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JournalISSN: 0008-7041

Cartographic Journal 

About: Cartographic Journal is an academic journal. The journal publishes majorly in the area(s): Cartographic generalization & Geographic information system. It has an ISSN identifier of 0008-7041. Over the lifetime, 1143 publication(s) have been published receiving 15138 citation(s).


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Journal ArticleDOI
TL;DR: colorBrewer is an online tool designed to take some of the guesswork out of this process by helping users select appropriate colour schemes for their specific mapping needs by considering the number of data classes, nature of their data, and the end-use environment for the map.
Abstract: Choosing effective colour schemes for thematic maps is surprisingly difficult. ColorBrewer is an online tool designed to take some of the guesswork out of this process by helping users select appro...

978 citations

Journal ArticleDOI
Abstract: In the area of volunteered geographical information (VGI), the issue of spatial data quality is a clear challenge. The data that are contributed to VGI projects do not comply with standard spatial data quality assurance procedures, and the contributors operate without central coordination and strict data collection frameworks. However, similar to the area of open source software development, it is suggested that the data hold an intrinsic quality assurance measure through the analysis of the number of contributors who have worked on a given spatial unit. The assumption that as the number of contributors increases so does the quality is known as 'Linus' Law' within the open source community. This paper describes three studies that were carried out to evaluate this hypothesis for VGI using the OpenStreetMap dataset, showing that this rule indeed applies in the case of positional accuracy.

306 citations

Journal ArticleDOI
TL;DR: A new approach to line generalisation which uses the concept of 'effective area' for progressive simplification of a line by point elimination and offers scope for modelling cartographic lines as consisting of features within features so that their geometric manipulation may be modified by application- and/or user-defined rules and weights.
Abstract: This paper presents a new approach to line generalisation which uses the concept of 'effective area' for progressive simplification of a line by point elimination. Two coastlines are used to compare the performance of this, with that of the widely used Douglas-Peucker, algorithm. The results from the area-based algorithm compare favourably with manual generalisation of the same lines. It is capable of achieving both imperceptible minimal simplifications and caricatural generalisations. By careful selection of cut-off values, it is possible to use the same algorithm for scale-dependent and scale-independent generalisations. More importantly, it offers scope for modelling cartographic lines as consisting of features within features so that their geometric manipulation may be modified by application- and/or user-defined rules and weights. The paper examines the merits and limitations of the algorithm and the opportunities it offers for further research and progress in the field of line generalisation.

284 citations

Journal ArticleDOI
Abstract: Land Cover Map 2000 (LCM2000) is a thematic classification of satellite image data covering the entire United Kingdom. The map updates and substantially upgrades the Land Cover Map of Great Britain (LCMGB), made in 1990–92. This paper outlines the character of the map through a description of its specification, production and outputs. The paper is aimed at users of LCM2000 and derived data who need to understand more of the map and its characteristics. The paper also outlines plans for making data available to researchers and applied users.The most important development in LCM2000 was the spectral segmentation of images to generate vector land parcels. Land cover was then identified by the spectral classification of the image data in these parcels. Classification used specially developed procedures which exploited known spatial, spectral and contextual characteristics of land cover. The resultant GIS incorporates, within its vector structure, detailed attribute data which record parcel-based land ...

268 citations

Journal ArticleDOI
TL;DR: The fundamental of cartographic generalisation, the reduction of the amount of information which can be shown on a map in relation to reduction in scale, is examined and the introduction of two constants to represent symbolic exaggeration and symbolic form is introduced.
Abstract: The fundamental of cartographic generalisation, the reduction of the amount of information which can be shown on a map in relation to reduction in scale, is examined. The Principle of Selection was first proposed by Topfer in 1961, and is expressed as an equation relating the number of occurrences of a particular feature at source map scale and at derived map scale. The application of this to small-scale maps involves the introduction of two constants to represent symbolic exaggeration and symbolic form. Examples are given and illustrated. The paper is accompanied by explanatory notes by Dr D. H. Maling, who presented the paper on behalf of the authors at the XX International Geographical Congress London 1964, Section IX, Cartography.

253 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202124
202032
201917
201837
201732
201646