The Digital Surficial Geologic-GIS Map of Glacier Bay National Park and Preserve and Vicinity, Alaska and British Columbia 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 (glba_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 (glba_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 (glba_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 (glba_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (glba_surficial_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 (glba_surficial_geology_metadata_faq.pdf). Please read the glba_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: National Park Service. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (glba_surficial_geology_metadata.txt or glba_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 1:100,000 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).

Points feature class representing all parkland in Baltimore County, including County-owned and County-leased land classified as parks, school recreation centers, green/open spaces, and other recreation sites. Contains attributes describing amenities located at each site.

The Digital Surficial Geologic-GIS Map of Fort Vancouver National Historic Site, Washington is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (fova_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 3.X map file (.mapx) file (fova_surficial_geology.mapx) and individual Pro 3.X layer (.lyrx) 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 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 (fova_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (fova_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 (fova_surficial_geology_metadata_faq.pdf). Please read the fova_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: National Park Service. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (fova_surficial_geology_metadata.txt or fova_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 1:20,000 and United States National Map Accuracy Standards features are within (horizontally) 10.2 meters or 33.3 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 Pro, 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 BC Land Based Investment (LBI) fish passage program is focused on remediating stream crossings that impede freshwater fish migration. The most common barrier to fish is improperly designed and installed closed bottom structures such as culverts. Remediation of these structures often involves replacing these barriers with properly designed embedded structures or open bottom structures such as bridges. The four phase delivery of the fish passage program involves fish passage assessments, habitat confirmation, design and construction to remediate the stream crossing.

Feature class contains all railroads, updated in 1995 1996 1997 2001 and 2008, depending on what area of the county you are in. Rail features updated in 2008 according to Source Date field were not captured in stereo, and were captured using heads up digitizing.

This entity is a point feature class within ESRI's Geodatabase. It stores the geographic location for an address location and will contain a unique feature identifier. Each location can represent one to many address designations.

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF VANCOUVER, WA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribut...

Biogeoclimatic Ecosystem Classification (BEC) has been applied extensively in characterizing forested ecosystems in British Columbia. With a lack of qualified vectorization method used for BEC data transformation, the main goal of this research is to polygonize discontinuous BEC raster classes into vector map with better overall effectiveness and efficiency especially regarding the linear areas. The original data input for analysis is a machine-learning BEC zone raster map of Deception Study Area located in middle BC near Telkwa, with a resolution of 5m*5m. A comprehensive comparison between vectorization algorithms in GIS applications was conducted, including different filtering, simplifying and smoothing algorithms. Since we have the original predicted BEC raster map as the performance measurement, accuracy was directly measured as the percentage of correctly classified pixels when rasterizing the polygons. The evaluation criteria include visual effect, number of polygons, linear patches accuracy processing time. We found an appropriate vectorization routine to polygonize the classification raster maps. The polygonal map using Scenario D has overall satisfactory effectiveness and efficiency with a 46% linear patch accuracy and 62,014 polygons. The method also provides good approximations of the areas with moderate processing time. This is partly because we allow vertices to be located anywhere and not just exactly on the boundary of the original raster zones. We can promote this polygonization method in future predicted ecosystem mapping (PEM) product with similar linear and discontinuous areas. Priority of several key BEC zone classification with importance level regarding to the ecosystem condition related to endangered species can be further explored and added to the algorithms to better polygonize those areas in future studies.

The LOMA feature class contains features for each address for which a LOMA has been issued by the Federal Emergency Management Agency (FEMA). A LOMA can affect flood zone determination without a map change. The feature class was created by interpreting the information contained on each LOMA and mapping the location(s) for each of the addresses cited in the document. A PDF of the LOMA document was associated to the feature as an attachment. For addresses having more than one LOMA, only a single feature was created and additional attachments were associated to the feature. This feature class contains “historical” LOMA location/documents not revalidated by FEMA.

The data release for the geologic and structure maps of the Kalispell 1 x 2 degrees quadrangle, Montana, and Alberta and British Columbia, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Miscellaneous Investigations Series Map I-2267 (Harrison and others, 2000). The updated digital data present the attribute tables and geospatial features (lines and polygons) in the format that meets GeMS requirements. This data release presents the geologic map as shown on the plates and captured in geospatial data for the published map. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 16,436 square kilometer, geologically complex Kalispell 1 x 2 degrees Quadrangle, at a publication scale of 1:250,000. The map covers primarily Flathead and Lincoln Counties, but also inclu ...

The Stormwater Network consists of 11 features classes with related drawing number tables. Feature classes include: inflow points, outfall points, network structures, general points, storm drain lines, underdrains, trench slotted drains, channel swales, outfall protections, stormwater management (SWM) ponds, and SWM drainage areas. The SWM pond points and the SWM drainage areas are managed by the Department of Environmental Protection and Sustainability (EPS) while the remaining feature classes are managed by the Department of Public Works (DPW) with some overlap occurring in the outfall point feature class.

