Automated generalisation of buildings using CartAGen platform

TL;DR

This paper introduces a methodology for automatically generalising building representations at various scales using the open-source CartAGen platform, evaluated on UK and Indian data sources.

Contribution

It presents a novel automated generalisation approach for buildings at multiple scales using CartAGen, including modifications for different data sources.

Findings

Successful generalisation at multiple scales from 1:10K data

Effective application to UK and Indian data sources

Demonstrated adaptability of CartAGen for diverse data products

Abstract

In this paper, we present a methodology to automatically derive the generalised representations of buildings at scales 1:25K, 1:50K, and to delineate the urban area for 1:250K scale representation. These generalised representations are derived from 1:10K scale. The automatic generalisation processes are realised using the specific algorithms and the generalisation models available in the CartAGen (CARTographic Agent GENeralisation) platform. The CartAGen is an open source map generalisation platform developed by IGN France. The proposed methodology in this paper is evaluated using the data products available from the Ordnance Survey, UK, and the Survey of India, India. This study investigates the applicability of the CartAGen platform for generalising the data products which have been excluded from the investigations by IGN France. This paper discusses the modifications required for such data products.