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Data · dataset · 2022

A dataset of major urban park in Wuhan in 2021

Listed in ScienceDB

Urban park data have been widely applied to urban planning and management.

Description

The availability of urban park has also been viewed as one of the indicators for supporting sustainable development goals adopted by the United Nations. However, currently there still is a lack of open urban park dataset.

To fill this gap, this study aims to produce a dataset of major urban parks of Wuhan in 2021. This dataset was produced based on multi-source data, including OpenStreetMap, POI and Google Earth image. This dataset was also compared with the report-"The Major Urban Parks of Wuhan in 2021".

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We found that the correlation coefficient between the areas of urban parks for our dataset and the official report is as high as 0.96, which verified the effectiveness of our dataset. The approach of using multi-source data for acquiring urban park data has beneficial for reducing time-consuming and labor-intensive manual work; more important, this approach may also be used for acquiring urban park data of other cities.

The dataset was saved in an ESRI shapefile format, and it includes multiple attribute information, e.g., id, name, address, latitude and longitude coordinates, as well as park area. The year of this dataset is 2021.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75% · Urban and regional planning 71%
Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.017679 d agoJSON v1
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