The TZ_2016 feature class combined with the Int_2016 feature class represents the intersections with a level of service rating of D, E or F and the associated commutershed as represented on the 2016 Transportation Basic Services Map.The 2016 Transportation Basic Services Map was enacted under bill number 18-16 and is part of the Baltimore County Zoning Regulations, 1955 as amended by the bill adopted May 2, 2016. Effective May 16, 2016.

This georectified digital map portrays Oregon, Washington, Idaho and British Columbia. Map date: 1863. The original paper map was scanned, georeferenced, and rectified to broaden access and to facilitate use in GIS software.Georeferenced source data: https://insideidaho.org/data/ago/uofi/library/historic-maps-spec/bancroftsMapOfORWAID.tif.zipNon-georeferenced source data: https://digital.lib.uidaho.edu/digital/collection/spec_hm/id/6/rec/1Original printed map is in Special Collections and Archives, University of Idaho Library, Moscow, ID 83844-2350; http://www.lib.uidaho.edu/special-collections/.

Land forms and settlement statistics.

The MetroDistrict feature class contains the current land area included in the metropolitan district in Baltimore County. The metropolitan district is a land planning area determines the status of whether or not a property is eligible for public water and sewer services.The metropolitan district geodatabase includes the MetroDistrict, MetroDistrictLine, MetroDistrictPoly, MetroDistrictMargin feature classes and BCMDLineage table.

Feature class contains all contour lines for Baltimore County. Contours are captured in 2 foot intervals. Contours were created from LiDAR captured to meet or exceed the FEMA QL 2 specification. LiDAR was captured in April of 2014.

Annular counts/density in platform density sectors (see Table 4).

The information in the abstract is translated from the archaeological report: The investigation at Landstorp (property Nyckelby 3:9) was made on the grounds that the area of the ancient monument RAÄ 246 needs to be considered for the planned rebuilding and new construction of National Road 32/50 between Motala and Mjölby. Directly adjacent to RAÄ 246, previous excavations found remains from the Neolithic to late historical times. In the previous investigations two grooves and a row of post holes were found, and interpreted as hut floors and two-aisled houses from the Neolithic. No more clear structures could be found among the other features. The results of the now completed field evaluation are very similar. Several pole-and stakes holes as well as pits, probably settlement related, were found. The most obvious remnants were two horseshoe-shaped grooves, one which was 14C-dated to 2460-2190 BC (2 sigma). Another dating pointed to the Neolithic (3700-3250 BC, 2 sigma). Similar sites with Neolithic grooves are known from the inland of Östergötland, but the number is few at present.

Purpose:

The information in the purpose is translated from the archeological report: On behalf of the Vägverket Southeast Region, following a decision by the County Administrative Board in Östergötland (reg. 4312415-09), Arkeologikonsult conducted a field evaluation survey at Landstorp in Västra Stenby parish prior to the construction of National Road 50 Motala-Mjölby.

The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey.

The information in the abstract is translated from the archaeological report: The Swedish National Heritage Board's contract archaeology division, UV Öst, has performed a preliminary investigation during autumn 2005 and a subsequent final excavation during summer 2006 in Kimstad, within the property Ask 5:1, Norrköping municipality. The municipality was planning to build a new train station that would affect the prehistoric settlement site RAÄ 258. The excavations covered the remains of a neolithic house and a few other features. Two samples of charcoal have been dated to the Late Mesolithic, c. 4300 BC. A third sample was dated to the Early Neolithic, c. 3700 BC. About 3 kg of early neolithic pottery was collected. A polished axe of diabase supports this dating, which seems to bee the earliest phase of the settlement. The house was supported by one row of posts and included remains of hearths, pits and a larger storage pit.

Purpose:

The information in the purpose is translated from the archaeological report: The aim of the preliminary investigation was to delimit the archaeological site and to try to determine its character and dating. The aim of the final excavation was to determine the function and dating of the site and thus get a more definite understanding of the period of time the site has been used as well as its function. The aim was also to place the site in a larger perspective, comparing it to other settlement sites from the same era.

The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey.

Rights of Way, or Encumbrances as they are called in the geographic information system, are parcels that the county has rights to traverse, either through easement rights or through outright in-fee ownership to said parcel. The encumbrance layer in the GIS system, includes the in-fee parcels as recorded in a database maintained by the Real Estate Compliance section of the Permits, Approvals and Inspections department numbering approximately 18,700. In addition, it contains road maintenance information, road closure information, and other rights of way information.