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.