Category: Data

12 June 2018

Tempus 2.6 is out

We are still working at improving Tempus, our multimodal route planner. We recently published a new major version, that has been funded by Cerema, DRIEA and IFSTTAR, and we would like to share the recent changes that have been made to the project. Isochrone computation The core engine is now able to compute multimodal isochrone
7 May 2018

Deeposlandia 0.4 has been released!

On a previous article published on this blog, we introduced our work dedicated to convolutional neural network. We are now happy to announce the 0.4 release of this R&D project! What’s new? Until the last released version (0.3.2), neural networks were built with the TensorFlow library. The major modification comes with the transition to the
30 January 2018

Predict bike availability at bike sharing stations

In a previous article, we described the clustering of bike sharing stations in two french cities, i.e. Bordeaux and Lyon. We saw that geospatial clustering is interesting to understand city organization. Results were especially impressive for the Lyon data set. Here we propose to continue the effort about bike sharing system description by attempting to
27 December 2017

OSM data classification: code release

After a set of blog posts published the last summer, we are glad to announce that the dedicated code (version 1.0) has been released on Github. Our OpenStreetMap history data pipeline will let you analyze user contributions through time, following several modalities: evaluate the area evolution in terms of nodes, ways and relations; investigate on
29 November 2017

Cluster bike sharing stations around french cities

Oslandia team is involved in a constant effort in geospatial data gathering and analysis. By taking advantage of the recent trend in public open data releasing, and after reading an inspiring work done for Dublin data, we decided to evaluate the situation in our own living places. Here comes the open data portals for both
25 October 2017

Detecting objects starting from street-scene images

Exploiting artificial intelligence within the geospatial data context tends to be easier and easier thanks to emerging deep learning techniques. Neural networks take indeed various kinds of designs, and cope with a wide range of applications. At Oslandia we bet that these techniques will have an added-value in our daily activity, as data is of
14 August 2017

OSM data quality assessment: producing map to illustrate data quality

At Oslandia, we like working with Open Source tool projects and handling Open (geospatial) Data. In this article series, we will play with the OpenStreetMap (OSM) map and subsequent data. Here comes the eighth article of this series, dedicated to the OSM data quality evaluation, through production of new maps. 1 Description of OSM element
6 August 2017

OSM user classification: let’s use machine learning!

At Oslandia, we like working with Open Source tool projects and handling Open (geospatial) Data. In this article series, we will play with the OpenStreetMap (OSM) map and subsequent data. Here comes the seventh article of this series, dedicated to user classification using the power of machine learning algorithms. 1 Develop a Principle Component Analysis
31 July 2017

OSM user classification: the unavoidable metadata normalization

At Oslandia, we like working with Open Source tool projects and handling Open (geospatial) Data. In this article series, we will play with the OpenStreetMap (OSM) map and subsequent data. Here comes the sixth article of this series, dedicated to user metadata normalization. 1 Let’s remind the user metadata After the previous blog post, we
24 July 2017

OSM metadata description: the data behind the data

At Oslandia, we like working with Open Source tool projects and handling Open (geospatial) Data. In this article series, we will play with the OpenStreetMap (OSM) map and subsequent data. Here comes the fifth article of this series, dedicated to the extraction of OSM metadata starting from the OSM history data. 1 Extract OSM data