Next Article in Journal
The Impact of the Accuracy of Terrain Surface Data on the Navigation of Off-Road Vehicles
Previous Article in Journal
Modeling of the German Wind Power Production with High Spatiotemporal Resolution
Article

A Zonal Displacement Approach via Grid Point Weighting in Building Generalization

by 1,2,* and 1
1
Division of Cartography, Department of Geomatic Engineering, Yildiz Technical University, 34220 Istanbul, Turkey
2
Division of Cartography, Department of Geomatic Engineering, Nigde Omer Halisdemir University, 51240 Nigde, Turkey
*
Author to whom correspondence should be addressed.
Academic Editors: Wolfgang Kainz and Georg Gartner
ISPRS Int. J. Geo-Inf. 2021, 10(2), 105; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10020105
Received: 31 December 2020 / Revised: 31 January 2021 / Accepted: 17 February 2021 / Published: 23 February 2021
When generalizing a group of objects, displacement is an essential operation to resolve the conflicts arising between them due to enlargement of their symbol sizes and reduction of available map space. Although there are many displacement methods, most of them are rather complicated. Therefore, more practical methods are still needed. In this article, a new building displacement approach is proposed. For this purpose, buildings are grouped and zones are created for them in the blocks via Voronoi tessellation and buffering. Linear patterns are then detected through buffer analyses and the respective zones are narrowed to be able to preserve these patterns. After all the buildings are displaced inside their zones, grid points are generated and then weighted through kernel density estimation and buffer analyses to find suitable locations. Accordingly, the buildings are displaced toward the computed locations iteratively. The proposed approach directly enforces minimum distance and positional accuracy constraints while several indirect mechanisms are used for preserving spatial patterns and relationships. For the quality evaluation of the displacement, the angle, length and shape comparison measures are introduced, computed based on the (Delaunay) triangles or the azimuth comparison measure of the connection lines, generated for the buildings. The quality evaluation criteria are yielded according to the visual assessment of the displacement quality and the quantitative analysis of the measures. The findings demonstrate that the proposed approach is quite effective and practical for zonal building displacement. View Full-Text
Keywords: building displacement; generalization zones; grid point weighting; linear patterns; displacement evaluation measures and criteria building displacement; generalization zones; grid point weighting; linear patterns; displacement evaluation measures and criteria
Show Figures

Figure 1

MDPI and ACS Style

Sahbaz, K.; Basaraner, M. A Zonal Displacement Approach via Grid Point Weighting in Building Generalization. ISPRS Int. J. Geo-Inf. 2021, 10, 105. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10020105

AMA Style

Sahbaz K, Basaraner M. A Zonal Displacement Approach via Grid Point Weighting in Building Generalization. ISPRS International Journal of Geo-Information. 2021; 10(2):105. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10020105

Chicago/Turabian Style

Sahbaz, Kadir, and Melih Basaraner. 2021. "A Zonal Displacement Approach via Grid Point Weighting in Building Generalization" ISPRS International Journal of Geo-Information 10, no. 2: 105. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10020105

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop