Il post è di dopo natale e quindi forse è già passato in lista
http://www.cedricmoullet.com/news/whyopenstreetmapfailstoreplaceofficialbasemapsinasustainableway
Why OpenStreetMap fails to replace official or proprietary base maps in
a sustainable way ?
Because it’s not possible to make a map for all zoom levels
Because the finances are not secured on long term
Because the data model is not defined
Because the precision is heterogeneous
Because the reliability is heterogeneous
Because the completeness is heterogeneous
Because it requires attribution
Because the data are difficult to extract
Because noone takes the responsibility about the data
Because it lacks a QA step by an accountable body
Because it is not multilingual
Because first acquisition is fun and data update is boring
Because Google Map Maker Workflow is for the broad public and
OpenStreetMap workflow for the map enthusiasts
solo oggi però mi sono accorto di un secondo e più dettagliato
http://www.cedricmoullet.com/news/whyopenstreetmapfailstoreplaceofficialorproprietarybasemapsinasustainablewayclarifications
[... taglio alcuni pezzi ...]
- Point #1: Cartographers have demonstrated that automatic
generalization is, at least for now, not possible. If we take the
example of the UK Ordnance Survey, Vector Maps are delivered with two
scale ranges: local and district. Google Maps use various sources of
data depending of the scales: GeoBasis DE/DKG, TeleAtlas, Europa
Technologies or their own data.
- Point #3: OSM has always a duality between cartography and GIS. The
main goal of OSM is to make a map, but GIS data are used to create this
map. From a GIS perspective, the fact that "You can assign tags ("keys"
and "values") to any point (node), street (way), area (closed ways) or
relations (containers of the previous ones). see" creates difficulty
when you want to use the data.
- I'm really suprised that points #4, #5 and #6 can be questionned.
These are simply facts. A standard GPS is able to measure with a
precision of 2 to 5 meters. The digititalization over an orthophoto with
a 20 cm resolution is able to measure with a precision of 20 to 50 cm. A
professional GPS is able to measure with a precision of 2 to 5 cm.
- Point #8: this is due to two reasons: all is based on three primitives
and tags can be associated with everything.
- Point #11: all is in english in OSM. A translation mechanismus should
exist is order to be able to obtain localized data.
- Point #13: this is the KISS principle. Currently, it's not very simple
(or user friendly) to acquire data for OSM.
.... cosa dicono gli iscritti di questa ML?
Ciao
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