Vector polygon map data of property parcels from Oregon containing 97,943 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

Shapefile of zoning section map index, grid to determine which zoning section map relates to specific areas of NYC. A sectional index grid to determine which Zoning Map refers to specific areas of New York City. Zoning maps show the boundaries of zoning districts throughout the city. The maps are regularly updated after the City Planning Commission and the City Council have approved proposed zoning changes. The set of 126 maps, which are part of the Zoning Resolution, are displayed in 35 sections. Each section is identified by a number from 1 to 35. Each map covers an area of approximately 8,000 feet (north/south) by 12,500 feet (east/west).

Geologic map data in shapefile format that includes faults, unit contacts, unit polygons, attitudes of strata and faults, and surficial geothermal features. 5 cross-sections in Adobe Illustrator format. Comprehensive catalogue of drill-hole data in spreadsheet, shapefile, and Geosoft database formats. Includes XYZ locations of well heads, year drilled, type of well, operator, total depths, well path data (deviations), lithology logs, and temperature data. 3D model constructed with EarthVision using geologic map data, cross-sections, drill-hole data, and geophysics.

A Map of a section of the Southern Indian Ocean scanned and fitted to modern map co-ordinates by volunteers at the Archaeological Computing Laboratory, University of Sydney. Sydney, 2001

Appliance Part Finder App Market Outlook

As per our latest research, the global Appliance Part Finder App market size reached USD 1.48 billion in 2024, driven by increasing digital transformation in the appliance maintenance sector. The market is expected to register a robust CAGR of 10.2% during the forecast period, reaching USD 3.57 billion by 2033. The growth is fueled by the rising adoption of smart devices, the proliferation of home and commercial appliances, and the increasing need for efficient, user-friendly solutions for sourcing appliance parts globally.

One of the primary growth factors for the Appliance Part Finder App market is the surge in demand for home and commercial appliances, which directly influences the need for efficient maintenance and repair solutions. Consumers and businesses alike are increasingly seeking ways to extend the lifespan of appliances, reduce downtime, and minimize costs associated with breakdowns. The convenience offered by appliance part finder apps—enabling users to quickly identify, locate, and purchase required parts—has significantly streamlined the repair process. This digital solution not only reduces the time and effort spent searching for parts but also enhances the overall user experience, making it a preferred choice among both individual consumers and service technicians. The integration of features such as image recognition, barcode scanning, and compatibility checks further adds value, driving the adoption of these apps across various end-user segments.

Another critical factor propelling the growth of the Appliance Part Finder App market is the rapid advancement in mobile and web-based technologies. The proliferation of smartphones and improved internet connectivity have made it easier for users to access these applications anytime, anywhere. Furthermore, the increasing focus on user-centric design and the incorporation of artificial intelligence and machine learning algorithms have enhanced the accuracy and efficiency of part identification and sourcing. These technological advancements have not only improved the functionality of appliance part finder apps but have also made them more accessible to a broader audience, including less tech-savvy users. As a result, the market has witnessed significant growth, with more manufacturers and retailers collaborating with app developers to ensure seamless integration with their inventory systems.

The market is also experiencing growth due to the expanding ecosystem of service providers, retailers, and manufacturers who recognize the value of digital platforms in improving customer engagement and operational efficiency. Appliance part finder apps offer a centralized platform that connects users with a wide range of suppliers, enabling price comparisons, real-time inventory updates, and faster order fulfillment. This interconnected ecosystem not only benefits end-users but also creates new revenue streams for manufacturers and retailers through value-added services, subscription models, and targeted marketing. The growing trend of DIY repairs and the increasing emphasis on sustainability—encouraging repair over replacement—are further contributing to the market’s expansion.

From a regional perspective, North America currently leads the Appliance Part Finder App market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The high adoption rate of smart home technologies, a mature appliance market, and a strong culture of DIY repairs are key drivers in these regions. Meanwhile, Asia Pacific is expected to witness the fastest growth over the forecast period, driven by rapid urbanization, rising disposable incomes, and increasing smartphone penetration. Latin America and the Middle East & Africa are also showing promising growth potential, supported by the gradual digitalization of the appliance retail and service sectors. These regional dynamics underscore the global nature of the Appliance Part Finder App market and highlight the diverse opportunities for stakeholders across different geographies.

