The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000 - Open Research Data - Bridge of Knowledge

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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in 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 input data are building groups obtained as a result of the aggregation operator activity (KAR_BuildingAggregation). The Sester's simplifying operator is designed to simplify buildings, eliminating sections that do not meet the minimum length [2, 3]. As a result of the simplification process, 5.3% of building groups have been removed.

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] Sester, Monika, and Claus Brenner. "Continuous generalization for fast and smooth visualization on small displays." International Archives of Photogrammetry and Remote Sensing 34.part 4 (2004): 1293-1298.

[3] Sester, Monika, and Claus Brenner. "A vocabulary for a multiscale process description for fast transmission and continuous visualization of spatial data." Computers & Geosciences 35.11 (2009): 2177-2184.

Dataset file

KAR_SimplificationSester.zip
4.5 MB, S3 ETag 1cd1e4fba4a2f81dd2f90b046b431361-1, downloads: 61
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download file KAR_SimplificationSester.zip

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License:
Creative Commons: by 4.0 open in new tab
CC BY
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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 10.34808/06mr-5291 open in new tab
Series:
Verified by:
Gdańsk University of Technology

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