Sensor network data analysis at different levels of granularity
نویسندگان
چکیده
The analysis of sensor network data may reveal insights at different levels of granularity. Based on the example of analysing fish movement data in Murray River in Australia, it is shown how the use of different levels of granularity allow the aggregation of otherwise sparse data and find insights into fish movement behaviour. The approach is then conceptually extended to more complex network structures where animals are not restricted to linear movement by using a graph-theoretic perspective for landscape connectivity.
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