Spatiotemporal data representation and its effect on the performance of spatial analysis in a cyberinfrastructure environment - A case study with raster zonal analysis.
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%0 Journal Article
%1 journals/gandc/SongLZL16
%A Song, Miaomiao
%A Li, Wenwen
%A Zhou, Bin
%A Lei, Ting
%D 2016
%J Computers & Geosciences
%K dblp
%P 11-21
%T Spatiotemporal data representation and its effect on the performance of spatial analysis in a cyberinfrastructure environment - A case study with raster zonal analysis.
%U http://dblp.uni-trier.de/db/journals/gandc/gandc87.html#SongLZL16
%V 87
@article{journals/gandc/SongLZL16,
added-at = {2018-09-26T00:00:00.000+0200},
author = {Song, Miaomiao and Li, Wenwen and Zhou, Bin and Lei, Ting},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/252ecef93c322344ac43c31b31d6be7ca/dblp},
ee = {https://doi.org/10.1016/j.cageo.2015.11.005},
interhash = {05d74e0f253c06bf51df2e0b8df45e2c},
intrahash = {52ecef93c322344ac43c31b31d6be7ca},
journal = {Computers & Geosciences},
keywords = {dblp},
pages = {11-21},
timestamp = {2019-09-27T08:14:40.000+0200},
title = {Spatiotemporal data representation and its effect on the performance of spatial analysis in a cyberinfrastructure environment - A case study with raster zonal analysis.},
url = {http://dblp.uni-trier.de/db/journals/gandc/gandc87.html#SongLZL16},
volume = 87,
year = 2016
}