supported by the European Research Council(ERC)under the European Union’s Horizon 2020 research and innovation programme(grant agreement no.803498(QuAnGIS)).
Question Answering(QA),the process of computing valid answers to questions formulated in natural language,has recently gained attention in both industry and academia.Translating this idea to the realm of geographic in...
It is possible to obtain vast amounts of spatiotemporal data related to human activities to support the study of human behavior and social evolution.In this context,geography,with the human-nature relationship as its ...
Ensuring healthy lives and promoting well-being for all ages is the 3rd Sustainable Development Goal(SDG).Inequality in access to health care remains one of the primary challenges in achieving the goal.With the ever-i...
This research was partially supported by the National Science Foundation through the award SMA-1416509.
Digital earth science data originated from sensors aboard satellites and platforms such as airplane,UAV,and mobile systems are increasingly available with high spectral,spatial,vertical,and temporal resolution data.Wh...
Anselin’s research was supported in part by award OCI-1047916,SI2-SSI from the US National Science Foundation.
Geospatial Semantic Web promises better retrieval geospatial information for Digital Earth systems by explicitly representing the semantics of data through ontologies.It also promotes sharing and reuse of geospatial d...
A significant Geographic Information Science(GIS)issue is closely related to spatial autocorrelation,a burning question in the phase of information extraction from the statistical analysis of georeferenced data.At pre...