Spatial data science problems
spatial data science problems
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In this lecture, we will be discussed about spatial data science problems.
I will categorize spatial data science problems into six groups in terms of solution frameworks. As shown on the slide, six problem types are: Desktop GIS, Server GIS, Spatial Web, Spatial Data Analytics, Spatial Data Management and Analytics, Spatial Big Data Management and Analytics. For each problem type, I will explain how the solution framework can be used.
spatial data science problems could be simply defined as problems associated with "where" for either input data, or output results, or both. Examples are "Where is the best place for a new restaurant in Accra, Ghana? What is the emotional condition based on his or her trajectory now? We do not have a clear answer to the questions yet, but it will be very meaningful question in mobile IT business. If you have a reliable solution, Microsoft or other major IP companies would buy and use it for their personal assistant. For example, Cortana for Windows 10.