The aggregation of objects representing buildings in the Kartuzy district - scale 1:10000 - Open Research Data - Bridge of Knowledge

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The aggregation of objects representing buildings in the Kartuzy district - scale 1:10000

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 national geodesy and cartography resource from BDOT10k (10k topographic database) [1].

The data cover the spatial range of Kartuzy district. In the district there are buildings of almost every class according to the BDOT10k classification except BUBD20. Single-family residential buildings account for 61% of all buildings, farm buildings for 31%, each of the other classes contains less than 2%.

The provided data include original data downloaded from geoportal.gov.pl (on 6 November 2020) [2] as well as processed data. The aggregation process was performed taking into account the proximity of the neighborhood [3] based on the minimum size of the figure [4, 5]. The data are the basis for the subsequent steps in the process of sequential generalization of building groups.

Literature

[1] Regulation of the Ministry of Administration and Digitization, W sprawie bazy danych obiektów topograficznych oraz bazy danych obiektów ogólnogeograficznych, a także standardowych opracowań kartograficznych [Regarding the database of topographic objects and the database of general geographic objects, as well as standard cartographic studies.]

[2] www.geoportal.gov.pl [access: 06.11.2020].

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

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

[5] 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

KAR_BuildingAggregation.zip
13.1 MB, S3 ETag ddece6ef872a6e4428e1e6158179c10e-1, downloads: 20
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File details

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

Details

Year of publication:
2020
Verification date:
2020-12-28
Creation date:
2020
Dataset language:
English
Fields of science:
  • Civil engineering and transport (Engineering and Technology)
DOI:
DOI ID 10.34808/sbm3-rc50 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

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