Scipediacontent: Scipediacontent moved page Draft Content 396545339 to Touya Reimer 2015a

2021-01-25T11:20:54Z

Scipediacontent moved page Draft Content 396545339 to Touya Reimer 2015a

Scipediacontent: Created page with " == Abstract == International audience; Traditionally, national mapping agencies produced datasets and map products for a low number of specified and internally consistent sc..."

2021-01-25T11:20:52Z

Created page with " == Abstract == International audience; Traditionally, national mapping agencies produced datasets and map products for a low number of specified and internally consistent sc..."

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== Abstract ==

International audience; Traditionally, national mapping agencies produced datasets and map products for a low number of specified and internally consistent scales, i.e. at a common level of detail (LoD). With the advent of projects like OpenStreetMap, data users are increasingly confronted with the task of dealing with heterogeneously detailed and scaled geodata. Knowing the scale of geodata is very important for mapping processes such as for generalization of label placement or land-cover studies for instance. In the following chapter, we review and compare two concurrent approaches at automatically assigning scale to OSM objects. The first approach is based on a multi-criteria decision making model, with a rationalist approach for defining and parameterizing the respective criteria, yielding five broad LoD classes. The second approach attempts to identify a single metric from an analysis process, which is then used to interpolate a scale equivalence. Both approaches are combined and tested against well-known Corine data, resulting in an improvement of the scale inference process. The chapter closes with a presentation of the most pressing open problem

== Original document ==

The different versions of the original document can be found in:

* [https://hal.archives-ouvertes.fr/hal-02274434/file/Touya_Reimer_15_postprint.pdf https://hal.archives-ouvertes.fr/hal-02274434/file/Touya_Reimer_15_postprint.pdf]

* [http://link.springer.com/content/pdf/10.1007/978-3-319-14280-7_5 http://link.springer.com/content/pdf/10.1007/978-3-319-14280-7_5],
: [http://dx.doi.org/10.1007/978-3-319-14280-7_5 http://dx.doi.org/10.1007/978-3-319-14280-7_5]

* [https://hal.archives-ouvertes.fr/hal-02274434 https://hal.archives-ouvertes.fr/hal-02274434],
: [https://hal.archives-ouvertes.fr/hal-02274434/document https://hal.archives-ouvertes.fr/hal-02274434/document],
: [https://hal.archives-ouvertes.fr/hal-02274434/file/Touya_Reimer_15_postprint.pdf https://hal.archives-ouvertes.fr/hal-02274434/file/Touya_Reimer_15_postprint.pdf]

* [https://link.springer.com/chapter/10.1007/978-3-319-14280-7_5 https://link.springer.com/chapter/10.1007/978-3-319-14280-7_5],
: [https://www.researchgate.net/profile/Guillaume_Touya/publication/281856858_Inferring_the_Scale_of_OpenStreetMap_Features/links/55fbc7e408ae07629e07c23f.pdf https://www.researchgate.net/profile/Guillaume_Touya/publication/281856858_Inferring_the_Scale_of_OpenStreetMap_Features/links/55fbc7e408ae07629e07c23f.pdf],
: [https://dblp.uni-trier.de/db/series/lngc/osm2015.html#TouyaR15 https://dblp.uni-trier.de/db/series/lngc/osm2015.html#TouyaR15],
: [https://doi.org/10.1007/978-3-319-14280-7_5 https://doi.org/10.1007/978-3-319-14280-7_5],
: [https://link.springer.com/chapter/10.1007/978-3-319-14280-7_5/fulltext.html https://link.springer.com/chapter/10.1007/978-3-319-14280-7_5/fulltext.html],
: [https://rd.springer.com/chapter/10.1007/978-3-319-14280-7_5 https://rd.springer.com/chapter/10.1007/978-3-319-14280-7_5],
: [https://academic.microsoft.com/#/detail/281123844 https://academic.microsoft.com/#/detail/281123844]

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Touya Reimer 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 396545339 to Touya Reimer 2015a

Scipediacontent: Created page with " == Abstract == International audience; Traditionally, national mapping agencies produced datasets and map products for a low number of specified and internally consistent sc..."