Spatial language incorporates descriptions of locations, routes, and landscapes, and is used
by humans daily. Research has addressed a wide range of aspects of spatial language …

Rapid, reliable, and continuous information is an essential component in disaster monitoring
and management. Remote sensing data could be a solution, but often cannot provide …

OpenStreetMap (OSM) is a collaborative project collecting geographical data of the entire
world. The level of detail of OSM data and its data quality vary much across different regions …

Forest areas, like other ecosystems, provide a range of ecosystem services. The most
common classification of ecosystem services distinguishes them into four categories …

Emergency response after earthquakes, especially rapid access to building damage
information, is of great significance to ensure timely rescue and reduce casualties. However …

OpenStreetMap (OSM) is a dataset in constant change and this dynamic needs to be better
understood. Based on 12-year time series of seven OSM data contribution activities …

Organized mapping activities within OpenStreetMap frequently lead to the production of
massive amounts of data over a short period. In this article we utilize a novel procedure to …

Geographic information is a confluence of knowledge from spatial science, information
technologies, engineering, and mathematics, etc. Effective spatial training can enhance …

Maps, like other types of extensive data collections, are usually created and maintained by a
larger number of individuals. The number of individuals using the map is even larger in most …

Data quality and fitness for purpose can be assessed by data quality measures. Existing
ontologies of data quality dimensions reflect, among others, which aspects of data quality …