The rapid pace of data growth through proliferating, disparate location-sensing sources has given rise to a paradigm shift in how new age spatio-temporal (big) data is processed. Confidence in existing/traditional data engineering capabilities is gradually fading, triggering an urgent need for the next generation data management and analytical frameworks to deal with scalable spatio-temporal big data. The
International Journal of Spatio-Temporal Data Science addresses the issues/challenges increasingly posed by overly complex and geographically distributed spatio-temporal data, a rapidly growing area in the realm of big data.
There is a
free download of the papers from this first issue.
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