James Fee GIS Blog
This should be the mantra of any open data website:
Open data means being open to the opportunity that it has a derivative and that use is valid
— Michael Byrne (@byrne_tweets) September 16, 2014
So it looks like Nokia is going to bring back their mapping application to iPhone and Android.
The Finnish technology supplier will soon release free-of-charge map apps for mobile devices running Google’s Android and Apple’s iOS platforms, Nokia executive Sean Fernback said during an interview.
Without a need to prop up their failing mobile hardware business, Nokia seems to realize their best asset is mapping. Probably time to rename the company Navteq1 and get their map on all platforms. There is no shortage of free mapping applications on both platforms (including Apple Maps and Google Maps) so there will have to be something to get people to not use the default mapping application. Curious to see what this is for Nokia. Plus we’ll get to see if they use that crazy HERE branding.
Everyone calls them that anyway↩
Update: Mexican League and Eastern League are done. That means we’ve got all the Majors, Triple-A and a third of the Double-A stadiums mapped.
I’ve been working on getting all the MLB and AAA baseball ballparks in GeoJSON on GitHub. MLB1 parks are done and I think I’ve got all the AAA parks thanks to Wikipedia but I’m still missing most of the Mexican League which is a AAA league. I’m also hoping to complete the AA and A ballparks as well. If you can help, just fork the repo and submit a pull request with the new ballpark.
Ignoring the fact I had the Nationals still playing at RFK↩
My bandmate, Sheldon McGee, and I presented at AGIC 2014 on how to serve up vector data in Google Maps without using some crazy GIS Server type software. Just a little node.js and some PostGIS is all one needs. You can view the presentation by clicking this link and view the code on Github which is a fork of Mano Marks’ fork of Bill Dollins’ original code.
Some of our goals with this project are to extend the Node.js to work with SQL Server and possibly Oracle1. Possibly even write spatial objects to PostGIS from the app2. We used Google Maps for this demo but I think the sweet spot is TileMill generated background tiles with Leaflet.js.
Back at it with the hangouts. Steve Coast joins me to talk about the first 10 years of OpenStreetMap and what the future might bring.
Map data are overlaid on satellite imagery. A road segment within the map data is identified, and the satellite imagery indicates that the road segment is at a different geographic position than a geographic position indicated by the map data. The endpoints of the road segment in the map data are aligned with the corresponding positions of the endpoints in the satellite imagery. A road template is applied at an endpoint of the road segment in the satellite imagery, and the angle of the road template that matches the angle of the road segment indicated by the satellite imagery is determined by optimizing a cost function. The road template is iteratively shifted along the road segment in the satellite imagery. The geographic position of the road segment within the map data is updated responsive to the positions and angles of the road template.
Now before you get your pitchforks lets look at exactly what Google is proposing here. This is a computer automated process and not one that most GIS people have ever done. Read the claims section to learn more about what exactly this process is. It is interesting that they use TIGER as an example of a dataset that could be improved.
They could simply donate their map updates to OSM. Right my bad, TIGER is a great example of a dataset that doesn’t line up with satellite imagery.