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TwitterCity of Pittsburgh Boundary based on 2020 Census Data. This includes Mt. Oliver Borough which is not a part of Pittsburgh but is included since it is fully enclosed by Pittsburgh. This also includes rivers within Pittsburgh. This is considered current as of August 2023.
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TwitterPittsburgh City Boundary
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TwitterMost people don't know the history of their street, neighborhood, or even city. The Pittsburgh Mapping and Historical Site Viewer provides a window into the past, allowing anyone to see how the city took shape over time. It shows how the city of 22,433 people in 1835 changes over time: how neighborhoods grow and expand, while others were planned but never built. Street names change over time, empty lots become buildings, and schools and churches open and close. The maps were made by cutting and georeferencing hand-drawn paper maps made over 100 years ago. Using historic maps, some more than 175 years old, this interactive map highlights sites in the National Registry of Historic Places among others. By browsing through the years at a location, you'll find a cemetery that became a school, the arrival of rail yards, and other indicators of how the city has evolved around changes in transportation, industry, and population. This map service includes a mosaic of several volumes of plat maps that were originally bound atlases. The mosaic was created using ArcGIS software from the scanned JPEG images, varying from 300-600 dpi. These images were obtained from the Historic Pittsburgh website (http://digital.library.pitt.edu/maps/hopkins.html) The images were georeferenced to WGS84 Web Mercator and the borders were clipped to create a contiguous map.This product is to be used for reference purposes only. The original historical paper maps were sometimes damaged or distorted to varying degrees due to age and use. There are spatial inaccuracies and some places where the footprints do not lineup perfectly or in some cases overlap.Read and see more about this project:KDKA News feedEsri BlogPittsburgh Post-Gazette articleUniversity of Pittsburgh
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Pittsburgh Neighborhoods
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains all DOMI Street Closure Permit data in the Computronix (CX) system from the date of its adoption (in May 2020) until the present. The data in each record can be used to determine when street closures are occurring, who is requesting these closures, why the closure is being requested, and for mapping the closures themselves. It is updated hourly (as of March 2024).
It is important to distinguish between a permit, a permit's street closure(s), and the roadway segments that are referenced to that closure(s).
• The CX system identifies a street in segments of roadway. (As an example, the CX system could divide Maple Street into multiple segments.)
• A single street closure may span multiple segments of a street.
• The street closure permit refers to all the component line segments.
• A permit may have multiple streets which are closed. Street closure permits often reference many segments of roadway.
The roadway_id field is a unique GIS line segment representing the aforementioned
segments of road. The roadway_id values are assigned internally by the CX system and are unlikely to be known by the permit applicant. A section of roadway may have multiple permits issued over its lifespan. Therefore, a given roadway_id value may appear in multiple permits.
The field closure_id represents a unique ID for each closure, and permit_id uniquely identifies each permit. This is in contrast to the aforementioned roadway_id field which, again, is a unique ID only for the roadway segments.
City teams that use this data requested that each segment of each street closure permit
be represented as a unique row in the dataset. Thus, a street closure permit that refers to three segments of roadway would be represented as three rows in the table. Aside from the roadway_id field, most other data from that permit pertains equally to those three rows.
Thus, the values in most fields of the three records are identical.
Each row has the fields segment_num and total_segments which detail the relationship
of each record, and its corresponding permit, according to street segment. The above example
produced three records for a single permit. In this case, total_segments would equal 3 for each record. Each of those records would have a unique value between 1 and 3.
The geometry field consists of string values of lat/long coordinates, which can be used
to map the street segments.
All string text (most fields) were converted to UPPERCASE data. Most of the data are manually entered and often contain non-uniform formatting. While several solutions for cleaning the data exist, text were transformed to UPPERCASE to provide some degree of regularization. Beyond that, it is recommended that the user carefully think through cleaning any unstructured data, as there are many nuances to consider. Future improvements to this ETL pipeline may approach this problem with a more sophisticated technique.
These data are used by DOMI to track the status of street closures (and associated permits).
An archived dataset containing historical street closure records (from before May of 2020) for the City of Pittsburgh may be found here: https://data.wprdc.org/dataset/right-of-way-permits
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TwitterPittsburgh Undermined Areas
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
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TwitterThe Western Pennsylvania Regional Data Center provides a shared technological and legal infrastructure to support research, analysis, decision making and community engagement. It is managed by the University of Pittsburgh Center for Urban and Social Research in partnership with Allegheny County and the City of Pittsburgh. The data center provides public access to spatial data for the Western Pennsylvania Region.
