| Date | Title | Provider |
| 2001 |
The 1980 Pennsylvania state geologic map (Berg and others, 1980) shows the areal distribution of 194 bedrock geologic units. The units range in geologic age from Quaternary to Precambrian and encompass a wide variety of lithologies. The map was compiled and published in a transverse mercator projection at 1:250,000 scale. The two digital data sets include 195 geologic units, which, for the most part, closely correspond to those shown on the 1980 map. The data sets were prepared using ArcInfo software and are provided in a geographic coordinate system (units in decimal degrees). Although it is possible to portray digital data at any scale, the geologic formational contacts, faults, and dikes represented in these data sets are not intended to be used at any scale finer than 1:250,000.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
PaGS assembled 214,851 relevant well records from Pennsylvania, GroundWater Information System (PaGWIS) and other unpublished PaGS reports. Each well used in the analysis contains a measurement of the depth to bedrock (in feet) and/or a notation indicating if bedrock was encountered during well drilling, these attributes allow well records to be separated into two datasets – bedrock wells (wells that penetrate bedrock) and drift wells (wells that did not encounter bedrock).Topographic Position Index (TPI) is a quantitative landform analysis that uses land surface elevation data to determine landforms such as ridge, upper slope, middle/flat slope, lower slope, and valley. A composite TPI raster for each of Pennsylvania’s 23 physiographic sections was generated. Each well data point was attributed to a physiographic section and assigned a TPI value based on its location. The square root of depth-to-bedrock was calculated for each well. A linear regression relationship between the TPI and the square root of sediment thickness was established for five TPI classes (ridge, upper slope, middle/flat slope, lower slope, and valley) in each of the 23 physiographic sections. This statistical relationship was used to create a surrogate model for depth to bedrock to predict sediment thickness across the state. Synthetic data points were generated from the surrogate model to fill in areas of low well data density. A combination of bedrock well data points and synthetic data points were used to generate the first-iteration sediment thickness model through a natural neighbor interpolation technique. Iterative refinements to the sediment thickness model were made by comparing model predictions to drift well data points. If the total depth of the drift well was less than the predicted thickness of sediment at that location, then the drift well data point was ignored. If the total depth of a drift well was greater than the predicted thickness of sediment at that location, then the drift well data point was added to dataset and a new sediment thickness model was generated. In total, 413, 474 data points were used in the modeling process – 207,130 empirically derived well points and 206, 344 synthetic points derived from the surrogate model.The final sediment thickness model was resampled to a 100-meter grid digital raster conforming to a similar resolution surface topography digital elevation raster. The surface topography grid was smoothed to remove detail before subtracting the sediment thickness to create a bedrock elevation map. The degree of smoothing was applied proportionally to the magnitude of sediment thickness. Portions of the surface topography grid that correspond to sediment thickness greater than 365 feet received the maximum amount of smoothing; likewise, portions of the surface topography grid that correspond to zero sediment thickness received no smoothing. The remaining portions of the surface topography grid that correspond to sediment thickness between 0 and 365 feet received gradational smoothing proportional to the sediment thickness.This 100-meter grid bedrock elevation raster was calculated by subtracting the sediment thickness model from the conditionally-smoothed surface topography digital elevation raster.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Kids in Nature Regions of Pennsylvania
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Pennsylvania DCNR Bureau of Recreation and Conservation Regions
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Pennsylvania State Forest DMAP Units
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
Pennsylvania State Forest Mature Oak Stands
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Pennsylvania State Forest Meadows Food Plots and Other Herbaceous Openings
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Pennsylvania State Forest Mineral Rights Ownership and Leased Lands
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Pennsylvania State Forest Young Aspen Stands
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Physiographic Provinces of Pennsylvania
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Physiographic Sections of Pennsylvania
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Bedrock Geology of Pennsylvania Geologic Units
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Coal Fields in Pennsylvania Anthracite
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| Pennsylvania Department of Conservation and Natural Resources |
| 2022 |
Coal Fields in Pennsylvania High Volatile Bituminous
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Coal Fields in Pennsylvania Low Volatile Bituminous
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Coal Fields in Pennsylvania Medium Volatile Bituminous
