The aggregation of objects representing Gdańsk district buildings - scale 1:10000. Data from OSM. - Open Research Data - Bridge of Knowledge

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The aggregation of objects representing Gdańsk district buildings - scale 1:10000. Data from OSM.

Description

The process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].

The data include the spatial scope of Gdańsk district. Most buildings do not have a prescribed type. The provided data include original data downloaded from OSM (on 26 April 2021) [1] as well as processed data. The aggregation process was performed taking into account the proximity of the neighborhood [2] based on the minimum size of the figure [3, 4]. The data are the basis for the subsequent steps in the process of sequential generalization of building groups.

Literature

[1] http://download.geofabrik.de/ [access: 26.04.2021].

[2] Kozioł, Krystian, and Michał Lupa. "The use of merging and aggregation operators for MRDB data feeding." Geoinformatica Polonica 12 (2013): 17-24.

[3] Chrobak, Tadeusz. Badanie przydatności trójkąta elementarnego w komputerowej generalizacji kartograficznej. Uczelniane Wydawnictwa Naukowo-Dydaktyczne AGH, 1999.

[4] Chrobak, Tadeusz, et al. "A method for assessing generalized data accuracy with linear object resolution verification." Geocarto International 32.3 (2017): 238-256.

 

Dataset file

GDA_10k_OSM_BuildingAggregation.zip
12.5 MB, S3 ETag a1f201a9b89ca84c15e55c41412d1105-1, downloads: 58
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hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file GDA_10k_OSM_BuildingAggregation.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution

Details

Year of publication:
2021
Verification date:
2021-05-30
Creation date:
2021
Dataset language:
English
Fields of science:
  • Civil engineering and transport (Engineering and Technology)
DOI:
DOI ID 10.34808/wznj-fr03 open in new tab
Series:
Verified by:
Gdańsk University of Technology

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