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TwitterWatersheds for Surface Water Streams and Rivers within Pittsburgh Boundaries. StreamStats was original source and geometry simplified afterwards.
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TwitterThis dataset shows the magisterial districts in Allegheny County.
This dataset is harvested on a periodic basis from Allegheny County’s GIS data portal (https://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.
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TwitterThis dataset portrays the boundaries of the County Council Districts in Allegheny County. The dataset is based on municipal boundaries and City of Pittsburgh ward boundaries and was updated as the result of reapportionment in September 2002. It has also been attributed with the current representatives' names. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below. Category: Civic Vitality and Governance Organization: Allegheny County Department: Geographic Information Systems Group; Department of Administrative Services Temporal Coverage: 2002-present Data Notes: Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot Development Notes: none Other: none Related Document(s): Data Dictionary (none) Frequency - Data Change: As needed Frequency - Publishing: As needed Data Steward Name: Eli Thomas Data Steward Email: gishelp@alleghenycounty.us
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TwitterPittsburgh City Boundary
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TwitterThis dataset overlays a grid on the County to assist in locating a parcel. The grid squares are 3,500 by 4,500 square feet. The data was derived from original MAPINDX: Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography. Tiles are numbered in a clockwise spiral fashion starting with #1 at the point in downtown Pittsburgh. Each tile contains 16 Blocks. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.
If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.
Category: Civic Vitality and Governance
Organization: Allegheny County
Department: Geographic Information Systems Group; Department of Administrative Services
Temporal Coverage: 2002
Data Notes:
Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot
Development Notes: none
Other: none
Related Document(s): Data Dictionary (https://docs.google.com/spreadsheets/d/1yyJ_RKU2brFBYU8mh8ZIr6P_Uy3iUWOQL2ZYBv398LY/edit?usp=sharing)
Frequency - Data Change: Multiple times per hour
Frequency - Publishing: Daily
Data Steward Name: Eli Thomas
Data Steward Email: gishelp@alleghenycounty.us
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TwitterThis dataset now hosts multiple versions of the Pittsburgh Community Development Block Grant (CDBG) Census Tract areas, obtained from the Pittsburgh GIS portal: one from 2014 and one from 2018.
The WPRDC also hosts a dataset containing CDBG Census Block Group areas.
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TwitterThis is an extract from the Official FEMA Data. For any questions about this data, go to https://www.fema.gov/faq-details/GIS-Data
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TwitterThis polygon shapefile displays the 91 neighborhoods in the City of Pittsburgh.
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TwitterThe Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc.
If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.
Category: Geography
Organization: Allegheny County
Department: Geographic Information Systems Group; Department of Administrative Services
Temporal Coverage: 1994
Data Notes:
Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot
Development Notes: The dataset was created by Chester Environmental through combined image processing and GIS analysis of Landsat TM imagery of October 2, 1992, existing aerial photography, hardcopy and digital mapping sources and Census Bureau demographic data. The original dataset was created in 1993, then updated by Chester in 1994.
Other: none
Related Document(s): Data Dictionary (https://docs.google.com/spreadsheets/d/1VfUflfki42mpLSkr1R-up_OXGD3mHnv8tqeXf6XS9O0/edit?usp=sharing)
Frequency - Data Change: As needed
Frequency - Publishing: As needed
Data Steward Name: Eli Thomas
Data Steward Email: gishelp@alleghenycounty.us
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TwitterThis dataset demarcates the municipal boundaries in Allegheny County. Data was created to portray the boundaries of the 130 Municipalities in Allegheny County the attribute table includes additional descriptive information including Councils of Government (COG) affiliation (regional governing and coordinating bodies comprised of several bordering municipalities), School District, Congressional District, FIPS and County Municipal Code and County Council District.
If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.
Category: Civic Vitality and Governance
Organization: Allegheny County
Department: Geographic Information Systems Group; Department of Administrative Services
Temporal Coverage: current
Data Notes:
Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot
Development Notes: none
Other: none
Related Document(s): Data Dictionary (none)
Frequency - Data Change: As needed
Frequency - Publishing: As needed
Data Steward Name: Eli Thomas
Data Steward Email: gishelp@alleghenycounty.us
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TwitterCity of Pittsburgh Boundary based on 2020 Census Data. This includes Mt. Oliver Borough which is not a part of Pittsburgh but is included since it is fully enclosed by Pittsburgh. This also includes rivers within Pittsburgh. This is considered current as of August 2023.