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A scaled space-filling curve index applied to tropical rain forest tree distributions
[article]
2019
arXiv
pre-print
In order to be able to process the increasing amount of spatial data, efficient methods for their handling need to be developed. One major challenge for big spatial data is access. This can be achieved through space-filling curves, as they have the property that nearby points on the curve are also nearby in space. They are able to handle higher dimensional data, too. Higher dimensional data is widely used e.g. in CityGML and is becoming more and more important. In a laboratory experiment on a
arXiv:1904.08053v2
fatcat:kz554te5vzg5pel6hvjad4nagy