NOTE: This feature Supersedes All Previous EditionsData is in WGS84 CoordinatesThis data was compiled by the Washington Office of Superintendent of Public Instruction (OSPI) to provide location and attribute information regarding currently active public schools in the State of Washington. This layer should match the current School Directory published by OSPI from the Education Data System (EDS). This layer includes Charter Schools, Tribal Compact Schools, and Vocational/Technical Skills Centers previously published separately.

This map displays the most recent summary streamflow values within the state of Washington from gages maintained by the Washington State Department of Ecology and the United States Geological Survey (USGS). The streamflow symbols reflect the magnitude of the most recent estimated flows relative to historic flows that occurred in past years on the current date at that particular stream gaging station. Generally, streamflows greater than the 75th percentile are considered above normal. Flows between the 25th and 75th percentiles are considered normal, and flow less than the 25th percentile are considered low.Differences exist in Ecology’s and USGS’ presentation of their respective flow information. The flow data displayed for the Ecology gaging stations are calculated overnight from statistics measured from the previous day’s flow so that all streamflow data displayed for the Ecology gaging stations are relative to the previous day’s flow.USGS reports flow in near real-time meaning the reported flow estimates are updated several times a day and are no more than 6 hours old. The flow data displayed for the USGS gaging stations reflects the near real-time flows relative to the historic record of flows on the current date.For more information on the Department of Ecology River and Stream Flow Monitoring program, visit http://www.ecy.wa.gov/programs/eap/flow/index.html.For more information on the USGS Water Watch program, visit http://waterwatch.usgs.gov/.Questions or concerns about the map and data displayed should be directed to gis@ecy.wa.gov.All data displayed are provisional and subject to significant change.

These points represent private schools as approved through the Washington State Board of Education. For more information please visit the SBE website. Displays data from CARTO.PRIV_SCH. Labels based on the attribute NAME. Data is downloaded from website as an .xlsx, then queried for City = Seattle, then geocoded.Updated as needed, last update October 2025.

ArcGIS Map Packages and GIS Data for Gillreath-Brown, Nagaoka, and Wolverton (2019)

**When using the GIS data included in these map packages, please cite all of the following:

Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, 2019. PLoSONE 14(8):e0220457. http://doi.org/10.1371/journal.pone.0220457

Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. ArcGIS Map Packages for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al., 2019. Version 1. Zenodo. https://doi.org/10.5281/zenodo.2572018

OVERVIEW OF CONTENTS

This repository contains map packages for Gillreath-Brown, Nagaoka, and Wolverton (2019), as well as the raw digital elevation model (DEM) and soils data, of which the analyses was based on. The map packages contain all GIS data associated with the analyses described and presented in the publication. The map packages were created in ArcGIS 10.2.2; however, the packages will work in recent versions of ArcGIS. (Note: I was able to open the packages in ArcGIS 10.6.1, when tested on February 17, 2019). The primary files contained in this repository are:

Raw DEM and Soils data

Digital Elevation Model Data (Map services and data available from U.S. Geological Survey, National Geospatial Program, and can be downloaded from the National Elevation Dataset)

DEM_Individual_Tiles: Individual DEM tiles prior to being merged (1/3 arc second) from USGS National Elevation Dataset.

DEMs_Merged: DEMs were combined into one layer. Individual watersheds (i.e., Goodman, Coffey, and Crow Canyon) were clipped from this combined DEM.

Soils Data (Map services and data available from Natural Resources Conservation Service Web Soil Survey, U.S. Department of Agriculture)

Animas-Dolores_Area_Soils: Small portion of the soil mapunits cover the northeastern corner of the Coffey Watershed (CW).

Cortez_Area_Soils: Soils for Montezuma County, encompasses all of Goodman (GW) and Crow Canyon (CCW) watersheds, and a large portion of the Coffey watershed (CW).

ArcGIS Map Packages

Goodman_Watershed_Full_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the full Goodman Watershed (GW).

Goodman_Watershed_Mesa-Only_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the mesa-only Goodman Watershed.

Crow_Canyon_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Crow Canyon Watershed (CCW).

Coffey_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Coffey Watershed (CW).

For additional information on contents of the map packages, please see see "Map Packages Descriptions" or open a map package in ArcGIS and go to "properties" or "map document properties."

