July 2017
Beginner to intermediate
378 pages
10h 26m
English
Content preview from Analytics for the Internet of Things (IoT)
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Summary
In this chapter, you learned about how to use geospatial analytics to find insights and answer complex questions about IoT data. The importance of geospatial analysis for geographically distributed IoT devices was discussed. The concept of CRS was introduced along with haversine distance and its limitations.
The world is not a perfect sphere. Methods to adjust for that in order to accurately measure distance was covered. Python functions for geospatial analytics, such as buffer and contains, were discussed, along with some examples.
Storing and processing geospatial data requires some specialized handling. Some geospatial databases and GIS software tools were reviewed. PostGIS spatial functions were also reviewed. We went over some ...