Abstract. Collective phenomena and their associated movement patterns are ubiquitous in everyday life. However, even though we need to be able to reason about these phenomena, espe...
Behavioral experiments addressing the conceptualization of geographic events are few and far between. Our research seeks to address this deficiency by developing an experimental fr...
Alexander Klippel, Rui Li, Frank Hardisty, Chris W...
Researchers from the cognitive and spatial sciences are studying text descriptions of movement patterns in order to examine how humans communicate and understand spatial informatio...
Xiao Zhang, Prasenjit Mitra, Alexander Klippel, Al...
Characterizing mobility or contact patterns in a campus environment is of interest for a variety of reasons. Existing studies of these patterns can be classified into two basic a...
Abstract—Dummy-based anonymization techniques for protecting location privacy of mobile users have been proposed in the literature. By generating dummies that move in humanlike t...
As technology advances we encounter more available data on moving objects, thus increasing our ability to mine spatiotemporal data. We can use this data for learning moving object...
This paper presents Geo-Linda, a physically distributed tuple space. Geo-Linda targets ubiquitous computing applications involving the detection of movement patterns of objects an...
Movement patterns of individual entities at the geographic scale are becoming a prominent research focus in spatial sciences. One pertinent question is how cognitive and formal cha...