LICENSES

Code: MIT year: 2019 Copyright holders: Andrew Gillreath-Brown, Lisa Nagaoka, and Steve Wolverton

CONTACT

Andrew Gillreath-Brown, PhD Candidate, RPA Department of Anthropology, Washington State University andrew.brown1234@gmail.com – Email andrewgillreathbrown.wordpress.com – Web

The Digital Geologic-GIS Map of Mount Rainier National Park, Washington is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (mora_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mora_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (mora_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mora_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (mora_geology_metadata_faq.pdf). Please read the mora_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (mora_geology_metadata.txt or mora_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm). The GIS data projection is NAD83, UTM Zone 10N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth.

This web map contains datasets representing the National Hydrography Dataset (NHD) of Washington State, labels for NHD features, and the Watershed Boundary Dataset (WBD) basins for Hydrologic Unit Code (HUC) levels 4, 8, and 12. The NHD dataset has been adopted as the Washington State hydrography standard. The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat areas, wild and scenic rivers. Reach addresses establish the locations of these entities relative to one another within the NHD surface water drainage network, much like addresses on streets. Once linked to the NHD by their reach addresses, the upstream/downstream relationships of these water-related entities--and any associated information about them--can be analyzed using software tools ranging from spreadsheets to geographic information systems (GIS). GIS can also be used to combine NHD-based network analysis with other data layers, such as soils, land use and population, to help understand and display their respective effects upon one another. Furthermore, because the NHD provides a nationally consistent framework for addressing and analysis, water-related information linked to reach addresses by one organization (national, state, local) can be shared with other organizations and easily integrated into many different types of applications to the benefit of all.This high-resolution NHD, generally developed at 1:24,000/1:4,800 scale. Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.This map contains a BETA version of WaterType attached to the Skagit River Basin NHDflowlines. This Beta version of the Watertype is the result of a pilot project and will be refined over the next six months. The field is for users of NHD who want access to Water Type and who are not under Forest Practices rules. The WaterType uses Shorelines Master Program type S streams and Fish Presence Data from both WA Dept Natural Resources and WA Dept Fish and Wildlife.

This file contains file geodatabases of the Mount St. Helens seismic zone (MSHSZ), Wind River valley (WRV) and Mount Baker (MB) geothermal play-fairway sites in the Washington Cascades. The geodatabases include input data (feature classes) and output rasters (generated from modeling and interpolation) from the geothermal play-fairway in Washington State, USA. These data were gathered and modeled to provide an estimate of the heat and permeability potential within the play-fairways based on: mapped volcanic vents, hot springs and fumaroles, geothermometry, intrusive rocks, temperature-gradient wells, slip tendency, dilation tendency, displacement, displacement gradient, max coulomb shear stress, sigma 3, maximum shear strain rate, and dilational strain rate at 200m and 3 km depth. In addition this file contains layer files for each of the output rasters. For details on the areas of interest please see the 'WA_State_Play_Fairway_Phase_1_Technical_Report' in the download package.

This submission also includes a file with the geothermal favorability of the Washington Cascade Range based off of an earlier statewide assessment. Additionally, within this file there are the maximum shear and dilational strain rate rasters for all of Washington State.

This file contains the geothermal favorability of the Washington Cascade Range based off of an earlier statewide assessment. Additionally, within this file there are the maximum shear and dilational strain rate rasters for all of Washington State.

In 2007, Washington State legislators requested a trails database, but funding to complete that statewide project was not made available at the time.In 2009, the Federal Government outlined the need for trails database schema in their Data Standards Review Committee, stressing the efficiency in management decisions that a streamlined database can provide. “The collection, storage and management of trail related data are important components of everyday business activities in many federal and state land-managing agencies, trail organizations and businesses. From a management perspective, trails data must often mesh closely with other types of infrastructure, resource and facility enterprise data.” In 2014, the Washington State Office of the Chief Information Officer's (OCIO) Geospatial Program Office acquired a Nonhighway and Off-Road Vehicle Activities (NOVA) Program grant through the Washington State Recreation and Conservation Office (RCO) giving the OCIO initial funding to develop a statewide trails database based on Federal Geographic Data Committee standards. Using the same standard for all trails data will allow land managers and recreational users throughout the state to access and use the data regardless of administrative boundary. "Data standards will make it easier for trail information to be accessed and exchanged and used by more than one individual agency or group…Ease in sharing data increases the capability for enhanced and consistent mapping, inventory, monitoring, conditions assessment, maintenance, costing, budgeting, information retrieval, and summary reporting for internal and external needs.”Along with streamlining data and facilitating efficiency in management practices across agencies, the database will provide a source of trails information that is open and free to the public. Additional details about the project can be found here: https://ocio.wa.gov/initiatives/washington-state-trails-database-project

