Throughout most of human history, events and phenomena of interest have been
characterized using space and time as their major characteristic dimensions, in either …

Geographers and scientists can collect and analyze social media and Big Data via
smartphones, sensors, and mobile devices with locational contents, such as global …

ABSTRACT Geography (eg, features, topology, relationships) is relatively well-developed in
ontology research. Integrating time and temporal referencing of geographic concepts in …

Gentrification, the rise of affluent socioeconomic populations in economically depressed
urban neighborhoods, has been accused of disrupting community in these neighborhoods …

This paper argues for a “human-centered” approach to knowledge discovery from movement
data through the use of visualization and map**. As movement data becomes more …

In designing evacuation plans, it is critical for the responsive agencies to consider the
dynamic change of human population within impact areas and understand social perception …

This article introduces latent trajectory models (LTMs), an approach often employed in social
sciences to handle longitudinal data, to the arena of GIScience, particularly space‐time …

This paper aims to propose a new approach to calculate the quantitative relations between
morphostructural similarity degree and map scale change in multi-scale contour clusters for …

In a data visualization system, data are converted into information and/or knowledge by
human vision perception of graph representing these data. This research studies the …

Visualization of multivariate data is a big challenge to problems of visual analytics. A system
of data visualization is composed of visual map** stage and visual display stage. The …