Soeren Gebbert 06c20fcc3b Bug fixing. New method to sample a spcae time dataset by granularity. 13 gadi atpakaļ
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Makefile a6b91e7afc Moved code from list and aggregation modules into the library. 13 gadi atpakaļ
__init__.py a6b91e7afc Moved code from list and aggregation modules into the library. 13 gadi atpakaļ
abstract_dataset.py d52b7239fe Removed some performance issues 13 gadi atpakaļ
abstract_map_dataset.py 06c20fcc3b Bug fixing. New method to sample a spcae time dataset by granularity. 13 gadi atpakaļ
abstract_space_time_dataset.py 06c20fcc3b Bug fixing. New method to sample a spcae time dataset by granularity. 13 gadi atpakaļ
aggregation.py a6b91e7afc Moved code from list and aggregation modules into the library. 13 gadi atpakaļ
base.py d52b7239fe Removed some performance issues 13 gadi atpakaļ
core.py 0007aa52e2 New functions to compute the temporal granularity from registered maps 13 gadi atpakaļ
datetime_math.py 0007aa52e2 New functions to compute the temporal granularity from registered maps 13 gadi atpakaļ
metadata.py 7978896479 Docs partly updated and polished. 13 gadi atpakaļ
space_time_datasets.py f72cccc94c Better code managament 13 gadi atpakaļ
space_time_datasets_tools.py 06c20fcc3b Bug fixing. New method to sample a spcae time dataset by granularity. 13 gadi atpakaļ
spatial_extent.py 7978896479 Docs partly updated and polished. 13 gadi atpakaļ
temporal_extent.py 06c20fcc3b Bug fixing. New method to sample a spcae time dataset by granularity. 13 gadi atpakaļ
temporal_granularity.py 0007aa52e2 New functions to compute the temporal granularity from registered maps 13 gadi atpakaļ
unit_tests.py 0007aa52e2 New functions to compute the temporal granularity from registered maps 13 gadi atpakaļ