10,000+ results returned
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Title: csp09_2unitname
Contributors:- Polygon data
- 2009
Summary: State park boundaries as delineated by Cal State Parks Survey Section
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Title: This is your map of the trails in Brown County State Park (Near Nashville)
Contributors:- Tourist maps
- 1950
Summary: "3-50--120M:--Back panel. Includes ancillary map "Detail map of the trails in the day use area" (scale approximately 12,500), location map and text on recto, text on verso. Imprint: [Indianapolis?] : Indiana Department of Conservation, Division of State Parks, Lands, and Waters, [1950] Dimensions: 37 x 28 cm, on sheet 41 x 56 cm; Scale: 1:36,000 Coordinates: W0861349 W0861339 N0390851 N0390842
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Title: Fire Protection Responsibility Area, Sonoma County, California, 2012
Contributors:- Polygon data
- 2012
Summary: The fire protection responsibility area dataset represents areas of legal responsibility for fire protection, including State Responsibility Areas (SRA), Federal Responsibility Areas (FRA), and Local Responsibility Areas (LRA) within Sonoma County. Please note, the fire protection responsibility areas are created, maintained and governed by the California Department of Forestry (CDF) and Fire Protection (CAL FIRE).. The California Department of Forestry (CDF) has a legal responsibility to provide fire protection on all State Responsibility Area (SRA) lands, which are defined based on land ownership, population density and land use. For example, CDF does not have responsibility for densely populated areas, agricultural lands, or lands administered by the federal government. To more efficiently provide protection over a more contiguous land base, CDF swaps protection areas with other providers, with the resulting lands being called CDF Direct Protection Area (DPA). SRA designations undergo a thorough 5 year review cycle, as well as annual updates for incorporations. Related Resource: CAL FIRE Web Homepage http://www.fire.ca.gov/
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Title: Trails Waukesha County, Wisconsin 2020
Contributors:- Line data
- 2020
Summary: This polygon data layer represents trails for Waukesha County, Wisconsin in 2020. The dataset was originally published by Waukesha County Dept of Parks and Land Use - Parks Divisionin 2020.
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Title: [New Jersey.] Topographic series : Sheet 24
Contributors:- Image data
- 1948
Summary: Relief shown by 20 ft contour interval. Original survey made under the direction of C. C. Vermeule, Topographer, in 1880-3. 1948 revision by R. G. Blanchard, Topographic Engineer.
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Title: California Coastal Trail, San Mateo County Sea Level Rise Vulnerability Assessment Project, 2012
Contributors:- Line data
- 2019
- United States. National Park Service
- County of San Mateo Information Services Department
- California. Department of Parks and Recreation
- California Coastal Commission
Summary: This line shapefile represents sections of the California Coastal Trail in the San Mateo County Sea Level Rise Vulnerability Assessment Project area. Data from the National Park Service (Golden Gate National Recreation Area and Point Reyes National Seashore), the California Department of Parks and Recreation (Coastal State Park Units), the California Coastal Commission (SB908), and Coastwalk (2008 alignment) were used to create this dataset. Starting with the SB908 and Coastwalk 2008 the alignment of the trail was reviewed by staff at the Conservancy for accuracy and to make sure that newly completed projects were included. Once the route was reviewed data was used from NPS, CDPR, and 1m images to digitize the new alignment. Where the CCT was already established by NPS or CDPR their alignment for the route was followed. This alignment of the CCT was created to update the SB908 (2002) alignment and the Coastwalk (2008) alignments to include new sections of the CCT. The new data is also intended to be significantly more accurate.Goal 1: Update the alignment (2012)Goal 2: Make the data usable at larger scales in web mapping applications.Goal 3: Only display the existing route available to the public. (No planned, proposed, or missing sections)This layer is part of the San Mateo County Sea Level Rise Vulnerability Assessment Project. These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. County of San Mateo Information Services Department, U.S. National Park Service, California Department of Parks and Recreation, and California Coastal Commission. (2019). California Coastal Trail, San Mateo County Sea Level Rise Vulnerability Assessment Project, 2012. County of San Mateo Information Services Department. Available at: http://purl.stanford.edu/vf492kn2050. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018