The Digital Surficial Geologic-GIS Map of American Camp Area, San Juan Island National Historical Park, Washington is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sjis_surficial_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sjis_surficial_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sjis_surficial_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (sajh_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sajh_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (sjis_surficial_geology_metadata_faq.pdf). Please read the sajh_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Washington Division of Geology and Earth Resources. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sjis_surficial_geology_metadata.txt or sjis_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Click to downloadClick for metadataService URL: https://gis.dnr.wa.gov/site2/rest/services/Public_Forest_Practices/WADNR_PUBLIC_FP_Unstable_Slopes/MapServer/3The siteclass data layer was created for use in implementing Forest Practices' Riparian Management Rules. (See WAC 222-30-021 and 222-30-022.)

The siteclass data layer was derived from the DNR soils data layer's site index codes and major tree species codes for western and eastern Washington soils contained in the layer's Soils-Main table and Soils-Pflg (private forest land grade) table. Site index ranges in the Soils_PFLG took precedence over site index ranges in the Soils-Main table where data existed.The siteclass data layer was created for use in implementing new ForestPractices' Riparian Management Rules. (See WAC 222-30-021 and 222-30-022.) The siteclass information was derived from the DNR soils data layer's site indexcodes and major tree species codes for western and eastern Washington soilscontained in the layer's Soils-Main table and Soils-Pflg (private forest landgrade) table. Site index ranges in the Soils_PFLG took precedence over siteindex ranges in the Soils-Main table where data existed.Siteclass codes as derived from the soil survey:For Western Washington, the 50 year site index is used SITECLASS SITE INDEX RANGE I 137+ II 119-136 III 97-118 IV 76-96 V 1-75For Eastern Washington, the 100 year site index is used SITECLASS SITE INDEX RANGE I 120+ II 101-120 III 81-100 IV 61-80 V 1-60In addition to the coding scheme above, the following codes were added forrule compliance: SITECLASS DESCRIPTION 6 (Red Alder) The soils major species code indicated Red Alder 7 (ND/GP) No data), NA, or gravel pit 8 (NC/MFP) Non-commercial or marginal commercial forest land 9 (WAT) Water body(Rule note: If the site index does not exist or indicates red alder,noncommercial, or marginally commercial species, the following apply:If the whole RMZ width is within those categories, use site class V.If those categories occupy only a portion of the RMZ width, then use thesite index for conifer in the adjacent soil polygon.)WADNR SOILS LAYER INFORMATION LAYER: SOILS GEN.SOURCE: State soils mapping program CODE DOCUMENT: State soil surveys CONTACT: NA COVER TYPE: Spatial polygon coverage DATA TYPE: Primary data Information for the SOILS data layer was derived from the Private Forest Land Grading system (PFLG) and subsequent soil surveys. PFLG was a five year mapping program completed in 1980 for the purpose of forest land taxation. It was funded by the Washington State Department of Revenue in cooperation with the Department of Natural Resources, Soil Conservation Service (SCS), USDA Forest Service and Washington State University. State and private lands which had the potential of supporting commercial forest stands were surveyed. Some Indian tribal and federal lands were surveyed. Because this was a cooperative soil survey project, agricultural and non- commercial forest lands were also included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soils delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were added at a later time and are now available through associated lookup tables. SCS soils data on agricultural lands also have subsequently been added to this data layer. Approximately 1100 townships wholly or partially contain digitized soils data (2101 townships would provide complete coverage of the state of Washington). SOILS data are currently stored in the Polygon Attribute Table (.PAT) and INFO expansion