Platform Analysis

The Appliance Part Finder App market is segmented by platform into iOS, Android, and web-based solutions, each catering to distinct user preferences and technological ecosystems. The iOS segment has shown significant traction, particularly in developed markets such as North America and Europe, where Apple devices enjoy a strong user base. The seamless user experience, robust

Map grid of Greene County. The grid includes Section, Township and Range and the Public Works map grid number.

The City Engineering Quarter Section Map Index contains information regarding City Engineering quarter section numbers and Public Land Survey System (PLSS) information for each quarter section in the City and County of Denver, as well as a few of the surrounding section quarters. For each quarter section of the PLSS in the City and County of Denver, the City Engineering (later the City Surveyor's office) developed and maintained a linen sheet depicting subdivision, lot, ordinance, and easement data in that quarter section. Using Broadway and Colfax Avenue as the dividing lines, the CCD is broken into four quadrants, and the quarter sections for each quadrant are numbered beginning with 1. NOTE: Maintenance of these quarter section sheets was discontinued after 1996 due to the development of the CCD GIS.

This dataset contains the distinct architectonic Area STS1 (STS) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area STS1 (STS). The probability map of Area STS1 (STS) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.

This part of DS 781 presents data for the shaded-relief bathymetry map of the Offshore of Salt Point map area, California. The raster data file is included in "BathymetryHS_OffshoreSaltPoint.zip", which is accessible from https://pubs.usgs.gov/ds/781/OffshoreSaltPoint/data_catalog_OffshoreSaltPoint.html. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Golden, N.E., Hartwell, S.R., Erdey, M.D., Greene, H.G., Cochrane, G.R., Kvitek, R.G., Manson, M.W., Endris, C.A., Dieter, B.E., Watt, J.T., Krigsman, L.M., Sliter, R.W., Lowe, E.N., and Chin, J.L. (S.Y. Johnson and S.A. Cochran, eds.), 2015, California State Waters Map Series—Offshore of Salt Point, California: U.S. Geological Survey Open-File Report 2015–1098, pamphlet 37 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20151098. The shaded-relief bathymetry map of the Offshore of Salt Point Map Area, California, were generated from bathymetry data collected by California State University, ...

The Digital Geologic Map of International Boundary and Water Commission Mapping in Amistad National Recreation Area, Texas and Mexico is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Eddie Collins, Amanda Masterson and Tom Tremblay (Texas Bureau of Economic Geology); Rick Page (U.S. Geological Survey); Gilbert Anaya (International Boundary and Water Commission). Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (ibwc_metadata.txt; available at http://nrdata.nps.gov/amis/nrdata/geology/gis/ibwc_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (ibwc_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 14N. The data is within the area of interest of Amistad National Recreation Area.

The Digital Geologic Map of Amistad National Recreation Area and Vicinity, Texas and Mexico is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Eddie Collins, Amanda Masterson and Tom Tremblay (Texas Bureau of Economic Geology); Rick Page (U.S. Geological Survey); Gilbert Anaya (International Boundary and Water Commission). Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (amis_metadata.txt; available at http://nrdata.nps.gov/amis/nrdata/geology/gis/amis_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (amis_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 14N. The data is within the area of interest of Amistad National Recreation Area.

