Developing Automated Map Generalisation Workflow for Building, Road, and Stream Course Features in Topographic Map of Hong Kong

Generalisation of map features constitutes an essential process for creating maps in smaller scales.During this process, mapmakers apply appropriate generalisation operators to ensure that the map remains legible while preserving the major geographic characteristics and spatial relationships of features.Traditionally, map generalisation has been conducted manually, a time-consuming and labour intensive process that often results in lengthy revision cycle of small scale maps.This presents challenges in maintaining the currency of map content, especially in areas experiencing frequent city development.Furthermore, the subjective interventions of map makers on map generalisation hinders data quality and consistency among the maps.In light of these challenges, various National Mapping Agencies (NMAs) have recognised automated map generalization as a means to increase map production efficiency (Foerster, Stoter, & Kraak, 2010).

Authors

Institutions

Publication Details

Journal
Abstracts of the ICA
Published
2025-12-12
DOI
https://doi.org/10.5194/ica-abs-10-162-2025
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing Automated Map Generalisation Workflow for Building, Road, and Stream Course Features in Topographic Map of Hong Kong

Coco Yin Tung Kwok
Abstracts of the ICA
Geographic Information Systems Studies
article

Developing Automated Map Generalisation Workflow for Building, Road, and Stream Course Features in Topographic Map of Hong Kong

Coco Yin Tung Kwok
article en

Abstract

Generalisation of map features constitutes an essential process for creating maps in smaller scales.During this process, mapmakers apply appropriate generalisation operators to ensure that the map remains legible while preserving the major geographic characteristics and spatial relationships of features.Traditionally, map generalisation has been conducted manually, a time-consuming and labour intensive process that often results in lengthy revision cycle of small scale maps.This presents challenges in maintaining the currency of map content, especially in areas experiencing frequent city development.Furthermore, the subjective interventions of map makers on map generalisation hinders data quality and consistency among the maps.In light of these challenges, various National Mapping Agencies (NMAs) have recognised automated map generalization as a means to increase map production efficiency (Foerster, Stoter, & Kraak, 2010).

Abstracts of the ICAVol. 10
Government of Hong Kong (HK)
Openalex Percentile: Top 53%
Geographic Information Systems Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Developing Automated Map Generalisation Workflow for Building, Road, and Stream Course Features in Topographic Map of Hong Kong — Coco Yin Tung Kwok · Abstracts of the ICA (2025) | TGRS Research Map | TGRS