What is spatial data science? If you are just starting to dive into the world of analytics, you may have heard people talk about spatial data science. But what is it really? Where does it come from? There’s a lot of confusion surrounding this term, but don’t worry we’ll…
Spatial Data Science is a branch of mathematics which deals with the modeling, storage, manipulation and administration of large-scale continuous spatial data. Spatial data can be defined as the kind of data that represents geographic locations including lines and curves. A wide range of topics such as cluster analysis, statistical modeling, computer vision, visualization and machine learning are included within the domain. <br> <br> The concept behind SDI research doesn’t only make it an emerging trend but also a highly lucrative field in today’s world which harbors enormous opportunities for software companies trying to venture into this unspoiled terrain.<br> <br> The key factor that has fueled interest in SDI research is the growth of location-based services industry that has resulted in an explosion of available location-based information. Leading companies use SDI methods to collect, analyze, organize and make sense of data to optimize their corporate strategy.
geographical data science and spatial data analysis an introduction in r pdf
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