Contributors:- Raster data
- 2018
Summary: This Priority Landscape (PL) prioritizes watersheds for potential treatment to reduce wildfire risk based on threats and assets to forested lands. Ranking: The ranking varies from 1 (least risk) to 5 (greatest risk). Lands such as conifer woodlands (e.g. juniper and pinyon-juniper), oak woodlands (blue oak woodland, valley oak woodland, coastal oak woodland, etc.), shrublands, grasslands, were not included. In addition, only forested lands with a fire return interval departure (FRID) of class 2 or greater were included. This ensures that the areas most in need of treatment to restore natural fire regimes and improve ecological functions are prioritized. Assets: Surface water value: Watersheds (HUC12s) were ranked based on surface drinking water value from the USDA Forest Service's Forests to Faucet data, https://www.fs.fed.us/ecosystemservices/FS_Efforts/forests2faucets.shtml Carbon storage: Estimated amount of carbon in the forest that is in living trees above the ground was spatially imputed into a GIS layer from Forest Service FIA data by Wilson et al. (2013) using a gradient nearest neighbor (GNN) technique. See Wilson, B.T., C.W. Woodall, and D.M. Griffith, Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management, 2013. 8(1): p. 15. Standing timber: Shows the estimated commercial timber volume on lands available for harvesting. Standing Timber was was primarily derived from LEMMA Structure Maps (https://lemma.forestry.oregonstate.edu/data/structure-maps) that also used Forest Service FIA data and a GNN methodology (2012 vintage). LEMMA commercial timber volume was reduced for areas of high fire severity burns through 2017 (from FRAP), BAER imagery for areas of high severity wildfires that have occurred in 2018 (from:https://fsapps.nwcg.gov/afm/baer/download.php), and Aerial Detection Survey data of areas of high tree mortality (also subsequent to 2012). Lands not available for timber harvest were removed, including southern California and South Central Coast counties with no viable timber processing facilities. Site quality: This shows the productivity of timberland, based upon potential volume of wood (i.e. cubic feet) that can be produced per acre in a year. Site Class GIS data was produced by Wilson from Forest Service FIA data (using the same methods as for the Carbon storage layer), based upon FIA attribute SITECLCD – site productivity class code. It shows the potential timber volume produced at culmination of mean annual increment, in the standard classes used by the USFS. Large trees: Derived from FRAP vegetation layer FVEG15 (WHRSIZE), which in turn (for this attribute) came from CALVEG data of the USFS. Tree size class scores were 1=(6-11" DBH), 3=(11-24" DBH), and 5=(over 24" DBH). Threats: Fire threat: FRAP fire threat data (fthrt14_2) was derived from a combination of FRAP surface fuels data and large fire probability from the Fire Simulation (FSim) system developed by the US Forest Service Missoula, Montana Fire Sciences Laboratory. Fire Return Interval Departure (FRID): FRID shows the deviation from historic averages of fire occurrence. FRID from USFS Region 5 was used to prioritize areas most in need of treatment. FRID scores of 2, 3, and 4 were assigned scores of 1, 3, and 5 respectively. Composite Ranks: All assets were combined and the result ranked from 1 to 5 to derive a composite asset. Likewise, all threats were combined the results ranked from 1 to 5 to create a composite threat. The composite asset layer and composite threat ranks were then combined and classified to a final priority landscape rank for each 30m pixel. Watershed Ranking: A zonal mean of pixel ranks was then calculated for HUC12 watersheds (the smallest consistently delineated watershed, average approximately 24,000 acres). The end result is that each watershed is ranked from 1 (lowest threat) to 5 (highest threat) based on the combination of assets and threats and averaged by watershed. Watershed boundaries used were from the National Hydrography Dataset Watershed Boundary Dataset. This dataset was developed in 2018 to support the California Assessment of Forest and Rangelands. California. Department of Forestry and Fire Protection. (2018). Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018. California. Department of Forestry and Fire Protection. Available at: https://purl.stanford.edu/nw945zv2996 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Parks, San Francisco, California, 2015
Contributors:- Polygon data
- 2015
Summary: Parks within the extent of San Francisco; park boundaries have been updated to show 2015 features.
