Use this web map to link to other geospatial datasets available through county and city sites (Not comprehensive). May need to zoom in to see the participating cities. The county boundaries and city points were published by Washington State agencies and downloaded from geo.wa.gov. Locations are approximate, and no warranties are made regarding this data. The canvas basemap has been compiled by Esri and the ArcGIS user community from a variety of best available sources. Want to have your data site listed? Contact the Geospatial Program Office.

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 Geologic-GIS Map of the Lake Roosevelt National Recreation Area and Vicinity, 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 (laro_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 (laro_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 (laro_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.) a readme file (laro_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (laro_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 (laro_geology_metadata_faq.pdf). Please read the laro_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: 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 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 (laro_geology_metadata.txt or laro_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 1:100,000 and United States National Map Accuracy Standards features are within (horizontally) 50.8 meters or 166.7 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).

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 August 2024.

The Washington State Surface Geology Map scale at a scale of 1:24,000 geodatabase was made accessible through the Washington State Department of Natural Resources, Division of Geology and Earth Resources. The data are provided in ESRI ArcGIS 10.0 file geodatabase format (see Read Me file). The projection is in Lambert Conformal Conic, NAD83 HARN datum. Data available for download include:- One ESRI ArcGIS 10.0 geodatabase, consisting of a set of 11 feature classes, 7 relationship classes, and one geodatabase table.- Metadata for each feature class, in both XML and HTML formats (for ease of reading outside of GIS software)- One shapefile depicting the outline of Washington State.- One ArcGIS map document (ending in the .mxd extension), containing specifications for data presentation in ArcMap- One ArcGIS layer file for each feature class (ending in the .lyr extension), containing specifications for data presentation in an ArcGIS viewing application- One Geologic Map Codes document (PDF) defining the symbology used in the map.- The README file These digital data and metadata are provided as is, as available, and with all faults basis. Neither Department of Natural Resources nor any of its officials and employees makes any warranty of any kind for this information, express or implied, including but not limited to any warranties of merchantability or fitness for a particular purpose, nor shall the distribution of this information constitute any warranty. This resource was provided by the Washington State Department of Natural Resources, Division of Geology and Earth Resources and made available for distribution through the National Geothermal Data System.

Campus Basemap in the World Topographic Map cartographic style. On CougGIS.

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 Surficial 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_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 and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mora_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 (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_surficial_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_surficial_geology_metadata.txt or mora_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 1:48,000 and United States National Map Accuracy Standards features are within (horizontally) 24.4 meters or 80 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

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.

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.

NOTE: This feature service replaced "K-12 Schools".*This 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 seperately.Attribute definitions with alias in [ ] and source in ():SchoolCode [School Code] - Unique school code assigned by OSPI (EDS)OrganizationId [Organization Id] - Unique organization code for database purposes (EDS)SchoolName [School Name] - Name of school as it recorded in the Schools Directory (EDS)Label [Label] - Label field for mapping purposes (GIS-not yet used).ESDCode [ESD Code] - Educational Service District unique code (EDS)ESDNum [ESD Number] - Educational Service District numberESDName [ESD Name] - Educational Service District name (EDS)LEACode [LEA Code] - Local Educational Authority/District unique code (EDS)LEAName [LEA Name] - Local Educational Authority/District name (EDS)LowestGrade [Lowest Grade] - Lowest grade served at school (EDS)HighestGrade [Highest Grade] - Highest grade served at school (EDS)LowGrade_Int [Low Grade Integer] - Lowest grade served at school as integer (GIS)HighGrade_Int [High Grade Integer] - Highest grade served at school as integer (GIS)OrgCategoryList [Organizational Category List] - Organizational Category List (EDS)AYPCode [AYP Code] - Adequate Yearly Progress Code (EDS)AYPCodeDes [AYP Code Description] - Adequate Yearly Progress Code Description (EDS)GradeCategory [Grade Category] - Grade Category, e.g. Elementary School, Middle School, etc. (EDS)PhysicalAddress [School Physical Address]- Physical Address of school (EDS)MailingAddress [School Mailing Address] - Mailing Address of school (EDS)PrincipalName [School Principal Name] - School Principal's name (EDS)Email [School Principal Email] - School Principal's email (EDS)Phone [Phone] - School Telephone Number (EDS)Latitude [Latitude] - Latitude Coordinate of school based on mapped location (GIS)Longitude [Longitude] - Longitude Coordinate of school based on mapped location (GIS)County [County of School] - County of school based on mapped location (GIS)CongressionalDistrict [Congressional District of School] - Congressional District of school based on mapped location (GIS)LegislativeDistrict [Legislative District of school] - Legislative District of school (GIS)

Annual April, 1 Small Area Estimates Program (SAEP) estimates provide a consistent set of small area population and housing data at the census block (vintage 2020). This table summarized to the City of Seattle growth management areas.

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.

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.

