There are a lot of resources available. The tool you use in many ways
doesn't matter too much when you are explaining. ARCgis format can be
converted to .OSM format. All the GIS tools use the same basic idea of
nodes and ways. Some use layers, OSM just bungs it all in together.
There are
I repeat myself: less buzzword-compliance, please. More embracing of
tried-and-true OSM tenets and culture, like front-loaded planning, ongoing,
wide-area project management on something with nationwide scope as this, wiki
writing/updating both intent and ongoing status, making available
Fair enough. It’s jargon from the “innovation, creativity and entreprenship”
focus in many education sectors these days. Eduspeak, agreed. What I meant to
say is that the workflow and the technology to support the teaching and
learning environment for future “citizen scientists” needs to be
I think we need to identify the possible problem areas and those things
that would be useful to the students. Not all students will have the same
needs.
The first is we really want to avoid students tracing building outlines in
iD. Experience has shown they aren't very good at it. JOSM and the
On Jan 30, 2018, at 7:49 AM, Jonathan Brown wrote:
> I don’t mind reviewing the OSM education wiki for lessons learned and
> “promising practices” and seeing how it might inform the design of a mapathon
> event aligned to the K-12 curricula and postsecondary capstone project
Bien reçu
Je t’informerai lorsque nous aurons des données issues de la pré-production.
Le processus que nous sommes à mettre en place utilise directement le nuage de
point.
L’identification individuelle des bâtiments est l’un des deux principaux
problèmes que nous rencontrons :
- La trop grande
I don’t mind reviewing the OSM education wiki for lessons learned and
“promising practices” and seeing how it might inform the design of a mapathon
event aligned to the K-12 curricula and postsecondary capstone project model.
It will be messy, but that’s the nature of the beast. To use the
Pierre,
Je suis aussi intéressé à collaborer à tester de telles données Les milieux
urbains denses devraient poser un problème particulier pour l'identification
des immeubles individuels. À voir comment les modèles de classification peuvent
performer en utilisant les données d'élévation.
n is working on a methodology to extract building footprints,
> > including topographic elevation and height attributes, from LiDAR *
> >
> > *Traditionally OSM has not been happy with this sort of thing. The
> > accuracy can be poor.*
> >
> > *We probably need to thin
I think when you have something available we should be able to find
resources to double check the quality and also to work out a process to
import them. The latter will be interesting both from the technical point
of view and the acceptance within the OSM community.
My concern on the Canadian
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