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People benefiting from potential new open space in the Southeast United States, large park analysis, 3 mile distance (2018)

Metadata Updated: June 15, 2024

Publicly accessible open spaces provide valuable opportunities for people to exercise, play, socialize, and build community. People are more likely to use public open spaces that are close (ideally within walking distance) to their homes, and larger open spaces often provide more amenities. To assess the potential benefit of creating new open space in the southeast US, we identified areas without access to open space within a certain distance category (in this case, 3 miles). Then, for each 30-meter pixel in the study area, we then totaled the number of people within 3 miles who do not currently have access to open space within that distance. This represents the number of people who would benefit from new open space created on that pixel.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date May 31, 2023
Metadata Updated Date June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Identifier e5136e9f-be3c-4b3c-929d-27c8ed9608fe
Data Last Modified 2020-01-15
Category geospatial
Public Access Level public
Bureau Code 010:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id e885d791-6969-4557-9eed-0af0d4f0c17b
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -95.8142,23.8894,-74.4924,40.7098
Source Datajson Identifier True
Source Hash 678170ccdc688d906bc5d08721e3e43be027f2d7d0cd6be0ad13a362a926fe7e
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -95.8142, 23.8894, -95.8142, 40.7098, -74.4924, 40.7098, -74.4924, 23.8894, -95.8142, 23.8894}

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