files. COORDINATE SYSTEM: WA State Plane South Zone (5626) (N. zone converted to S. zone) COORDINATE UNITS: Feet HORIZONTAL DATUM: NAD27 PROJECTION NAME: Lambert Conformal Conic **** MAJOR CODES USED FOR SITECLASS DATA*****PFLG DATA: ITEM: PFLG.MAJ.SPEC TITLE: Potential major tree species for given soil FORMAT: INPUT OUTPUT DATA DECIMAL ARRAY ARRAY WIDTH WIDTH TYPE PLACES OCCUR. INDEX ------------------------------------------------- 3 3 C 0 0 0 CODE TABLE OR VALUE RANGE: SOIL.MAJ.SPEC.CODE DESCRIPTION: Potentially major tree species for a given soil type. The data carried by this item describes a major commercial tree species that could potentially grow on a specific soil type as identified in the Private Forest Land Grading program (PFLG). Non-tree codes are also included to map non-soil ground cover, e.g. water, gravel pits. ITEM: PFLG.SITE.INDEX TITLE: Mean site index calc.from trees on given soil FORMAT: INPUT OUTPUT DATA DECIMAL ARRAY ARRAY WIDTH WIDTH TYPE PLACES OCCUR. INDEX ------------------------------------------------- 3 3 I 0 0 0 CODE TABLE OR VALUE RANGE: 0-200 DESCRIPTION: Site index data collected for the Private Forest Land Grading soils program (PFLG). It is a designation of the quality of a forest site based on the height of of the tallest trees (dominant and co-dominant trees) in a stand at an arbitrarily chosen age. Usually the age chosen is 50 or 100 years. For example, if the average height attained by the tallest trees in a fully stocked stand at the age of 50 years is 75 feet, the site index is 75 feet. Westside site conditions are estimated by using an index age of 50 years, while eastside site conditions are estimated by using an index age of 100 years.--------------------------------------------------------------------SOILS-MAIN DATA: CODE TABLE NAME: SOIL.MAJ.SPEC.CODE ----------------------------------------------------------------------------- CODE MAP/REPORT MAP CODE DESCRIPTION LABEL SYMB --------- ------------ ---- -------------------------------------------------- AF ALPINE FIR 0 Subalpine fir DF DOUGLAS FIR 0 Douglas fir GF GRAND FIR 0 Grand fir GP GRAVEL PIT 0 Gravel pit LP LODGEPOLE PN 0 Lodgepole pine MFP MAR FOR PROD 0 Marginal forest productivity NA N/A 0 Not applicable NC NON-COMMERC 0 Non-commercial ND NO DATA 0 No data PP PONDEROSA PN 0 Ponderosa pine RA RED ALDER 0 Red alder WAT WATER 0 Water WH W HEMLOCK 0 Western hemlock WL W LARCH 0 Western larch WP W WHITE PINE 0 Western white pine ITEM: SITE.INDEX.SIDE TITLE: Indicates 100 yr or 50 yr soil site index FORMAT: INPUT OUTPUT DATA DECIMAL ARRAY ARRAY WIDTH WIDTH TYPE PLACES OCCUR. INDEX ------------------------------------------------- 1 1 C 0 0 0 CODE FILE OR VALUE RANGE: SITE.INDEX.SIDE.CODE DESCRIPTION: Code used to indicate whether 100 year or 50 year site index tables are used to calculate the site index of a soil type. Note that some site indexes for "eastside" soils are based on the 50 year index table. SITE.INDEX.SIDE Indicates 100 yr or 50 yr soil site index CODE FILE SITE.INDEX.SIDE.CODE IS NOT USED BY OTHER ITEMS CODE MAP/REPORT MAP CODE DESCRIPTION LABEL SYMB --------- ------------ ---- -------------------------------------------------- E 100 YR SITE 0 Soil site index based on 100 year table W 50 YR SITE 0 Soil site index based on 50 year table------------------------------------------------------------------

Census 2020 blocks with the Washington State Office of Financial Management Small Area Estimates Program (SAEP) estimates. Enhanced with City of Seattle council districts and growth management areas.

PLEASE BE AWARE, the urban village and comprehensive plan area designations are subject to change annually.

Estimates are annual April, 1 for the 2010-202X with the most current year added Q4 of that year.

(SAEP) estimates are meant to provide a consistent set of small area population and housing data for statewide applications. SAEP estimates are generated by the Washington State Office of Financial Management for census areas and other areas of statewide significance.

Before using the SAEP estimates, please see the SAEP User Guide to gain a better understanding of the data and methods behind the estimates as well as limitations in their use. For more specific information about the 2020 data release, please see the User Notes and Errata document.

