Data quality of the river network in Switzerland - Versionsgeschichte

Stefan: /* Further reading */

2025-03-30T18:40:26Z

Stefan: /* Further reading */

2025-03-30T18:40:16Z

Stefan am 30. März 2025 um 18:40 Uhr

2025-03-30T18:40:06Z

← Nächstältere Version		Version vom 30. März 2025, 18:40 Uhr
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	The logical consistency of river networks, and thereby the trustworthiness of OpenStreetMap, is therefore the focus of this research project.		The logical consistency of river networks, and thereby the trustworthiness of OpenStreetMap, is therefore the focus of this research project.

			=== Further reading ===

			See also [[Water_in_OSM]]

			[[Kategorie:OpenStreetMap]] [[Kategorie:Overpass]]

Stefan: /* What is this research about? */

2025-01-27T10:13:09Z

What is this research about?

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	Finally, the trustworthiness of the data comes into play, whereby a distinction must be made between the trustworthiness of the metadata (including the growing amount of metadata portals) and the trustworthiness of the actual geodata.		Finally, the trustworthiness of the data comes into play, whereby a distinction must be made between the trustworthiness of the metadata (including the growing amount of metadata portals) and the trustworthiness of the actual geodata.

	OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers ~~violate~~ privacy. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is ~~sometimes~~ better than official data. This unique selling point of OpenStreetMap is ~~often~~ forgotten because government data is typically labelled as "official data".		OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers don't really comply with privacy standards and regulations. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is often better than official data. This unique selling point of OpenStreetMap is sometimes forgotten because government data is typically labelled as "official data".

	[[Datei:09_Poster_OSM_POI_Completeness_v06-1.jpg\|100px\|\|right\|Poster OSM POI Completeness (2024)]]		[[Datei:09_Poster_OSM_POI_Completeness_v06-1.jpg\|100px\|\|right\|Poster OSM POI Completeness (2024)]]

Stefan: /* What is this research about? */

2025-01-27T09:51:07Z

What is this research about?

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	The five classic aspects of geodata quality according to ISO 19157 (formerly ISO 19113) are: completeness, positional accuracy, thematic accuracy, temporal quality and logical consistency. In addition, there is usability (fitness-for-use), i.e. the suitability of a data set for a specific use case.		The five classic aspects of geodata quality according to ISO 19157 (formerly ISO 19113) are: completeness, positional accuracy, thematic accuracy, temporal quality and logical consistency. In addition, there is usability (fitness-for-use), i.e. the suitability of a data set for a specific use case.

	Finally, the trustworthiness of the data comes into play, whereby a distinction must be made between the trustworthiness of the metadata (including the metadata portals) and the trustworthiness of the actual geodata.		Finally, the trustworthiness of the data comes into play, whereby a distinction must be made between the trustworthiness of the metadata (including the growing amount of metadata portals) and the trustworthiness of the actual geodata.

	OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers violate privacy. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is sometimes better than official data. This unique selling point of OpenStreetMap is often forgotten because government data is typically labelled as "official data".		OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers violate privacy. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is sometimes better than official data. This unique selling point of OpenStreetMap is often forgotten because government data is typically labelled as "official data".

Stefan am 27. Januar 2025 um 09:50 Uhr

2025-01-27T09:50:24Z

← Nächstältere Version		Version vom 27. Januar 2025, 09:50 Uhr
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	[[Bild:WaterWayMap Switzerland Screenshot.jpg\|500px\|\|right\|link=https://waterwaymap.org/#map=7.74/46.645/8.124]]		[[Bild:WaterWayMap Switzerland Screenshot.jpg\|500px\|\|right\|link=https://waterwaymap.org/#map=7.74/46.645/8.124]]
	Water is essential to life ~~for us,~~ and our ecosystems and water bodies can be sensitive to drought. Our landscape is criss-crossed by rivers that form river systems and water networks. This is a small research project (2025) by Prof. Stefan Keller, who ~~uses~~ WaterWayMap to study the water network of Switzerland and the data quality of OpenStreetMap.		Water is essential to life and our ecosystems and water bodies can be sensitive to drought. Our landscape is criss-crossed by rivers that form river systems and water networks. This is a small research project (2025) by Prof. Stefan Keller, who is using WaterWayMap to study the water network of Switzerland and the data quality - in particular the logical consistency and trustworthiness - of OpenStreetMap.

	=== What is WaterWayMap? ===		=== What is WaterWayMap? ===
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	=== What is this research about? ===		=== What is this research about? ===

	~~[[Datei:09_Poster_OSM_POI_Completeness_v06-1.jpg\|100px\|\|right\|Poster OSM POI Completeness (2024)]]~~

	The five classic aspects of geodata quality according to ISO 19157 (formerly ISO 19113) are: completeness, positional accuracy, thematic accuracy, temporal quality and logical consistency. In addition, there is usability (fitness-for-use), i.e. the suitability of a data set for a specific use case.		The five classic aspects of geodata quality according to ISO 19157 (formerly ISO 19113) are: completeness, positional accuracy, thematic accuracy, temporal quality and logical consistency. In addition, there is usability (fitness-for-use), i.e. the suitability of a data set for a specific use case.
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	OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers violate privacy. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is sometimes better than official data. This unique selling point of OpenStreetMap is often forgotten because government data is typically labelled as "official data".		OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers violate privacy. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is sometimes better than official data. This unique selling point of OpenStreetMap is often forgotten because government data is typically labelled as "official data".

