Abstract
The authors analyze the change in the amount of information at each level of hexagonal discrete global grid systems with an aperture of 7. They provide mechanisms for sampling spatial data and changing their granularity through hierarchical transitions between levels. The resolution is related to the volume of spatial data that can be displayed with the current grid. Three metrics are used to estimate the parameter having quantitative findings on the built-up areas and qualitative land use-and-cover data as an example. The results showed that the amount of information decreases non-linearly with increasing grid cell size; the nature of the change differs for different data types and aggregation methods. The study led to the conclusion that it is possible to predict the number of levels within which the information content reduces insignificantly with a cutback in detail for a specific DGGS configuration and data type
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