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| Pennsylvania Department of Conservation and Natural Resources |
| 2022 |
Coal Fields in Pennsylvania Semi Anthracite
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Earthquakes in Pennsylvania 1724 - 2003
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Late Wisconsinan Glacial Border in Pennsylvania
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| Pennsylvania Department of Conservation and Natural Resources |
| 2022 |
Maximum Elevations in Pennsylvania Counties
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Pennsylvania DCNR Bureau of Recreation and Conservation Grants Trails
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
Pennsylvania Publicly Owned Streambeds
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Pennsylvania State Forest ADA Accessible Sites
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Pennsylvania State Forest Gated Roads Open for Deer Season
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Surficial Geology of Pennsylvania Eskers
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Surficial Geology of Pennsylvania Varves
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Civilian Conservation Corps Camps
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
State Park Amenities
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
State Park Campground Entrances
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
State Park Hiking Trails
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
State Park Ponds and Lakes
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
State Park Roads
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
This feature class contains lines for rail-trails in the state of Pennsylvania, as prepared by the Rails-to-Trails Conservancy. The majority of data was collected using GPS units and checked for quality and accuracy against high-resolution aerial imagery. See Method. Data was collected between November 2007 and August 2008.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2008 |
This feature class contains points associated with the line feature class for rail-trails in the state of Pennsylvania, as prepared by the Rails-to-Trails Conservancy. The majority of data was collected using GPS units and checked for quality and accuracy against high-resolution aerial imagery. See Method. Data was collected between November 2007 and August 2008. See Subtype Code for point type.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
Trail Gaps
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
TreeVitalize is a public-private partnership established by DCNR to help build capacity within communities to plan for, plant, and care for trees, and to offer educational trainings to help citizens understand the diverse benefits of trees and the importance of properly planting and maintaining them.
TreeVitalize offers a broad range of services to support sustainable urban and community forestry programs across the state.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2007 |
This point dataset represents an (incomplete) inventory of karst features (herein categorized as sinkholes, surface depressions, surface mines, or cave entrances) that have been cataloged in Pennsylvania by the staff of the Pennsylvania Geological Survey since 1985. County-wide karst-feature inventories for fourteen counties (Adams, Berks, Bucks, Centre, Chester, Cumberland, Dauphin, Franklin, Lancaster, Lebanon, Lehigh, Montgomery, Northampton, and York) were originally released as hard-copy open file reports by the agency. The user of this dataset would be well served to consult one of those reports for specifics on how the inventories were conducted. Data are also provided from incidental reports of karst features as well as partial or cursory inventories in eight additional counties (Bedford, Blair, Clinton, Fulton, Huntingdon, Juniata, Lycoming, and Mifflin).
The majority of these features were identified on contact prints of USDA, USGS, and other aerial photography. Photo locations were then transferred to paper copies of USGS 7.5 minute quadrangles where the coordinates for the locations were determined using a constantly evolving array of technologies from mylar overlay grids, through early proprietary mapping software and more recently with GIS and GPS technology. . Some features in urbanized areas were identified via questionnaires that were sent to the municipalities in the counties being inventoried. The locations of surface mines and cave entrances were garnered from historical geological publications.
Locations of historical iron mines and other activities often associated with karst features were garnered from historical geological publications.
Field surveys were undertaken to establish protocol for future mapping efforts as well as to verify the field presence of interpreted features. Field verified sites are not identified in the data set.
Karst features change considerably over time. Sinkholes become filled or subsidence is repaired. One of the motivations for the karst inventory program was the rapid development taking place in many of the counties where karst could be a problem. Development obliterates much of the evidence for underlying karst features.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