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Title: Map of Boston and part of its suburbs : showing public recreation grounds, burial grounds and certain other public properties generally free from buildings
Contributors:- Not specified
- 1886
Summary: 88 x 69 centimeters
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Title: Oak Leaf Trail Milwaukee County, Wisconsin 2002
Contributors:- Line data
- 2002
Summary: This line data layer represents the Oak Leaf Trail for Milwaukee County, Wisconsin in 2002. The dataset was originally published by Milwaukee County Parks in 2002.
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Title: Park Boundaries, Santa Clara County, California, 2015
Contributors:- Polygon data
- 2015
Summary: This polygon dataset shows the boundaries of all existing parklands within Santa Clara County, California in 2015. Dataset includes spatial information and other qualitiative attributes.
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Title: Points of Interest (Parks), Santa Clara County, California, 2015
Contributors:- Point data
- 2015
Summary: This point dataset shows Points of Interest within lands operated by Santa Clara County Parks and Recreation in Santa Clara County, California. The dataset is complete but has not been reviewed.
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Title: New York City Land Cover, 2010
Contributors:- Raster data
- 2010
Summary: New York City Land Cover, 2010 is a high resolution landcover dataset for New York City. This is the 3ft version of the high-resolution land cover dataset for New York City. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at 3 square feet. The primary sources used to derive this land cover layer were the 2010 LiDAR and the 2008 4-band orthoimagery. Ancillary data sources included GIS data (city boundary, building footprints, water, parking lots, roads, railroads, railroad structures, ballfields) provided by New York City (all ancillary datasets except railroads); UVM Spatial Analysis Laboratory manually created railroad polygons from manual interpretation of 2008 4-band orthoimagery.
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Title: Franklin Park, Boston, Massachusetts, 1885 (Raster Image)
Contributors:- Raster data
- 2006
- Harvard Map Collection, Harvard College Library
- Olmsted, Frederick Law, 1822-1903.
- Jackson, William, 1848-
- Boston (Mass.). Parks Dept.
Summary: This layer is a georeferenced raster image of the historic paper map entitled: General plan of Franklin Park, [by] City of Boston, Park Dept. ; Fredk. Law Olmsted, landscape architect ; William Jackson, city engineer ; Wm. M. Coombs, del. It was published in 1885. Scale [ca. 1:2,700]. Shows park paths and drives, and park features and areas (fields, hills, gardens, grounds, woods, etc.) Relief is shown by spot heights. The map includes a descriptive text, an index map with key, and tables: distances from park, areas, and lengths of ways. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This layer is part of a selection of digitally scanned and georeferenced historic maps of Massachusetts from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates (1755-1922), scales, and purposes. The digitized selection includes maps of: the state, Massachusetts counties, town surveys, coastal features, real property, parks, cemeteries, railroads, roads, public works projects, etc.
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Title: Canal map of the state of New York : to accompany the annual report of the State Engineer and Surveyor
Contributors:- Not specified
- 1919
Summary: Insets: Profile of Barge Canal -- Long Island and southern part of New York. 63 x 71 centimeters
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Title: Map of the state of New York showing locations of Barge Canal Terminals
Contributors:- Not specified
- 1918
Summary: Inset: Terminal locations in New York City. 70 x 62 centimeters
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Title: King County, Washington : historic sites
Contributors:- Point data
- 2003
Summary: King County, Washington historic sites - point file.
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Title: Ibadan Guide Map : Nigeria 1:20,000
Contributors:- Image data
- 1969
Summary: Verso: Ancillary map of "Guide map of Ibadan: commercial centre and adjoining areas (1:5,000)," and directory. Ibadan guide map right edge of map has been cut off. "Copyright reserved."
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Title: Mineral Resource Preservation Sites
Contributors:- Polygon data
- 2004
Summary: Mineral Resource Preservation Sites created through parcel numbers provided by the California State Department of Conservation Division of Mines and Geology and Marin County Department of Public Works. Four local sites were added to State list.
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Title: Parks, Beaches & Open Spaces, San Mateo County, California, 2016
Contributors:- Polygon data
- 2016
Summary: This polygonal dataset shows boundaries for all parks, beaches, and other open spaces in San Mateo County, California for 2016.Data accessed from San Mateo County Open Data: https://data.smcgov.org/Environment/Parks-Beaches-and-Open-Spaces/mrrx-thc2