			[[Datei:09_Poster_OSM_POI_Completeness_v06-1.jpg\|100px\|\|right\|Poster OSM POI Completeness (2024)]]

	What is often still unclear and in need of improvement in OpenStreetMap is the quantification of completeness. OSM Completeness is another Geometa Lab research project: see figure on the right.		What is often still unclear and in need of improvement in OpenStreetMap is the quantification of completeness. OSM Completeness is another Geometa Lab research project: see figure on the right.
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	What is also sometimes questioned is the logical consistency, besides what OpenStreetMap has proven in providing data for navigation, especially for human powered mobility (see e.g. profiles for "Bike (City)" or "Foot (Vampire)" as proof of concept on [https://routing.osm.ch/ Routing OSM.ch]). As mentioned above, river networks are particularly prone to topological gaps and the data must be more than 99.999% consistent. If this is achieved, it will be another positive contribution to the trustworthiness of OpenStreetMap.		What is also sometimes questioned is the logical consistency, besides what OpenStreetMap has proven in providing data for navigation, especially for human powered mobility (see e.g. profiles for "Bike (City)" or "Foot (Vampire)" as proof of concept on [https://routing.osm.ch/ Routing OSM.ch]). As mentioned above, river networks are particularly prone to topological gaps and the data must be more than 99.999% consistent. If this is achieved, it will be another positive contribution to the trustworthiness of OpenStreetMap.

	The logical consistency of river networks is therefore the focus of this research project.		The logical consistency of river networks, and thereby the trustworthiness of OpenStreetMap, is therefore the focus of this research project.

Stefan: /* What is this research about? */

2025-01-27T09:46:34Z

What is this research about?

← Nächstältere Version		Version vom 27. Januar 2025, 09:46 Uhr
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	What is often still unclear and in need of improvement in OpenStreetMap is the quantification of completeness. OSM Completeness is another Geometa Lab research project: see figure on the right.		What is often still unclear and in need of improvement in OpenStreetMap is the quantification of completeness. OSM Completeness is another Geometa Lab research project: see figure on the right.

	What is sometimes questioned~~, however,~~ is the logical consistency, besides what OpenStreetMap has proven in providing ~~routing networks~~ for navigation (see e.g. ~~the~~ proof of ~~concepts~~ on [https://routing.osm.ch/ Routing OSM.ch]). ~~The logical consistency of river networks is therefore the focus of this research project.~~ As mentioned above, river networks are particularly prone to topological gaps and the data must be more than 99.999% ~~correct~~. If this is achieved, it will be another positive contribution to the trustworthiness of OpenStreetMap.		What is also sometimes questioned is the logical consistency, besides what OpenStreetMap has proven in providing data for navigation, especially for human powered mobility (see e.g. profiles for "Bike (City)" or "Foot (Vampire)" as proof of concept on [https://routing.osm.ch/ Routing OSM.ch]). As mentioned above, river networks are particularly prone to topological gaps and the data must be more than 99.999% consistent. If this is achieved, it will be another positive contribution to the trustworthiness of OpenStreetMap.

			The logical consistency of river networks is therefore the focus of this research project.

Stefan: /* What is this research about? */

2025-01-27T09:41:02Z

What is this research about?

← Nächstältere Version		Version vom 27. Januar 2025, 09:41 Uhr
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	Finally, the trustworthiness of the data comes into play, whereby a distinction must be made between the trustworthiness of the metadata (including the metadata portals) and the trustworthiness of the actual geodata.		Finally, the trustworthiness of the data comes into play, whereby a distinction must be made between the trustworthiness of the metadata (including the metadata portals) and the trustworthiness of the actual geodata.

	OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers violate privacy. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is sometimes better than official data. This unique selling point of OpenStreetMap is often forgotten because government data is ~~often~~ labelled as "official data".		OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers violate privacy. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is sometimes better than official data. This unique selling point of OpenStreetMap is often forgotten because government data is typically labelled as "official data".

	What is often still unclear and in need of improvement in OpenStreetMap is the quantification of completeness. OSM Completeness is another Geometa Lab research project: see figure on the right.		What is often still unclear and in need of improvement in OpenStreetMap is the quantification of completeness. OSM Completeness is another Geometa Lab research project: see figure on the right.

