Automated processing for map generalization using web services

Neun, Moritz; Burghardt, Dirk; Weibel, Robert

doi:10.1007/s10707-008-0054-3

Cited by 27 publications

(21 citation statements)

References 19 publications

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“…(Srnka, 1968), (Töpfer, 1974), (Lauermann, 1974). Contemporary approach to cartographic generalizations comes from classic work from the times when maps were created predominantly manually, but it is developed especially under the influence of work with digital data and web mapping services , (Neun, 2007), (van Altena, et al, 2013). Most of program systems for work with digital data contain sets of tools for cartographic generalizations, e.g.…”

Section: Cartographic Generalizationmentioning

confidence: 99%

Theoretical Foundations of Study of Cartography

Talhofer

Hošková-Mayerová

2018

Proc. Int. Cartogr. Assoc.

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Cartography and geoinformatics are technical-based fields which deal with modelling and visualization of landscape in the form of a map. The theoretical foundation is necessary to obtain during study of cartography and geoinformatics based mainly on mathematics. For the given subjects, mathematics is necessary for understanding of many procedures that are connected to modelling of the Earth as a celestial body, to ways of its projection into a plane, to methods and procedures of modelling of landscape and phenomena in society and visualization of these models in the form of electronic as well as classic paper maps. Not only general mathematics, but also its extension of differential geometry of curves and surfaces, ways of approximation of lines and surfaces of functional surfaces, mathematical statistics and multi-criterial analyses seem to be suitable and necessary. Underestimation of the significance of mathematical education in cartography and geoinformatics is inappropriate and lowers competence of cartographers and professionals in geographic information science and technology to solve problems. . This contribution underwent single-blind peer review based on submitted abstracts | https://doi.org/10.5194/ica-proc-1-110-2017 | © Authors 2017. CC BY 4.0 License.

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Section: Cartographic Generalizationmentioning

confidence: 99%

Theoretical Foundations of Study of Cartography

Talhofer

Hošková-Mayerová

2018

Proc. Int. Cartogr. Assoc.

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“…The utility of SOC has been recognized in the domains of geographic information science (GIScience) to bridge these domains and CI (Tsou and Buttenfield 2002, Goodchild et al 2007, Yang et al 2007, Neun et al 2009, Wang and Liu 2009. A suite of geospatial Web service standards (e.g., OpenGIS Geospatial Web Service standards from Open Geospatial Consortium; see http://www.opengeospatial.org/standards/) and relevant implementation techniques are available for developing distributed GIS (Tsou and Buttenfield 2002, Peng and Tsou 2003, Shi 2006, Yang et al 2007).…”

Section: Service-oriented Computingmentioning

confidence: 99%

Agent-based modeling within a cyberinfrastructure environment: a service-oriented computing approach

Tang

Wang

Bennett

et al. 2011

International Journal of Geographical Information Science

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Agent-based models (ABM) allow for the bottom-up simulation of dynamics in complex adaptive spatial systems through the explicit representation of pattern-process interactions. This bottom-up simulation, however, has been identified as both data-and computing-intensive. While cyberinfrastrucutre provides such support for intensive computation, the appropriate management and use of cyberinfrastructure (CI)-enabled computing resources for ABM raise a challenging and intriguing issue. To gain insight into this issue, in this article we present a service-oriented simulation framework that supports spatially explicit agent-based modeling within a CI environment. This framework is designed at three levels: intermodel, intrasimulation, and individual. Functionalities at these levels are encapsulated into services, each of which is an assembly of new or existing services. Services at the intermodel and intrasimulation levels are suitable for generic ABM; individual-level services are designed specifically for modeling intelligent agents. The service-oriented simulation framework enables the integration of domain-specific functionalities for ABM and allows access to high-performance and distributed computing resources to perform simulation tasks that are often computationally intensive. We used a case study to investigate the utility of the framework in enabling agent-based modeling within a CI environment. We conducted experiments using supercomputing resources on the TeraGrid -a key element of the US CI. It is indicated that the service-oriented framework facilitates the leverage of CI-enabled resources for computationally intensive agent-based modeling.

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“…This validity criterion allows for deteriorations of the state satisfaction. Indeed, as shown by Ware et al (2003) and Neun et al (2009), it is sometimes necessary to pass trough bad states in order to find very good ones. Moreover, since the constraint satisfaction is an integer (from 1 to 10), the second condition ensures the convergence of the action cycle.…”

Section: If Condition Then Conclusionmentioning

confidence: 99%

“…Others propose to solve it by local, step by step, approaches (e.g. Ruas 1998b, Ware and Jones 1998, Neun et al 2009). There, the problem of automation consists in dynamically choosing the sequence of generalisation operations to apply on the geographic objects in order to find the state that maximises an evaluation function.…”

Section: Introductionmentioning

confidence: 99%

Automatic revision of rules used to guide the generalisation process in systems based on a trial and error strategy

Taillandier

Duchêne

Drogoul

2011

International Journal of Geographical Information Science

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Automating the generalisation process, a major issue for national mapping agencies, is extremely complex. Several works have proposed to deal with this complexity using a trial and error strategy. The performance of systems based on such a strategy is directly dependent on the quality of the control knowledge (i.e. heuristics) used to guide the trials. Unfortunately, most of the time, the definition and updation of knowledge is a fastidious task. In this context, automatic knowledge revision can not only improve the performance of the generalisation, but also allow it to automatically adapt to various usages and evolve when new elements are introduced. In this article, an offline knowledge revision approach is proposed, based on a logging of the system and on the analysis of outcoming logs. This approach is dedicated to the revision of control knowledge expressed by production rules. We have implemented and tested this approach for the automated generalisation of groups of buildings within a generalisation model called AGENT, from initial data that reference a scale of approximately 1:15,000 compared with the target map's scale of 1:50,000. The results show that our approach improves the quality of the control knowledge and thus the performance of the system. Moreover, the approach proposed is generic and can be applied to other systems based on a trial and error strategy, dedicated to generalisation or not.

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Automated processing for map generalization using web services

Cited by 27 publications

References 19 publications

Theoretical Foundations of Study of Cartography

Theoretical Foundations of Study of Cartography

Agent-based modeling within a cyberinfrastructure environment: a service-oriented computing approach

Automatic revision of rules used to guide the generalisation process in systems based on a trial and error strategy

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