Automated generalisation within NMAs in 2016

Jantien Stoter, Vincent Van Altena, Marc Post, Dirk Burghardt, Cecile Duchêne

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

Abstract

Producing maps and geo-data at different scales is traditionally one of the main tasks of National (and regional) Mapping Agencies (NMAs). The derivation of low-scale maps (i.e. with less detail) from large-scale maps (with more detail), i.e. generalisation, used to be a manual task of cartographers. With the need for more up-to-date data as well as the development of automated generalisation solutions in both research and industry, NMAs are implementing automated generalisation production lines. To exchange experiences and identify remaining issues, a workshop was organised end 2015 by the Commission on Generalisation and Multirepresentation of the International Cartographic Association and the Commission on Modelling and Processing of the European Spatial Data Research. This paper reports about the workshop outcomes. It shows that, most NMAs have implemented a certain form of automation in their workflows, varying from generalisation of certain features while still maintaining a manual workflow; semiautomated editing and generalisation to a fully automated procedure.

Original languageEnglish
Title of host publicationEuroSDR contributions to ISPRS Congress XXIII, 12 - 19 July 2016 Special Session 12 – EuroSDR Prague, Czech Republic
PublisherEuropean Spatial Data Research
Pages77-91
Publication statusPublished - 2017
Event23rd International Society for Photogrammetry and Remote Sensing Congress - Prague, Czech Republic
Duration: 12 Jul 201619 Jul 2016
Conference number: 23

Publication series

NameOfficial Publication - EuroSDR
Number66
ISSN (Print)0257-0505

Conference

Conference23rd International Society for Photogrammetry and Remote Sensing Congress
Abbreviated titleISPRS 2016
Country/TerritoryCzech Republic
CityPrague
Period12/07/1619/07/16

Fingerprint

Dive into the research topics of 'Automated generalisation within NMAs in 2016'. Together they form a unique fingerprint.

Cite this