This feature class contains centerline data for trails in the state of Pennsylvania, as prepared by the Pennsylvania Department of Conservation and Natural Resources, Rails-to-Trails Conservancy, PA Fish and Boat Commission, and the Keystone Trails Association. The majority of the data was collected using GPS units and checked for quality and accuracy against high-resolution aerial imagery. See Method. GPS data was collected between November 2007 and October 2009. Trail updates are submitted by users through explorepatrails.com and are evaluated and updated on a regular basis.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2017 |
This feature class contains points associated with the line feature class for trails in the state of Pennsylvania, as prepared by the PA DCNR, Rails-to-Trails Conservancy, PA Fish and Boat Commission, and Keystone Trails Association. The majority of the data was collected using GPS units and checked for quality and accuracy against high-resolution aerial imagery. See Method. Data was collected between November 2007 and October 2009. See Subtype Code for point type. Trail updates are submitted by users through explorepatrails.com and are evaluated and updated on a regular basis.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2017 |
Water trails designated by the Pennsylvania Fish and Boat Commission in Pennsylvania. Visit http://sites.state.pa.us/PA_Exec/Fish_Boat/watertrails/trailindex.htm for more information.Allows for mapping on a statewide or regional scale of water trail extents in Pennsylvania.The data set was created by selecting the appropriate segments from the 1:24000 National Hydrography Dataset (NHD) flowing waters layer corresponding to the water trail extents. The segments were merged together to form the water trail lines.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2017 |
Boundaries of the PA DCNR, Bureau of Forestry Districts. These districts represent the regional management organization of the Bureau.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2014 |
This dataset represents a snapshot of forest fragmentation on state forest land as of December 31, 2012. The data was derived from the Bureau of Forestry’s fragmentation analysis in the April 2014 Shale Gas Monitoring Report using the University of Connecticut’s Landscape Fragmentation Tool (LTF) v 2.0 and the Bureau of Forestry’s data. The results categorize state forest land into: 1) small core patches less than 100 hectares, 2) Medium core patches with an area between 100 and 200 hectares, 3) Large core patches greater than 200 hectares, 4) Non-forested area, 5) Forest Edge, 6) Perforated forest, and 7) Patch forest. The default 100 meters was used to define forest edge. The fragmentation model considers all changes and is not limited to just shale gas activities (non-shale gas related changes do affect the results of this analysis too). April 2014 Shale Gas Monitoring Report Fragmentation
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| Pennsylvania Department of Conservation and Natural Resources |
| 2014 |
This dataset represents a snapshot of forest fragmentation on state forest land prior to shale-gas development (pre-2008).
The data was derived from the Bureau of Forestry’s fragmentation analysis in the April 2014 Shale Gas Monitoring Report using the University of Connecticut’s Landscape Fragmentation Tool (LTF) v 2.0 and the Bureau of Forestry’s data. The results categorize state forest land into: 1) small core patches less than 100 hectares, 2) Medium core patches with an area between 100 and 200 hectares, 3) Large core patches greater than 200 hectares, 4) Non-forested area, 5) Forest Edge, 6) Perforated forest, and 7) Patch forest. The default 100 meters was used to define forest edge. The fragmentation model considers all changes and is not limited to just shale gas activities (non-shale gas related changes do affect the results of this analysis too). April 2014 Shale Gas Monitoring Report Fragmentation
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| Pennsylvania Department of Conservation and Natural Resources |
| 2014 |
State forest roads impacted by shale gas development as of December 31, 2012. This dataset was used in part to develop the Bureau of Forestry’s Shale Gas Monitoring Report (released April 2014). This data represents primarily State Forest managed roads impacted by shale gas development as of 12/31/2012. This data was based on the best available information at the time and may contain errors or omissions. April 2014 Shale Gas Monitoring Report Infrastructure
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| Pennsylvania Department of Conservation and Natural Resources |
| 2014 |
Infrastructure pad sites on state forest land as of December 31, 2012. This dataset was used in part to develop the Bureau of Forestry’s Shale Gas Monitoring Report (released April 2014). This feature class represents any pads related to gas development and is not limited to natural gas wellhead pads only. The Bureau of Forestry considers any hardened non-linear surface related to shale gas development to be a pad for monitoring purposes. This feature class contains the best available data as of 12/31/2012. Pad Type Code Values: 1=Gas Well, 2=Road ROW, 3=Pipeline, 4=Compressor, 5=Freshwater Impoundment, 6=Water Withdraw, 7=Storage, 8=Stone Pit/Quarry, 9=Meter/Valve/Tap, 10=Monitoring, 11=Oil Well, 12=Oil and Gas Well. April 2014 Shale Gas Monitoring Report Infrastructure
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| Pennsylvania Department of Conservation and Natural Resources |
| 2014 |
