Opis
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 include the spatial scope of Gdańsk district. In the city, there are buildings of each class according to the BDOT10k classification. Single-family residential buildings constitute 47% of all buildings, buildings with three or more apartments 18%, farm buildings 15%, each of the remaining classes contains less than 4%.
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.
Plik z danymi badawczymi
hexmd5(md5(part1)+md5(part2)+...)-{parts_count}
gdzie pojedyncza część pliku jest wielkości 512 MBPrzykładowy skrypt do wyliczenia:
https://github.com/antespi/s3md5
Informacje szczegółowe o pliku
- Licencja:
-
otwiera się w nowej karcieCC BYUznanie autorstwa
Informacje szczegółowe
- Rok publikacji:
- 2020
- Data zatwierdzenia:
- 2020-12-28
- Data wytworzenia:
- 2020
- Język danych badawczych:
- angielski
- Dyscypliny:
-
- Inżynieria lądowa i transport (Dziedzina nauk inżynieryjno-technicznych)
- DOI:
- Identyfikator DOI 10.34808/wn0j-ty12 otwiera się w nowej karcie
- Seria:
- Weryfikacja:
- Politechnika Gdańska
Słowa kluczowe
Powiązane zasoby
- dane badawcze The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Gdańsk district - scale 1:10000
- dane badawcze The orthogonisation of objects simplified using the Chrobak’s method representing groups of buildings in Gdańsk district - scale 1:10000
- dane badawcze The orthogonalization of simplified objects representing groups of buildings in Gdańsk district using the Simplify Building tool - scale 1:10000
- dane badawcze Objects resulting from the sequential generalization of the buildings group in Gdańsk district - scale 1:10000
- dane badawcze The orthogonisation of objects simplified using the Sester’s method representing groups of buildings in Gdańsk district - scale 1:10000
- dane badawcze The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000
- dane badawcze The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000
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