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 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 3066 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 Washington State Department of Transportation (WSDOT) developed this data set in fulfillment of a grant from the Federal Highway Administration (FHWA) to test a conceptual climate risk assessment model developed for transportation infrastructure. WSDOT applied the model using scenario planning in a series of statewide workshops, using local experts, to create qualitative assessment of climate vulnerability on its assets in each region and mode across Washington. For the purposes of this statewide effort, managed assets were defined as sections of highway or railroad, and whole facilities (Ferry Terminal or Airport). Fourteen workshops engaged experts across all WSDOT regions, state ferries, rail, and aviation. The outcome of each workshop was a subjective evaluation of asset vulnerability agreed upon by participants. This feature class contains the results for railroads. This study assumed 100% probability of climate change impacts previously identified in the University of Washington Climate Impacts Group's 2009 assessment. Types of impacts discussed in the workshops with local experts included: temperature changes, increase in extreme weather events, precipitation changes, sea level rise, fire risk, and high winds. The scientific community's understanding of climate impacts continues to evolve as the models and collective understanding of feedback systems improve. We do not have perfect information about exactly how, when, where, and to what magnitude climate changes will unfold in Washington State. After reviewing the extreme weather events and other impacts projected for their area, workshop participants defined sections of highway, rail, or specific facilities with consideration of the local geology, natural and constructed drainage and hydrology, elevation, slope, land use and operational maintenance issues. Once defined, each corridor or facility was then ranked for two variables: asset criticality and potential impact. Asset criticality (which was defined by the workshop participants) should not be confused with other measures such as highway functional class. 1) How critical is that site or corridor to overall transportation operations and public safety? The following scale guided the qualitative assessment of criticality: a. 1-3 = Low - facility/corridor with low daily traffic, available alternate routes, not part of the National Highway System b. 4-6 = Medium - facility/corridor has low to medium daily traffic, serves as an alternate route of other state corridors or facilities c. 7-10 = High - facility/corridor is an Interstate or other major highway, is considered a lifeline route or is the sole access to a population center or critical facility. 2) How might potential climate changes impact site or corridor operations? The following scale guided the assessment of climate impacts: a. 1-3 = Low - Reduced Capacity: facility/corridor partially open to use and full operations can be restored within 10 days b. 4-6 = Medium - Temporary Operational Failure: Facility/corridor closed for hours or days. Reopening or repair could be completed within 60 days. c. 7-10 = High - Complete Failure: facility/corridor likely to require major repair or rebuild with closures lasting more than 60 days These qualitative rankings for impacts and asset criticality and some general descriptions were captured in spreadsheets that were later used to create GIS layers. This data is intended for use in statewide or regional planning and to assist in adapting maintenance and engineering policies and practices to protect our transportation infrastructure over the coming decades. The rankings here were based on our knowledge and understanding at the time of the study, and should only be taken as a best professional estimate for considering potential conditions that might put people or infrastructure at risk. Current information about projected climate changes and asset use and condition should always be taken into account, especially as time progresses.

Collected web maps, story maps and downloads produced by the Nearshore Habitat Program - a program within the Aquatic Resources Division of the Washington Department of Natural Resources.

Information Security Category 1 - Public InformationDSHS ALTSA Area Agency on Aging (AAA) | Washington Association of Area Agencies on AgingAAAs were established under the Federal Older Americans Act in 1973 to help older adults (60 or older) remain in their home. AAAs are located throughout the United States and are available in every county within Washington State.AAA's help older adults plan and find additional care, services, or programs. Help can range from getting services for a frail adult so he or she can remain at home to providing access to activities and socialization through programs like senior centers. They also provide support and services to the family or friends helping to care for older adults.Tribal AAA Planning Service Area boundaries are defined using United States Census Bureau's updated 2017 American Indian Area boundaries. Non-Tribal AAA Planning Service Area boundaries are defined by subtracting the 2017 American Indian Area boundaries from the 2010 Census County boundaries for Washington State.Important: DSHS reserves the right to alter, suspend, re-host, or retire this service at any time and without notice. This is a map service that you can use in custom web applications and software products. Your use of this map service in these types of tools forms a dependency on the service definition (available fields, layers, etc.). If you form any dependency on this service, be aware of this significant risk to your purposes. You might consider mitigating your risk by extracting the source data and using it to host your own service in an environment under your control. Typically, DSHS Enterprise GIS staff will provide notification of changes via the Comments RSS capability in ArcGIS Online. You should subscribe to this RSS feed to monitor change notifications: https://www.arcgis.com/sharing/rest/content/items/0b2363ca53874a93865ff57782ca3dcf/comments?f=rss

The USGS NAIP Imagery service from The National Map consists of 4-band high resolution images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a map. Resolution of National Agriculture Imagery Program (NAIP) data is most commonly 1 meter, which means that every pixel in the digital orthoimage covers a one meter square of the earth’s surface. Some states to include Wyoming and New York began collection of 0.5 meter pixel resolution NAIP in 2015. Many states contribute orthoimagery to The National Map, and USGS relies on a partnership with the U.S. Department of Agriculture’s Farm Service Agency for NAIP data. The USGS NAIP Imagery service is a mosaic of natural color and color infrared (4-band) aerial imagery, containing NAIP and other imagery sources to complete the mosaic. The National Map download client allows free downloads of public domain compressed orthoimagery in JPEG 2000 (.jp2) format for the conterminous United States, with many urban areas and other locations at 1-foot (or better) resolution, also in JPEG 2000 (.jp2) format. For additional information on orthoimagery, go to https://nationalmap.gov/ortho.html. This imagery service is for viewing only, no downloading of the raster images available. NAIP/Statewide_NAIP_2017_3ft_4band_wsps_83h_img

Washington State Department of Social and Health Services administrative office locations, including which agencies have a presence in the office and whether or not a Community Services Office or Division of Children and Family Services Office is present.Lifecycle status: ProductionPurpose: enable open access to DSHS dataDSHS Data Security: Category 1 - PublicLast Update: 3/6/2018Update Cycle: as neededData Source: DSHSImportant: DSHS reserves the right to alter, suspend, re-host, or retire this service at any time and without notice. This is a map service that you can use in custom web applications and software products. Your use of this map service in these types of tools forms a dependency on the service definition (available fields, layers, etc.). If you form any dependency on this service, be aware of this significant risk to your purposes. You might consider mitigating your risk by extracting the source data and using it to host your own service in an environment under your control. Typically, DSHS Enterprise GIS staff will provide notification of changes via the Comments RSS capability in ArcGIS Online. You may subscribe to the RSS feed that publishes comments to monitor any planned and notified changes.