Limits of Clearance (LOC) for infrastructure development of shale gas activities on state forest land as of December 31, 2012. This dataset was used in part to develop the Bureau of Forestry’s Shale Gas Monitoring Report (released April 2014). This dataset is intended to represent areas where vegetation would be removed or altered due to shale gas development. This area tends to be equal to or less than DEP permitted Limits of Disturbance (LOD). The permitted LOD can include erosion & sedimentation measures that do not impact surface vegetation (such as silt sock). LOC typically include the area where gas infrastructure is developed such as roads, pads and pipelines and the additional workspace cleared for the project. Shale gas related development projects tend to be adjacent to each other and could possibly be attributed to several types of development (pads, roads, pipelines). The individual features have been arbitrarily assigned to a single type of development to avoid counting the same areas several times. Portions of the LOC may be reclaimed or allowed to revert back to natural vegetation within the near future, and is therefore not necessarily an accurate measure of vegetated areas permanently converted to non-vegetation. This data is an estimate of the area that was cleared for a shale gas related project. There may be inaccuracies in the vector or attribute data. This data is intended for demonstration, monitoring, planning, educational, and research purposes only.Project Type Code Values: 1=Gas Well, 2=Road ROW, 3=Pipeline, 4=Compressor, 5=Freshwater Impoundment, 6=Water Withdraw, 7=Storage, 8=Stone Pit/Quarry, 9=Meter/Valve/Tap, 10=Monitoring, 11=Oil Well, 12=Oil and Gas Well. April 2014 Shale Gas Monitoring Report Infrastructure
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| Pennsylvania Department of Conservation and Natural Resources |
| 2014 |
Ownership data used in the generation of the Bureau of Forestry’s Shale-Gas Monitoring Report (April 2014). This dataset was used in part to develop the Bureau of Forestry’s Shale Gas Monitoring Report (released April 2014). Representation of mineral rights, leased tracts, etc. on lands managed by the Bureau of Forestry as of December 31, 2012. Updates to this dataset are ongoing and this data is not intended to be a legal representation of ownership. This data may contain inaccuracies or incomplete information. This dataset includes ownership information where a "tract" number has been assigned by the Bureau of Forestry (leased tracts and severed rights lands where the ownership of said rights has been verified). This dataset was created from several different datasets of unknown lineage. The boundaries do not exactly match the Bureau of Forestry’s state forest boundary data. It is an estimate of the boundaries only and is not intended to be a legal description or depiction of boundaries. This data may contain inaccuracies or incomplete information. April 2014 Shale Gas Monitoring Report Infrastructure
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| Pennsylvania Department of Conservation and Natural Resources |
| 2014 |
Pipelines permitted through a DCNR natural gas lease or developed on state forest lands where DCNR does not own the mineral rights. This dataset was used in part to develop the Bureau of Forestry’s Shale Gas Monitoring Report (released April 2014). This dataset represents pipelines where construction has been started or completed before December 31, 2012 and permitted through a DCNR natural gas lease or developed on state forest lands where DCNR does not own the mineral rights.Pipeline Type Code Values: 1=Gathering, 2=Marketing, 3=Water, 4=Other or Unknown, 5=Meter/Valve/Tap, 6=Trunk. April 2014 Shale Gas Monitoring Report Infrastructure
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| Pennsylvania Department of Conservation and Natural Resources |
| 1995 |
Late in 1994, the Pennsylvania Bureau of Topographic and Geologic Survey was
asked to develop a digital physiographic provinces map at 1:100,000 scale. The
then-available physiographic provinces map was compiled by the Survey at
1:500,000 scale and published at 1:2,000,000 scale in 1989. A new physiographic
provinces map was recompiled on county 1:50,000-scale topographic maps having
20-foot contour intervals. Boundaries based primarily on geology were positioned
using published geological maps. Most boundaries were positioned by topographic
interpretation. The use of a 20-foot contour interval (a 200-foot interval was
used in 1989) resulted in the repositioning of some boundaries. New
scale-enhanced understanding of topographic/geologic patterns in the Appalachian
Plateaus province resulted in the creation of three new sections and the revision
of other section boundaries. The new compilation was reduced 50 percent and
transferred to 1:100,000-scale mylar base maps. The province and section
boundaries and the late Wisconsinan glacial border were digitized from the
mylars, edgematched, assembled into a single dataset, and attributed with
physiographic province and section names using UNIX-based Arc/Info. The late
Wisconsinan glacial border, which coincides with province and section boundaries
in some places, was copied to a separate dataset and removed from the dataset
containing the province and section boundaries. There are two datasets for the
late Wisconsinan glacial border and the physiographic province and section
boundaries. The original datasets are accurate at 1:100,000 scale. The other
datasets have been generalized to 1:500,000-scale accuracy for more regional
work.
A companion dataset consisting of the state and county boundaries of Pennsylvania
was compiled from the U.S. Geological Survey (USGS) 1:100,000-scale
digital-line-graph (DLG) files for boundaries. The dataset has been attributed
with the county names.
