rHEALPIX Experimental Results for contrasting algorithms
收藏DataCite Commons2022-02-10 更新2025-04-09 收录
下载链接:
https://data.csiro.au/collections/collection/CIcsiro:53587v1/DItrue
下载链接
链接失效反馈官方服务:
资源简介:
This record captures what algorithmic strategies best handled particular features of input data. The algorithms computed the rHEALPIX cell representations of geospatial objects. Input data includes Koche Snowflakes (Fractals) and ABS Statistical Area Level 2 for Victorian regions. The records demonstrate how performance scaled with changes in query resolution and/or characteristics of input data. It is not unrealistic to have DGGS cell queries require days worth of computation, where picking the incorrect algorithm for a particular input can result in a similar maginitude of excessive time spent on computations. Hence, this data was produced to help those computing DGGS cell representation select the appropriate algorithm/algorithmic strategy to save time and computational resources.
提供机构:
CSIRO
创建时间:
2022-02-10



