This book highlights advanced applications of geospatial data
analytics to address real-world issues in urban society. With a
connected world, we are generating spatial at unprecedented rates
which can be harnessed for insightful analytics which define the
way we analyze past events and define the future directions. This
book is an anthology of applications of spatial data and analytics
performed on them for gaining insights which can be used for
problem solving in an urban setting. Each chapter is contributed by
spatially aware data scientists in the making who present spatial
perspectives drawn on spatial big data. The book shall benefit
mature researchers and student alike to discourse a variety of
urban applications which display the use of machine learning
algorithms on spatial big data for real-world problem solving.
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