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| Pennsylvania Department of Conservation and Natural Resources |
| 1995 |
Late in 1994, the Pennsylvania Bureau of Topographic and Geologic Survey was
asked to develop a digital physiographic provinces map at 1:100,000 scale. The
then-available physiographic provinces map was compiled by the Survey at
1:500,000 scale and published at 1:2,000,000 scale in 1989. A new physiographic
provinces map was recompiled on county 1:50,000-scale topographic maps having
20-foot contour intervals. Boundaries based primarily on geology were positioned
using published geological maps. Most boundaries were positioned by topographic
interpretation. The use of a 20-foot contour interval (a 200-foot interval was
used in 1989) resulted in the repositioning of some boundaries. New
scale-enhanced understanding of topographic/geologic patterns in the Appalachian
Plateaus province resulted in the creation of three new sections and the revision
of other section boundaries. The new compilation was reduced 50 percent and
transferred to 1:100,000-scale mylar base maps. The province and section
boundaries and the late Wisconsinan glacial border were digitized from the
mylars, edgematched, assembled into a single dataset, and attributed with
physiographic province and section names using UNIX-based Arc/Info. The late
Wisconsinan glacial border, which coincides with province and section boundaries
in some places, was copied to a separate dataset and removed from the dataset
containing the province and section boundaries. There are two datasets for the
late Wisconsinan glacial border and the physiographic province and section
boundaries. The original datasets are accurate at 1:100,000 scale. The other
datasets have been generalized to 1:500,000-scale accuracy for more regional
work.
A companion dataset consisting of the state and county boundaries of Pennsylvania
was compiled from the U.S. Geological Survey (USGS) 1:100,000-scale
digital-line-graph (DLG) files for boundaries. The dataset has been attributed
with the county names.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
An intermediate product of the Pennsylvania Hydrography Dataset (PAHD) generation. This product is the result of a conflation study with existing hydrography originated by the Allegheny County Division of Computer Services Geographic Information Systems Group. This product is not intended to be a finalized component of the Pennsylvania Hydrography Dataset (PAHD): these are provisional data that have undergone no manual refinement. The Modeled_PAHD_Flowpath geometries represent an intermediate product that was created from a workflow that was examining, among other things, the application of conflation steps, monotonicity, and Topographic Positioning Index (TPI) products toward an automated elevation-derived hydrography (EDH) workflow.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2011 |
Open-file reports are informal releases that allow quicker public access to geologic data. They also may be released when the information is expected to be updated frequently, or when a limited audience is expected. Open-file reports are compiled by Survey staff and/or outside cooperators. They are reviewed for conformity with the open-file publication guidelines of the Bureau of Topographic and Geologic Survey but have not gone through a formal editorial review process. In terms of technical and geological content, the standards for preparation of texts for informal release should not vary in quality, accuracy, or precision from the standards applied to similar geologic texts destined for formal publication.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2020 |
This dataset can help inform trail and trailhead planning by identifying areas with the greatest need for trail access opportunities. It calculates 10-minute drive “service areas” around trailheads in Pennsylvania. Regions outside these service areas are defined as low, medium, or high need based on population density, youth density, and low-income households. Trailhead data came from Explore PA Trails. The Trust for Public Land produced this dataset to support Pennsylvania’s 2020-2024 Statewide Comprehensive Outdoor Recreation Plan (SCORP). This dataset was financed in part by a grant from the Community Conservation Partnerships Program, Environmental Stewardship Fund, under the administration of the Pennsylvania Department of Conservation and Natural Resources, Bureau of Recreation and Conservation
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| Pennsylvania Department of Conservation and Natural Resources |
| 2020 |
This dataset provides county-level summary statistics on who has 10-minute drive access to trailheads in Pennsylvania and who doesn’t. The statistics derive from overlaying 2018 US Census block group data with the Outdoor Recreation Access: 10-Minute Drive to Trailheads layer. Statistics include overall number of citizens served as well as demographic breakdowns by age, income, race/ethnicity, and social vulnerability. The Trust for Public Land produced this dataset to support Pennsylvania’s 2020-2024 Statewide Comprehensive Outdoor Recreation Plan (SCORP). This dataset was financed in part by a grant from the Community Conservation Partnerships Program, Environmental Stewardship Fund, under the administration of the Pennsylvania Department of Conservation and Natural Resources, Bureau of Recreation and Conservation.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2020 |
This dataset can help inform fishing and boating access planning by identifying areas with the greatest need for water access opportunities. It calculates 10-minute drive “service areas” around fishing and boating access points in Pennsylvania. Regions outside these service areas are defined as low, medium, or high need based on population density, youth density, and low-income households. Water access data came from Explore PA Trails and the Pennsylvania Fish and Boat Commission’s Access Points (Fishing and Boating). The Trust for Public Land produced this dataset to support Pennsylvania’s 2020-2024 Statewide Comprehensive Outdoor Recreation Plan (SCORP). This dataset was financed in part by a grant from the Community Conservation Partnerships Program, Environmental Stewardship Fund, under the administration of the Pennsylvania Department of Conservation and Natural Resources, Bureau of Recreation and Conservation.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2020 |