	What is sometimes questioned, however, is the logical consistency, besides what OpenStreetMap has proven in providing routing networks for navigation (see e.g. the proof of concepts on [https://routing.osm.ch/ Routing OSM.ch]). The logical consistency of river networks is therefore the focus of this research project. As mentioned above, river networks are particularly prone to topological gaps and the data must be more than 99.999% correct. If this is achieved, it will be another positive contribution to the trustworthiness of OpenStreetMap.		What is sometimes questioned, however, is the logical consistency, besides what OpenStreetMap has proven in providing routing networks for navigation (see e.g. the proof of concepts on [https://routing.osm.ch/ Routing OSM.ch]). The logical consistency of river networks is therefore the focus of this research project. As mentioned above, river networks are particularly prone to topological gaps and the data must be more than 99.999% correct. If this is achieved, it will be another positive contribution to the trustworthiness of OpenStreetMap.

Stefan: /* What is this research about? */

2025-01-27T09:40:19Z

What is this research about?

← Nächstältere Version		Version vom 27. Januar 2025, 09:40 Uhr
Zeile 26:		Zeile 26:
	OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers violate privacy. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is sometimes better than official data. This unique selling point of OpenStreetMap is often forgotten because government data is often labelled as "official data".		OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers violate privacy. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is sometimes better than official data. This unique selling point of OpenStreetMap is often forgotten because government data is often labelled as "official data".

	What is often still unclear and in need of improvement in OpenStreetMap is the quantification of completeness. OSM Completeness is another Geometa Lab research project: see ~~this one~~ on the right.		What is often still unclear and in need of improvement in OpenStreetMap is the quantification of completeness. OSM Completeness is another Geometa Lab research project: see figure on the right.

	What is sometimes questioned, however, is the logical consistency, besides what OpenStreetMap has proven in providing routing networks for navigation (see e.g. the proof of concepts on [https://routing.osm.ch/ Routing OSM.ch]). The logical consistency of river networks is therefore the focus of this research project. As mentioned above, river networks are particularly prone to topological gaps and the data must be more than 99.999% correct. If this is achieved, it will be another positive contribution to the trustworthiness of OpenStreetMap.		What is sometimes questioned, however, is the logical consistency, besides what OpenStreetMap has proven in providing routing networks for navigation (see e.g. the proof of concepts on [https://routing.osm.ch/ Routing OSM.ch]). The logical consistency of river networks is therefore the focus of this research project. As mentioned above, river networks are particularly prone to topological gaps and the data must be more than 99.999% correct. If this is achieved, it will be another positive contribution to the trustworthiness of OpenStreetMap.

Stefan: /* What is this research about? */

2025-01-27T09:39:24Z

What is this research about?

← Nächstältere Version		Version vom 27. Januar 2025, 09:39 Uhr
Zeile 24:		Zeile 24:
	Finally, the trustworthiness of the data comes into play, whereby a distinction must be made between the trustworthiness of the metadata (including the metadata portals) and the trustworthiness of the actual geodata.		Finally, the trustworthiness of the data comes into play, whereby a distinction must be made between the trustworthiness of the metadata (including the metadata portals) and the trustworthiness of the actual geodata.

	OpenStreetMap has already proven its 'fitness for ~~purpose'~~ on ~~several~~ occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers violate ~~data~~ privacy. For ~~common~~ topics, the timeliness of OpenStreetMap is sometimes better than official data.		OpenStreetMap has already proven its fitness-for-use on a number of occasions. This is particularly true for topics such as POIs, where no official data exists or where commercial providers violate privacy. For topics that exist in both government data and OpenStreetMap, the timeliness of OpenStreetMap is sometimes better than official data. This unique selling point of OpenStreetMap is often forgotten because government data is often labelled as "official data".

	What is often still unclear and in need of improvement in OpenStreetMap is the quantification of completeness. OSM Completeness is another Geometa Lab research project: see this one on the right.		What is often still unclear and in need of improvement in OpenStreetMap is the quantification of completeness. OSM Completeness is another Geometa Lab research project: see this one on the right.

	What is sometimes questioned, however, is the logical consistency, besides what OpenStreetMap has proven in providing routing networks for navigation (see e.g. the proof of concepts on [https://routing.osm.ch/ Routing OSM.ch]). The logical consistency of river networks is therefore the focus of this research project. As mentioned above, river networks are particularly prone to topological gaps and the data must be more than 99.999% correct. If this is achieved, it will be another positive contribution to the trustworthiness of OpenStreetMap.		What is sometimes questioned, however, is the logical consistency, besides what OpenStreetMap has proven in providing routing networks for navigation (see e.g. the proof of concepts on [https://routing.osm.ch/ Routing OSM.ch]). The logical consistency of river networks is therefore the focus of this research project. As mentioned above, river networks are particularly prone to topological gaps and the data must be more than 99.999% correct. If this is achieved, it will be another positive contribution to the trustworthiness of OpenStreetMap.

← Nächstältere Version		Version vom 30. März 2025, 18:40 Uhr
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	=== Further reading ===		=== Further reading ===

	See also [[Water in OSM]]		See also [[Water in OSM]].

	[[Kategorie:OpenStreetMap]] [[Kategorie:Overpass]]		[[Kategorie:OpenStreetMap]] [[Kategorie:Overpass]]