description: Special Use Districts City and County of San Francisco Planning Department. The Special Use Districts are a component of the Zoning Map. The Zoning - Map comprises: - Zoning Districts - Height and Bulk Districts - Special Use Districts - Preservation Districts - Coastal Zone Area - Sprcial Sign Districts The official Zoning Map can be found in the San Francisco Planning Code: http://library.municode.com/index.aspx?clientId=14145&stateId=5&stateName=California (click on the links under ZONING MAPS on the left navigation column). Sec 235 of the Planning Code states: "In addition to the use districts that are established by Section 201 of this Code, there shall also be in the City such special use districts as are established in this Section and Sections 236 through 249.5, in order to carry out further the purposes of this Code. The designations, locations and boundaries of these special use districts shall be as provided in Sections 236 through 249.5, and as shown on the Zoning Map referred to in Section 105 of this Code, subject to the provisions of Section 105. The original of the numbered sectional maps of the Zoning Map for Special Use Districts referred to in Sections 236 through 249.5 is on file with the Clerk of the Board of Supervisors under File No. 191-67-2. and No. 273.80. In any special use district the provisions of the applicable use district established by Section 201 shall prevail, except as specifically provided in Sections 236 through 249.5."; abstract: Special Use Districts City and County of San Francisco Planning Department. The Special Use Districts are a component of the Zoning Map. The Zoning - Map comprises: - Zoning Districts - Height and Bulk Districts - Special Use Districts - Preservation Districts - Coastal Zone Area - Sprcial Sign Districts The official Zoning Map can be found in the San Francisco Planning Code: http://library.municode.com/index.aspx?clientId=14145&stateId=5&stateName=California (click on the links under ZONING MAPS on the left navigation column). Sec 235 of the Planning Code states: "In addition to the use districts that are established by Section 201 of this Code, there shall also be in the City such special use districts as are established in this Section and Sections 236 through 249.5, in order to carry out further the purposes of this Code. The designations, locations and boundaries of these special use districts shall be as provided in Sections 236 through 249.5, and as shown on the Zoning Map referred to in Section 105 of this Code, subject to the provisions of Section 105. The original of the numbered sectional maps of the Zoning Map for Special Use Districts referred to in Sections 236 through 249.5 is on file with the Clerk of the Board of Supervisors under File No. 191-67-2. and No. 273.80. In any special use district the provisions of the applicable use district established by Section 201 shall prevail, except as specifically provided in Sections 236 through 249.5."

This dataset consists of the vector version of the Land Cover Map 2000 for Great Britain, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26 LCM2000 target or ('sub') classes. This is the most widely used version of the dataset. Level 3 gives higher class detail. However, the quality of this level of detail may vary in different areas of the country, requiring expert interpretation. The dataset is part of a series of data products produced by the Centre for Ecology and Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990. Like the earlier 1990 products, LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.

This part of DS 781 presents data for the bathymetric contours for several seafloor maps of the Offshore of Point Reyes map area, California. The vector data file is included in "Contours_PointReyes.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshorePointReyes/data_catalog_PointReyes.html.

10-m interval contours of the Offshore of Point Reyes map area, California, were generated from bathymetry data collected by California State University, Monterey Bay (CSUMB) and by Fugro Pelagos. Mapping was completed between 2007 and 2010, using a combination of 200-kHz and 400-kHz Reson 7125, and 244-kHz Reson 8101 multibeam echosounders, as well as 468-kHz SEA SWATHPlus interferometric system. These mapping missions combined to collect bathymetry from about the 10-m isobath to beyond the 3-nautical-mile limit of California's State Waters. Bathymetric contours at 10-m intervals were generated from a bathymetric surface model. The most continuous contour segments were preserved while smaller segments and isolated island polygons were excluded from the final output. Contours were smoothed via a polynomial approximation with exponential kernel (PAEK) algorithm using a tolerance value of 60 m. The contours were then clipped to the boundary of the map area. These data are not intended for navigational purposes.

This dataset contains the distinct architectonic Area 6d1 (PreG) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area 6d1 (PreG). The probability map of Area 6d1 (PreG) are provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.

Area exposed to one or more hazards represented on the hazard map used for risk analysis of the RPP. The hazard map is the result of the study of hazards, the objective of which is to assess the intensity of each hazard at any point in the study area. The evaluation method is specific to each hazard type. It leads to the delimitation of a set of areas on the study perimeter constituting a zoning graduated according to the level of the hazard. The assignment of a hazard level at a given point in the territory takes into account the probability of occurrence of the dangerous phenomenon and its degree of intensity.For PPRTs the hazard levels are determined by effect effect on maps by type of effect and overall on an aggregated level on a synthesis map.All hazard areas represented on the hazard map are included. Areas protected by protective structures must be represented (possibly in a specific way) as they are always considered to be subject to hazard (cases of breakage or inadequacy of the structure).The hazard zones may be classified as data compiled in so far as they result from a synthesis using several sources of calculated, modelled or observed hazard data. These source data are not covered by this class of objects but by another standard dealing with the knowledge of hazards.Some areas of the study perimeter are considered “zero or insignificant hazard zones”. These are the areas where the hazard has been studied and is nil. These areas are not included in the object class and do not have to be represented as hazard zones.