This dataset provides county-level summary statistics on who lives within a 10-minute drive to fishing and boating access in Pennsylvania and who doesn’t. The statistics derive from overlaying 2018 US Census block group data with the Outdoor Recreation Access: 10-Minute Drive to Water Access layer. Statistics include overall number of citizens served as well as demographic breakdowns by age, income, race/ethnicity, and social vulnerability. The Trust for Public Land produced this dataset to support Pennsylvania’s 2020-2024 Statewide Comprehensive Outdoor Recreation Plan (SCORP). This dataset was financed in part by a grant from the Community Conservation Partnerships Program, Environmental Stewardship Fund, under the administration of the Pennsylvania Department of Conservation and Natural Resources, Bureau of Recreation and Conservation.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2020 |
This dataset can help inform park and trailhead planning by identifying areas with the greatest need for outdoor recreation opportunities. It calculates 10-minute walk “service areas” around open-access lands and trailheads in Pennsylvania. Regions outside these service areas are defined as low, medium, or high need based on population density, youth density, and low-income households. Open-access land data came from PA Conserved Land and Explore PA Local Parks, while trailhead data came from Explore PA Trails. The Trust for Public Land produced this dataset to support Pennsylvania’s 2020-2024 Statewide Comprehensive Outdoor Recreation Plan (SCORP). This dataset was financed in part by a grant from the Community Conservation Partnerships Program, Environmental Stewardship Fund, under the administration of the Pennsylvania Department of Conservation and Natural Resources, Bureau of Recreation and Conservation.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2020 |
This dataset provides county-level summary statistics on who has 10-minute walk access to outdoor recreation in Pennsylvania and who doesn’t. The statistics derive from overlaying 2018 US Census block group data with the Outdoor Recreation Access: 10-Minute Walk layer. Statistics include overall number of citizens served as well as demographic breakdowns by age, income, race/ethnicity, and social vulnerability. The Trust for Public Land produced this dataset to support Pennsylvania’s 2020-2024 Statewide Comprehensive Outdoor Recreation Plan (SCORP). This dataset was financed in part by a grant from the Community Conservation Partnerships Program, Environmental Stewardship Fund, under the administration of the Pennsylvania Department of Conservation and Natural Resources, Bureau of Recreation and Conservation.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2020 |
This dataset provides municipal-level summary statistics on who has 10-minute walk access to outdoor recreation in Pennsylvania and who doesn’t. The statistics derive from overlaying 2018 US Census block group data with the Outdoor Recreation Access: 10-Minute Walk layer. Statistics include overall number of citizens served as well as demographic breakdowns by age, income, race/ethnicity, and social vulnerability. The Trust for Public Land produced this dataset to support Pennsylvania’s 2020-2024 Statewide Comprehensive Outdoor Recreation Plan (SCORP). This dataset was financed in part by a grant from the Community Conservation Partnerships Program, Environmental Stewardship Fund, under the administration of the Pennsylvania Department of Conservation and Natural Resources, Bureau of Recreation and Conservation.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2020 |
Developed by the US Forest Service, the Recreation Opportunity Spectrum (ROS) classifies land into categories based on the probable recreation experiences it affords. This 30-m raster dataset adapts the Forest Service method to fit the landscape and local data in Pennsylvania. ROS classifies land based on land use, a location’s distance from roads, and the amount of human disturbance nearby. These classifications can help determine potential recreation opportunities that lands across the commonwealth can provide. The dataset assigns one of the following values to each cell statewide in Pennsylvania: Urban, Crop, Water, Disturbed, Rural, Front Country, Mid Country, and Back Country. CAUTION: This dataset covers the full state of Pennsylvania. It examines recreation potential, not whether lands are open to the public. The Trust for Public Land produced this dataset to support Pennsylvania’s 2020-2024 Statewide Comprehensive Outdoor Recreation Plan (SCORP). This dataset was financed in part by a grant from the Community Conservation Partnerships Program, Environmental Stewardship Fund, under the administration of the Pennsylvania Department of Conservation and Natural Resources, Bureau of Recreation and Conservation.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
The Local Park data layer is to be used to depict the approximate boundary of Local Parks.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2015 |
The PA Local Parks Access Points data layer is to be used to depict the approximate location of PA Local Parks Access Points.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
Boundaries of the PA DCNR, Bureau of Forestry Districts. These districts represent the regional management organization of the Bureau.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2006 |
This data set represents the state forest management areas including part of the state forest boundary.
