The estimation of the value of georeferenced spaces is challenging because the value of a space depends on many factors such as recreation potential, sociability, cultural points of interest, etc. To account for these personal values, interviews and surveys can be conducted but this is costly and elaborate, and this requires a user action. Recent approaches use social media to attribute positive or negative associations of users to a georeferenced space by analysing the semantic linkages. This approach is promising but at the same time prone to biases due to a user selection bias and the interpretation of the semantics. In this paper, an alternative method based on the systematic analysis of georeferenced paths of people is proposed, which ...
With a growing emphasis on the societal benefits gained through recreation outdoors, a method is nee...
Data reflecting movements of people, such as GPS or GSM tracks, can be a source of information about...
We propose a method to predict a user's favourite locations in a city, based on his Flickr geotags i...
When observing the temporal trajectory of an individual, the probability of visiting a new place dec...
International audienceModelling cultural ecosystem services is an enduring challenge, raising issues...
Modelling cultural ecosystem services is an enduring challenge, raising issues about the integration...
The concepts of location and community are rapidly becoming key points in the design of new communic...
Recent advances in navigation have generated an extensive amount of georeferenced trajectories which...
Due to the widespread of mobile devices in recent years, records of the locations visited by users a...
The aim of the study is to investigate whether individuals re-port the places they are attached to i...
Geo-location data from social media offers us information, in new ways, to understand people's attit...
Routing and navigation services for leisure activities are conditioned by special needs and trade-of...
This thesis carried out two major investigations on how the geographical information generated by us...
Current trends in transportation and urban planning are moving in the direction of integrated land ...
With a growing emphasis on the societal benefits gained through recreation outdoors, a method is nee...
With a growing emphasis on the societal benefits gained through recreation outdoors, a method is nee...
Data reflecting movements of people, such as GPS or GSM tracks, can be a source of information about...
We propose a method to predict a user's favourite locations in a city, based on his Flickr geotags i...
When observing the temporal trajectory of an individual, the probability of visiting a new place dec...
International audienceModelling cultural ecosystem services is an enduring challenge, raising issues...
Modelling cultural ecosystem services is an enduring challenge, raising issues about the integration...
The concepts of location and community are rapidly becoming key points in the design of new communic...
Recent advances in navigation have generated an extensive amount of georeferenced trajectories which...
Due to the widespread of mobile devices in recent years, records of the locations visited by users a...
The aim of the study is to investigate whether individuals re-port the places they are attached to i...
Geo-location data from social media offers us information, in new ways, to understand people's attit...
Routing and navigation services for leisure activities are conditioned by special needs and trade-of...
This thesis carried out two major investigations on how the geographical information generated by us...
Current trends in transportation and urban planning are moving in the direction of integrated land ...
With a growing emphasis on the societal benefits gained through recreation outdoors, a method is nee...
With a growing emphasis on the societal benefits gained through recreation outdoors, a method is nee...
Data reflecting movements of people, such as GPS or GSM tracks, can be a source of information about...
We propose a method to predict a user's favourite locations in a city, based on his Flickr geotags i...