuracy Explanation

Horizontal Positional Accuracy Report

Report 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.

Quantitative Horizontal Positional Accuracy Assessment

Horizontal Positional Accuracy Value
Horizontal Positional Accuracy Explanation

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 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. The boundary of the soil survey of Soil Survey Geographic (SSURGO) database for Chinle Area, Parts of Apache and Navajo Counties, Arizona, and San Juan County, New Mexico is joined to the certified SSURGO surveys of Navajo Mountain Area, Arizona, Parts of Apache, Coconino and Navajo Counties; Shiprock Area, Parts of Apache County, Arizona and San Juan County, New Mexico; Fort Defiance Area, Parts of Apache and Navajo Counties, Arizona and McKinley and San Juan Counties, New Mexico; Canyon de Chelly National Monument, Arizona; Hopi Area, Arizona, Parts of Coconino and Navajo Counties. An acceptable join has been obtained.

Completeness Report 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 40 acres.

Lineage

Source Information

Source Citation

Source Scale Denominator 24000

Type of Source Media online

Source Time Period of Content

DateTime 2006
Source Currentness Reference publication date

Source Citation Abbreviation NCGC1

Source Contribution Elevation data used to enhance digital compilation source and for Pre-mapping.

Source Information

Source Citation

Source Scale Denominator 24000

Type of Source Media CD-ROM

Source Time Period of Content

DateTime 2005
Source Currentness Reference publication date

Source Citation Abbreviation NRCS1

Source Contribution Ortho imagery used for quality control and digital map base

Source Information

Source Citation

Source Scale Denominator 24000

Type of Source Media CD-ROM

Source Time Period of Content

DateTime 2010
Source Currentness Reference 2010

Source Citation Abbreviation NRCS2

Source Contribution digital soil survey area

Source Information

Source Citation

Source Scale Denominator

Type of Source Media database

Source Time Period of Content

DateTime 2011
Source Currentness Reference 2011

Source Citation Abbreviation NASIS

Source Contribution soils attribute (tabular) information

Source Information

Source Citation

Source Scale Denominator

Type of Source Media vector digital data

Source Time Period of Content

Beginning Position 2006
Ending Position 2012
Source Currentness Reference SSURGO publication date

Source Citation Abbreviation NRCS3

Source Contribution Source of digital revision

Process Step

Process Description Soil polygons and labels were edited and compiled by the project staff on soil survey office workstations using on-screen digitizing techniques with ESRI's ArcGIS 9.2 software. The staff utilized the IFSAR 5 meter elevation data, and the 2005 DOQ in MrSID format. They used this imagery to create mapping field sheets and to assess the landscape on their office workstations. Field procedures for the soil survey included plotting new soil boundaries by field observation and interpretation of remotely sensed data. Soil scientists analyzed the information and produced field maps and map unit descriptions. Boundaries were verified at closely spaced intervals, and the soils in each delineation were identified by traversing and transecting the landscape. Cropland areas, at the time the field work was accomplished, were sampled using a gridded network. Gridded sampling was based on 200 meter post spacing and points were recorded using GPS. Soil scientists described and sampled the soils, analyzed samples in the laboratory, and statistically analyzed the data. Major fieldwork for the soil survey was finished in 2010. A progressive field report summarizing documentation and approving map units was produced in April 2011.
Source Used Citation Abbreviation NCGC1
Source Used Citation Abbreviation NRCS1
Source Used Citation Abbreviation NRCS2
Source Used Citation Abbreviation NRCS3
Process Date 2010
Process Time
Process Contact

Process Step

Process Description Information based on field observations was digitized into a soil area feature class using digital orthophotos as a control base. The NRCS Arizona State Office digitized, reviewed and edited the soil area Feature class and feature attributes using ArcGIS Version 9.2. Upon completion, the geodatabase was sent to the Bozeman, Montana Digitizing and Certification Center.
Source Used Citation Abbreviation NCGC1
Source Used Citation Abbreviation NRCS1
Source Used Citation Abbreviation NRCS2
Process Date 2011
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Source Used Citation Abbreviation NRCS2
Process Date 2011-08-24
Process Time
Process Contact

Process Step

Process Description The survey-wide ArcGIS geodatabase from the online SSURGO data were imported to ARC/INFO 9.2 by certification staff at the Montana Digitizing Unit. Evaluation macros of July 2009 were applied to the data. Map unit labels were compared to an approved map unit legend from the National Soil Information System data base. ArcMap was used to join to adjacent survey boundaries and verify previous adjacent survey joins. The data were sent to the Wisconsin Digitizing Unit in Madison, Wisconsin.
Source Used Citation Abbreviation NRCS2
Process Date 2011-08-22
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-08-24
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NRCS2
Process Date 2011-08-24
Process Time
Process Contact

Process Step

Process Description The data were processed in ARCGIS 9.2 using a topology object with a 0.1 meter cluster tolerance for the purpose of eliminating gaps and overlaps along the shared boundaries of Hopi Area, Arizona, Parts of Coconino and Navajo Counties; Shiprock Area, Parts of San Juan County, New Mexico and Apache County, Arizona; Canyon de Chelly National Monument, Arizona; Fort Defiance Area, Parts of Apache and Navajo Counties, Arizona and McKinley and San Juan Counties, New Mexico; and Navajo Mountain Area, Arizona, Parts of Apache, Coconino and Navajo Counties. Additional edits were made to resolve any gaps or overlaps that exceeded the 0.1 meter cluster tolerance. In ARC/INFO, the data were checked with the SSURGO Evaluation AMLs provided by U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center for accuracy and completeness. Once the data was successfully evaluated by the AMLs, it was submitted to the Soil Data Mart for archival and distribution.
Source Used Citation Abbreviation NRCS2
Process Date 2011-09-15
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-09
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-15
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-15
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-15
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-21
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-20
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-23
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-23
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-27
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-27
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-27
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-27
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-28
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2011-09-28
Process Time
Process Contact

Process Step

Process Description The spatial data for the Soil Survey of Chinle Area, Parts of Apache and Navajo Counties, Arizona and San Juan County, New Mexico was downloaded from the Soil Data Mart on October 15, 2012. The individual shapefiles were appended into a geodatabase for Region 8. 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 8 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.
Source Used Citation Abbreviation NRCS3
Process Date 2013-07-31
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2013-12-15
Process Time
Process Contact

Process Step

Process Description The 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.
Source Used Citation Abbreviation NASIS
Process Date 2013-12-15
Process Time
Process Contact

Soil Survey Geographic (SSURGO) database for Chinle Area, Parts of Apache and Navajo Counties, Arizona and San Juan County, New Mexico

Metadata from the RGIS Metadata Repository

Identification Information

Distribution Information

Spatial Reference Information

Data Quality Information

Metadata Reference Information