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| Pennsylvania Department of Conservation and Natural Resources |
| 1995 |
Late in 1994, the Pennsylvania Bureau of Topographic and Geologic Survey was
asked to develop a digital physiographic provinces map at 1:100,000 scale. The
then-available physiographic provinces map was compiled by the Survey at
1:500,000 scale and published at 1:2,000,000 scale in 1989. A new physiographic
provinces map was recompiled on county 1:50,000-scale topographic maps having
20-foot contour intervals. Boundaries based primarily on geology were positioned
using published geological maps. Most boundaries were positioned by topographic
interpretation. The use of a 20-foot contour interval (a 200-foot interval was
used in 1989) resulted in the repositioning of some boundaries. New
scale-enhanced understanding of topographic/geologic patterns in the Appalachian
Plateaus province resulted in the creation of three new sections and the revision
of other section boundaries. The new compilation was reduced 50 percent and
transferred to 1:100,000-scale mylar base maps. The province and section
boundaries and the late Wisconsinan glacial border were digitized from the
mylars, edgematched, assembled into a single dataset, and attributed with
physiographic province and section names using UNIX-based Arc/Info. The late
Wisconsinan glacial border, which coincides with province and section boundaries
in some places, was copied to a separate dataset and removed from the dataset
containing the province and section boundaries. There are two datasets for the
late Wisconsinan glacial border and the physiographic province and section
boundaries. The original datasets are accurate at 1:100,000 scale. The other
datasets have been generalized to 1:500,000-scale accuracy for more regional
work.
A companion dataset consisting of the state and county boundaries of Pennsylvania
was compiled from the U.S. Geological Survey (USGS) 1:100,000-scale
digital-line-graph (DLG) files for boundaries. The dataset has been attributed
with the county names.
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| Pennsylvania Department of Conservation and Natural Resources |
| 1995 |
Late in 1994, the Pennsylvania Bureau of Topographic and Geologic Survey was
asked to develop a digital physiographic provinces map at 1:100,000 scale. The
then-available physiographic provinces map was compiled by the Survey at
1:500,000 scale and published at 1:2,000,000 scale in 1989. A new physiographic
provinces map was recompiled on county 1:50,000-scale topographic maps having
20-foot contour intervals. Boundaries based primarily on geology were positioned
using published geological maps. Most boundaries were positioned by topographic
interpretation. The use of a 20-foot contour interval (a 200-foot interval was
used in 1989) resulted in the repositioning of some boundaries. New
scale-enhanced understanding of topographic/geologic patterns in the Appalachian
Plateaus province resulted in the creation of three new sections and the revision
of other section boundaries. The new compilation was reduced 50 percent and
transferred to 1:100,000-scale mylar base maps. The province and section
boundaries and the late Wisconsinan glacial border were digitized from the
mylars, edgematched, assembled into a single dataset, and attributed with
physiographic province and section names using UNIX-based Arc/Info. The late
Wisconsinan glacial border, which coincides with province and section boundaries
in some places, was copied to a separate dataset and removed from the dataset
containing the province and section boundaries. There are two datasets for the
late Wisconsinan glacial border and the physiographic province and section
boundaries. The original datasets are accurate at 1:100,000 scale. The other
datasets have been generalized to 1:500,000-scale accuracy for more regional
work.
A companion dataset consisting of the state and county boundaries of Pennsylvania
was compiled from the U.S. Geological Survey (USGS) 1:100,000-scale
digital-line-graph (DLG) files for boundaries. The dataset has been attributed
with the county names.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2008 |
This polygon feature class is a digital representation of physiographic provinces of Pennsylvania. It is a result of visual interpretation of the topography of Pennsylvania as illustrated by 20-feet countour intervals on 1:50,000 scale county-size topographic maps. There has been no field investigation or aerial photograph interpretation involved in the production of this dataset. The feature class has the attribute field called "PHYSNO", which has been padded to 14 character length for all records.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2008 |
This polygon feature class is a digital representation of physiographic sections of Pennsylvania. It is a result of visual interpretation of the topography of Pennsylvania as illustrated by 20-feet countour intervals on 1:50,000 scale county-size topographic maps. There has been no field investigation or aerial photograph interpretation involved in the production of this dataset. The feature class has the attribute field called "PHYSNO", assigned as a unique number identifier. The number represents two steps in the units hierarchy (province-section) and has been padded to 14 character length for all records.