Please note that SAEP estimates are NOT the official state population estimates used for revenue distribution and program administration related to cities and counties. Users interested in city and county estimates should see the state's official April 1 population estimates program.

Tabular data that powers basic monitoring dashboards for the total population, housing and jobs for the City of Seattle. Each record represents the totals for each year since 2000 (and 1995) through the most recently available data. Includes the change from the previous year.

For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.Information for SOILS data layer was derived from the Private Forest Land Grading system (PFLG) and subsequent soil surveys. PFLG was a five-year mapping program completed in 1980 for the purpose of forestland taxation. It was funded by the Washington State Department of Revenue. The Department of Natural Resources, Soil Conservation Service (now known as the Natural Resources Conservation Service or NRCS), USDA Forest Service and Washington State University conducted soil mapping cooperatively following national soil survey standards. Private lands having the potential of supporting commercial forests were surveyed along with interspersed small areas of State lands, Indian tribal lands, and federal lands. Because this was a cooperative soil survey project, agricultural and non-commercial forestlands were included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soil map unit delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were later added and are now available through associated lookup tables. SCS (NRCS) soils data on agricultural lands also have been subsequently added to this data layer. The SOILS data layer includes approximately 1,100 townships with wholly or partially digitized soils data. State and private lands which have the potential of supporting commercial forest stands were surveyed. Some Indian tribal and federal lands were surveyed. Because this was a cooperative soils survey project, agricultural and non-commercial forestlands were also included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soils delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were added at a later time and are now available through associated lookup tables. SCS soils data on agricultural lands also have subsequently been added to this data layer. This layer includes approximately 1, 100 townships with wholly or partially digitized soils data (2,101 townships would provide complete coverage of the state of Washington).-

The soils_sv resolves one to many relationships and as such is one of those special "DNR" spatial views ( ie. is implemented similar to a feature class). Column names may not match between SOILS_SV and the originating datasets. Use limitations

This Spatial View is available to Washingotn DNR users and those with access to the Washington State Uplands IMS site.

The following cautions only apply to one-to-many and many-to-many spatial views! Use these in the metadata only if the SV is one-to-many or many-to-many.

CAUTIONS: Area and Length Calculations: Use care when summarizing or totaling area or length calculations from spatial views with one-to-many or many-to-many relationships. One-to-many or many-to-many relationships between tabular and spatial data create multiple features in the same geometry. In other words, if there are two or more records in the table that correspond to the same feature (a single polygon, line or point), the spatial view will contain an identical copy of that feature's geometry for every corresponding record in the table. Area and length calculations should be performed carefully, to ensure they are not being exaggerated by including copies of the same feature's geometry.

Symbolizing Spatial Features:
Use care when symbolizing data in one-to-many or many-to-many spatial views. If there are multiple attributes tied to the same feature, symbolizing with a solid fill may mask other important features within the spatial view. This can be most commonly seen when symbolizing features based on a field with multiple table records.

Labeling Spatial Features: Spatial views with one-to-many or many-to-many relationships may present duplicate labels for those features with multiple table records. This is because there are multiple features in the same geometry, and each one receives a label.Soils Metadata

The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat areas, wild and scenic rivers. Reach addresses establish the locations of these entities relative to one another within the NHD surface water drainage network, much like addresses on streets. Once linked to the NHD by their reach addresses, the upstream/downstream relationships of these water-related entities--and any associated information about them--can be analyzed using software tools ranging from spreadsheets to geographic information systems (GIS). GIS can also be used to combine NHD-based network analysis with other data layers, such as soils, land use and population, to help understand and display their respective effects upon one another. Furthermore, because the NHD provides a nationally consistent framework for addressing and analysis, water-related information linked to reach addresses by one organization (national, state, local) can be shared with other organizations and easily integrated into many different types of applications to the benefit of all.The WA State National Hydrography Dataset (NHD) is the standard hydrography for Washington. NHD Waterbody along with WA NHD Area represent the polygon water features. NHD Flowline contains the linear watercourses. NHDWaterbody types and their corresponding FType Codes are Estuary(493), LakePond(390), SwampMarsh(466), Constructed Reservoir(436), Ice Mass(378), and Playa(361). The WA State National Hydrography Dataset (NHD) is the standard hydrography for Washington. NHD Lines represent linear NHD hydrographic landmark features used for cartographic representation. Some of these are: Bridge, Dam, Flume, Gate, Levee, Sounding Datum Line. NHD Lines should not be confused with NHD Flowlines which are the major blue line data. NHD Line data for Washington are developed at a resolution of 1:4,800 to 1:24,000. This dataset was extracted from and projected into WA State Plane Coordinates South. The National Hydrography Dataset (NHD) is a feature-based database that as a whole interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. This high-resolution NHD, generally is developed at 1:24,000/1:12,000 scale, but many areas of Washington State have been improved to 1:4800 scale. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. A detailed data dictionary is available at https://nhd.usgs.gov/userguide.html?url=NHD_User_Guide/Feature_Catalog/NHD_Feature_Catalog.htm

