GENERALISATION AND DATA QUALITY

Evaluation of generalisation quality

This paper proposes a methodology to assess the quality of generalisation. Generalisation consists in representing in a simplified way a geographic space, according to the scale and to the objectives of the map. The automation of this process makes the derivation of data easier, but the data quality of the results is often not evaluated. This paper deals with the definition of generalisation ev...

Learning from Data Generalisation

Exploratory Construction of Generalisation Rules for Landuse Vector Data Generalisation

Landuse vector data generalisation is to derive a new landuse dataset or map from an initial dataset by removing the minor details. The generalised results should delineate the dominant landuse characteristics of important landuse types in a reduced map space or a theme-specific application. The generalisation process are guided and controlled by a set of generalisation rules serving for the re...

Data Enrichment for Adaptive Generalisation

This paper presents the research framework for a new project funded by the Swiss National Science Foundation, called DEGEN (Data Enrichment for automated map GENeralisation) which supports two PhD projects. With a focus on thematic cartography (GIS maps, web mapping, location-based services) and the data types prevailing in these map types (polygonal subdivisons, points of interest, etc.), the ...

Interactive and Automated Segmentation and Generalisation of Raster Data

This paper review past and current research activity in the area of generalisation of spatial data and presents a new methodological framework for segmentation and generalisation of raster data. In order to overcome drawbacks associated with supervised classification and generalisation of raster data, an Interactive Automated Segmentation and Raster Generalisation Framework (IASRGF) was develop...