The Digital Geomorphic-GIS Map of the New Inlet to Rodanthe Area (1:10,000 scale 2006 mapping), North Carolina 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 (nwir_geomorphology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (nwir_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (nwir_geomorphology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). 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 GIS readme file (caha_fora_wrbr_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (caha_fora_wrbr_geomorphology.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 (nwir_geomorphology_metadata_faq.pdf). Please read the caha_fora_wrbr_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. 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: East Carolina University. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (nwir_geomorphology_metadata.txt or nwir_geomorphology_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 1:10,000 and United States National Map Accuracy Standards features are within (horizontally) 8.5 meters or 27.8 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 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).

California's Coastal Zone generally extends seaward to the state's outer limit of jurisdiction, including all offshore islands, and inland to approximately 1,000 yards from the mean high tide line (MHTL) of the sea, or in significant coastal estuarine, habitat, and recreational areas to the first major ridgeline paralleling the sea or five miles from the mean high tide line of the sea, whichever is less. In developed urban areas the zone generally extends inland less than 1,000 yards. This data set represents the landward boundary of California's Coastal Zone. Public Resources Code (PRC) Section 30103(a) specifically defines California's Coastal Zone as that land and water area of the State of California from the Oregon border to the border of the Republic of Mexico depicted on maps identified and set forth in Section 17 of that chapter of the Statutes of the 1975-76 Regular Session enacting PRC Division 20 (the Coastal Act of 1976). PRC Section 30103(b) directed the Coastal Commission to prepare and adopt more detailed 1:24,000 scale Coastal Zone Boundary (CZB) maps, which occurred March 1, 1977. These 161 adopted maps provide the official basis for all other representations of the landward CZB. The digital version of the CZB created by developing this shapefile is a conformed copy of the official boundary, and in some locations reflects legislative changes and Coastal Commission minor adjustments adopted from time to time since March 1977.

Section 30103 of the Coastal Act:

Coastal zone; map; purpose (a) "Coastal zone" means that land and water area of the State of California from the Oregon border to the border of the Republic of Mexico, specified on the maps identified and set forth in Section 17 of Chapter 1330 of the Statutes of 1976, extending seaward to the state's outer limit of jurisdiction, including all offshore islands, and 11 extending inland generally 1,000 yards from the mean high tide line of the sea. In significant coastal estuarine, habitat, and recreational areas it extends inland to the first major ridgeline paralleling the sea or five miles from the mean high tide line of the sea, whichever is less, and in developed urban areas the zone generally extends inland less than 1,000 yards. The coastal zone does not include the area of jurisdiction of the San Francisco Bay Conservation and Development Commission, established pursuant to Title 7.2 (commencing with Section 66600) of the Government Code, nor any area contiguous thereto, including any river, stream, tributary, creek, or flood control or drainage channel flowing into such area.

Note that the California's State Waters limit, which generally is 3 nautical miles [5.6 km] from shore, extends farther offshore (as much as 12 nautical miles) between Santa Cruz and Monterey, so that it encompasses all of Monterey Bay.

Shapefile of zoning quartersection map index. Grid to determine which zoning quartersection map relates to specific areas of NYC.

A sectional index grid to determine which Zoning Map refers to specific areas of New York City. Zoning maps show the boundaries of zoning districts throughout the city. The maps are regularly updated after the City Planning Commission and the City Council have approved proposed zoning changes. The set of 126 maps, which are part of the Zoning Resolution, are displayed in 35 sections. Each section is identified by a number from 1 to 35 and is further divided into one to four quarters, each identified by a letter a, b, c or d (map 8d or 33c for example). Each map covers an area of approximately 8,000 feet (north/south) by 12,500 feet (east/west).

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).