Evaluation in the Map Generalisation Process

Mackaness, William; Ruas, Anne

doi:10.1016/b978-008045374-3/50007-7

Cited by 46 publications

(53 citation statements)

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“…These two generalization operations modify the conceptual nature of representations and must be guided by semantics, not geometry [11] [2] [16] [9].…”

Section: Discussionmentioning

confidence: 99%

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Ontology-Driven Generalization of Cartographic Representations by Aggregation and Dimensional Collapse

Wolf

2009

Lecture Notes in Computer Science

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Abstract. Automatic generalization of cartographic features has been recognized as a goal of Geographic Information Science (GIScience). Many successful algorithms have been introduced for generalization tasks such as point reduction and smoothing of linear features. Such algorithms operate well as a function of change in map scale or resolution. Other generalization tasks have proved considerably more difficult. Two of these operations, aggregation and dimensional collapse, are trivial to implement -replacing a set of points with an area feature or replacing an area feature with a single point -but have proven challenging to make operational. The decision to aggregate or collapse features is as much dependent on the context of the features as they are change in map scale. This dissertation proposes to show how ontologies can be used to inform automated generalization in these operations.

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“…These two generalization operations modify the conceptual nature of representations and must be guided by semantics, not geometry [11] [2] [16] [9].…”

Section: Discussionmentioning

confidence: 99%

“…Mackaness [9] states "ultimately the results of generalisation do manifest themselves through the manipulation of geometric primitives. But current thinking argues that the reasoning behind those manipulations needs to be based on the analysis of the context."…”

Section: Generalization Of Cartographic Representationsmentioning

confidence: 99%

Ontology-Driven Generalization of Cartographic Representations by Aggregation and Dimensional Collapse

Wolf

2009

Lecture Notes in Computer Science

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“…Threshold values for average distribution angle change are dependent on the number of buildings in the zone. More detailed examination of the evaluation of map generalisation can be found in Bard (2004) and Mackaness and Ruas (2007).…”

Section: Quantitative Analysis Of Spatial Constraints and Qualitativementioning

confidence: 99%

A zone-based iterative building displacement method through the collective use of Voronoi Tessellation, spatial analysis and multicriteria decision making

Başaraner

2011

Bol. Ciênc. Geod.

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An iterative displacement method working based on generalisation zones is proposed as a part of contextual building generalisation in topographic map production at medium scales. Displacement is very complicated operation since a compromise ought to be found between several conflicting criteria. Displacement requirement mainly arises from the violation of minimum distances imposed by graphic limits after the enlargement of map objects for target scale. It is also important to maintain positional accuracy within scale limits and to propagate the changes to the related neighbouring objects by preserving spatial configurations as far as possible. In the proposed method, first it is decided where and when to initiate building displacement based on spatial analysis in the generalisation zones created for building clusters in the blocks. Secondly, relevant criteria are defined to control the displacement. Finally displacement candidate and vector are decided by means of Voronoi tessellation, spatial analysis techniques and combined multiple criteria (i.e. displacement controls) in each iteration. The evaluation of the findings demonstrates that this method is largely effective in zone-based displacement of buildings.A zone-based iterative building displacement method through... RESUMO Neste artigo propõe-se um metodo de deslocamento iterativo baseado na generalização de zonas, como parte da generalização contextual de edificações em mapas topograficos de média escala. O deslocamento é uma operação complicada considerando que deve ser encontrada uma relação entre vários critérios conflitantes. A necessidade para o deslocamento origina-se da incapacidade de manter as distâncias mínimas entre os objetos impostas pelos limites gráficos após o aumento dos objetos do mapa para a escala final. Também é importante manter a acurácia posicional para a esacala e propagar as mudanças aos vizinhos dos objetos preservando ao máximo sua configuração espacial. No método proposto, primieramente é decidido onde e quando iniciar o deslocamento dos edificios com base na análise espacial nas zonas generalizadas criadas pelos agrupamentos de edificações nas quadras. Em seguida, um critério relevante consiste em controlar o deslocamento. Finalmente, os candidatos ao delocamento e os vetores são analisados utilizando Voronoi Tesselation, análise espacial e múltiplos critérios combinados em cada iteração. A avaliação demonstrou que este método é efetivo para deslocamento de edificações baseado em zonas. Bol

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“…Quality measures in the context of automated generalization can fulfill the three tasks formulated by Mackaness and Ruas [31]: evaluation for tuning, evaluation for controlling the generalization process during generalization and evaluation for assessing the quality of generalized data after generalization. We used them for all of these purposes.…”

Section: Definition Of a Geometric Quality Measurementioning

confidence: 99%

A Supervised Approach to Delineate Built-Up Areas for Monitoring and Analysis of Settlements

Harig

Burghardt

Hecht

2016

IJGI

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Abstract:Monitoring urban growth and measuring urban sprawl is essential for improving urban planning and development. In this paper, we introduce a supervised approach for the delineation of urban areas using commonly available topographic data and commercial GIS software. The method uses a supervised parameter optimization approach along with buffer-based quality measuring method. The approach was developed, tested and evaluated in terms of possible usage in monitoring built-up areas in spatial science at a very fine-grained level. Results show that built-up area boundaries can be delineated automatically with higher quality compared to the settlement boundaries actually used. The approach has been applied to 166 settlement bodies in Germany. The study shows a very efficient way of extracting settlement boundaries from topographic data and maps and contributes to the quantification and monitoring of urban sprawl. Moreover, the findings from this study can potentially guide policy makers and urban planners from other countries.

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Evaluation in the Map Generalisation Process

Cited by 46 publications

References 0 publications

Ontology-Driven Generalization of Cartographic Representations by Aggregation and Dimensional Collapse

Ontology-Driven Generalization of Cartographic Representations by Aggregation and Dimensional Collapse

A zone-based iterative building displacement method through the collective use of Voronoi Tessellation, spatial analysis and multicriteria decision making

A Supervised Approach to Delineate Built-Up Areas for Monitoring and Analysis of Settlements

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