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| Pennsylvania Department of Conservation and Natural Resources |
| 1998 |
The land surface of Pennsylvania is anything but flat and horizontal. The surface comprises complex arrangements of differences in elevation above mean sea level. The spatial arrangement of these elevation differences comprises topography. Topography that has describable uniformity throughout some areal dimension is termed a landform. Landforms can be classified, boundaries can be drawn, and a map can be created. A preliminary landform map was compiled at approximately 1:605,500 scale. The map has four levels of landform subdivision: province, section, region, and district. These units range in size from many hundreds of square miles (province) to less than 200 square miles (district). The greatest topographic similarity for a given landform unit occurs in the smallest subdivision (district). The greatest topographic dissimilarity for a given landform unit occurs in the largest subdivision (province).
The landform map was digitized using ARC/INFO software. Polygon attributes include name of physiographic province, section, district, and area, and the numerical designation of the landform unit. Arcs were attributed according to whether they form the boundary of one or more of the following: province, section, region, district, or state.
These data sets are preliminary and will be superseded in 1999 by more detailed data sets prepared from 1:50,000-scale compilation maps having five levels of landform subdivision.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2014 |
The expected recreation experience and characterization of wild character that users can expect to find on the state forest system as of December 31, 2012. This dataset was used in part to develop the Bureau of Forestry’s Shale Gas Monitoring Report (released April 2014). The Bureau of Forestry uses a modified version of the Recreational Opportunity Spectrum (ROS) to estimate the wild character of state forest land and the experience that recreationists can be expected to find in different portions of state forest system. This dataset represents the excepted ROS experience as of December 31, 2012. The Bureau of Forestry’s ROS zones are defined as: Primitive: greater than 1,000 acres and more than 1 mile from motorized roads, trails, and railroads. Semi-Primitive: greater than 500 acres and more than 1/2 mile from motorized roads, trails, and railroads.Semi-Primitive Non-motorized: greater than 250 acres and more than 1/4 mile from motorized roads, trails, and railroads.Semi-Developed and Developed (Other Zones): No minimum size or remoteness criteria. The ROS model considers all changes. Non-shale gas related changes do affect the results of the analysis. April 2014 Shale Gas Monitoring Report ROS
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| Pennsylvania Department of Conservation and Natural Resources |
| 2014 |
The expected recreation experience and characterization of wild character that users can expect to find on the state forest system prior to shale-gas development (pre-2008). This dataset was used in part to develop the Bureau of Forestry’s Shale Gas Monitoring Report (released April 2014). The Bureau of Forestry uses a modified version of the Recreational Opportunity Spectrum (ROS) to estimate the wild character of state forest land and the experience that recreationists can be expected to find in different portions of state forest system. This dataset represents the excepted ROS experience prior to Shale-Gas development (pre-2008). The Bureau of Forestry’s ROS zones are defined as: Primitive: greater than 1,000 acres and more than 1 mile from motorized roads, trails, and railroads. Semi-Primitive: greater than 500 acres and more than 1/2 mile from motorized roads, trails, and railroads.Semi-Primitive Non-motorized: greater than 250 acres and more than 1/4 mile from motorized roads, trails, and railroads.Semi-Developed and Developed (Other Zones): No minimum size or remoteness criteria. The ROS model considers all changes. Non-shale gas related changes do affect the results of the analysis. April 2014 Shale Gas Monitoring Report ROS
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| Pennsylvania Department of Conservation and Natural Resources |
| 2000 |
Contains multiple Rivers Conservation Plans for Pennsylvania. Each folder includes various files with data about that particular river study area.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2023 |
Central office locations for the PA DCNR, Bureau of Forestry Districts. The districts represent the regional management organization of the Bureau.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
The state forest boundary coverage is being updated frequently. It is derived from survey descriptions and will be, and has been in certain areas, adjusted to GPS boundary corners.
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| Pennsylvania Department of Conservation and Natural Resources |
| 2024 |
State Park Boundaries as of February 2009
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| Pennsylvania Department of Conservation and Natural Resources |