Year: 2022
Type: article
Abstract: Automation of the cartographic generalization process is the main subject of research in modern cartography but there is still no comprehensive method allowing for the transition from a map of a larger scale to a map of a smaller scale.This process is carried out by cartographers with use of various types of generalization operators, such as selection or aggregation, which leads to the simplification of the map image.The goal of automating generalization is to make this process independent of operator interaction and to improve the process of obtaining maps on smaller scales.This research develops and tests the methodology of automated generalization from the scale of 1:50,000 to the scale 1:100,000 of road network stored in Vector Map Level 2 (VML2) database.It is a spatial database that is corresponding in terms of detail to a topographic map in a scale of 1:50 000.The VML2 data structure is compatible with DIGEST (Digital Geographic Exchange Standard), which is used in NATO.The tests were conducted on the basis of road features located in central Poland near Lodz city -51°47' N, 19°27' E. Numerous authors have already been researching the road generalization in different aspects.In publication Pueyo et al. (2019) authors juxtaposed various generalization techniques for street networks.Lyu et al. (2022) showed the road network generalization method that is constrained by residential areas what provides some interesting results.Moreover, Wenhao et al. (2019) performed road network generalization on the basis of traffic flow patterns which differs from commonly used geometric approach and turned out to be very accurate.
Source: Abstracts of the ICA
Author: Wojciech Dawid
Institution: Military University of Technology in Warsaw
Language: English
Subfield: Geography, Planning and Development
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
Award: G7916031626
OpenAlex ID: W4295779741