The orthogonalization of objects simplified with the Simplify Building tool representing groups of buildings in Kartuzy district - scale 1:10000 - Open Research Data - Bridge of Knowledge

Your account

login

Search

The orthogonalization of objects simplified with the Simplify Building tool 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].

Data obtained from the Simplify Building tool activity (KAR_SimplificationArcGIS.geojason) are subjected to the next stage of the sequential generalization process - orthogonalization. This is a two-stage process:

- the segments with a similar azimuth are averaged (similarity within the epsilon in the angular extent) and the direction of the azimuth of each segment is compared and rotated according to the azimuth of the longest segment,

- from the longest part of the object's boundary, subsequent sections are rotated in relation to their own center so that a right angle is created.

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.]

Dataset file

KAR_OrthogonalizationArcGIS.zip
5.3 MB, S3 ETag 3caa8df02c14c6845aca088caaf0d7be-1, downloads: 67
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_OrthogonalizationArcGIS.zip

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/wc4c-sr21 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

References

Cite as

Authors

seen 145 times