This map contains layers covering themes related to broadband internet access including:Community Anchor Institutions (CAI)FCC Broadband Serviceable Locations (BSLs)Ookla Speedtest DataAffordable Connectivity Program (ACP)American Community Survey (ACS)Social Vulnerability Index (SVI)Broadband Funding AwardsDigital Divide Index (Purdue University)

The Digital Geologic-GIS Map of Whitman Mission National Historic Site and Vicinity, Washington and Oregon is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (whmi_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (whmi_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (whmi_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (whmi_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (whmi_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (whmi_geology_metadata_faq.pdf). Please read the whmi_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Washington Division of Geology and Earth Resources. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (whmi_geology_metadata.txt or whmi_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Washington Legislative Districts 2024, also known as Remedial Map 3B, created in CASE NO. 3:22-cv-05035-RSL at the United States District Court for the Western District of Washinton at Seattle, presided over by judge Robert. S Lasnik.https://www.documentcloud.org/documents/24483664-redistricting-orderThese districts replace the 2022 Legislative districts and will be used in the 2024 elections pending US Supreme Court action.Please note that there are four split Census Blocks due to annexations in Yakima County. Portions of blocks 530770018013012, 530770018012077, 530770020042004, and 530770018011075 transferred from LD 15 to LD 14. This feature layer contains 49 features representing each of Washington State's 49 legislative districts and is projected to NAD 1983 HARN Washington State Plane South US Feet.For questions, please contact Nicholas Pharris at the Secretary of State. nicholas.pharris@sos.wa.gov

This cached map service dataset represents the National Hydrography Dataset (NHD) of Washington State. This dataset has been adopted as the Washington State hydrography standard. The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat areas, wild and scenic rivers. Reach addresses establish the locations of these entities relative to one another within the NHD surface water drainage network, much like addresses on streets. Once linked to the NHD by their reach addresses, the upstream/downstream relationships of these water-related entities--and any associated information about them--can be analyzed using software tools ranging from spreadsheets to geographic information systems (GIS). GIS can also be used to combine NHD-based network analysis with other data layers, such as soils, land use and population, to help understand and display their respective effects upon one another. Furthermore, because the NHD provides a nationally consistent framework for addressing and analysis, water-related information linked to reach addresses by one organization (national, state, local) can be shared with other organizations and easily integrated into many different types of applications to the benefit of all.This high-resolution NHD, generally developed at 1:24,000/1:4,800 scale. Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.This map contains a BETA version of Water Type attached to the Skagit River Basin NHDFlowlines. This Beta version of the Water Type is the result of a pilot project and will be refined over the next six months. The field is for users of NHD who want access to Water Type and who are not under Forest Practices rules. The Water Type uses Shorelines Master Program type S streams and Fish Presence Data from both WA Dept Natural Resources and WA Dept Fish and Wildlife.

The Shoreline Public Access Project is a geographic information systems (GIS) project to identify the location, length, and degree of public access to Washington State's marine shoreline. Before the project, it was unknown how much of Washington's 3068 miles of shoreline was public. The information was scattered throughout various government agencies and the data quality was variable. Through the Shoreline Public Access Project, the best available information has been summarized into a single data set, used to answer questions about our shoreline's ownership and public accessibility.The purpose of the Shoreline Public Access Project is: 1) to combine various sources of shoreline data into an organized and comprehensive database 2) to create a more accurate dataset of publicly accessible shoreline. The ultimate purpose of this data is to give shoreline managers and planners another tool to assist them in making important shoreline decisions.For more information, contact Christina Kellum, Washington State Department of Ecology GIS Manager, gis@ecy.wa.gov.

The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.