The aggregation of objects representing buildings in the Kartuzy district - scale 1:25000 - Open Research Data - Bridge of Knowledge

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The aggregation of objects representing buildings in the Kartuzy district - scale 1:25000

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_k25_BuildingAggregation.zip
8.6 MB, S3 ETag abc055ae81e3bc6519c83390cef82c62-1, downloads: 53
The file hash is calculated from the formula
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 KAR_k25_BuildingAggregation.zip

File details

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

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 10.34808/5fwb-nf49 open in new tab
Series:
Verified by:
Gdańsk University of Technology

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