vam.whittaker
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State-of-the art whittaker smoother for EO data
vam.whittaker
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Whittaker core functionality used in the modape package <https://github.com/WFP-VAM/modape>
_
State-of-the art whittaker smoother, implemented as fast C-extension through Cython and including a V-curve optimization of the smoothing parameter.
Includes the following variations of the whittaker smoother with 2nd order differences:
-
ws2d: Whittaker with fixed smoothing parameter (
s
) -
ws2dp: Whittaker with fixed smoothing parameter (
s
) and expectile smoothing using asymmetric weights -
ws2doptv: Whittaker with V-curve optimization of the smoothing parameter (
s
) -
ws2doptvp: Whittaker with V-curve optimization of the smoothing parameter (
s
) and expectile smoothing using asymmetric weights
Installation
Dependencies:
vam.whittaker depends on numpy
. For building the c-extension, Cython
is required.
Installation from PyPI:
.. code:: bash
$ pip install vam.whittaker
Installation from github:
.. code:: bash
$ git clone https://github.com/WFP-VAM/vam.whittaker
$ cd vam.whittaker
$ pip install .
Usage
.. code:: python
import vam.whittaker
# or
from vam.whittaker import * # ws2d, ws2dp, ws2doptv, ws2optvp, lag1corr
For examples on the usage of the different functions, check out the modape jupyter notebook <https://github.com/WFP-VAM/modape/blob/master/docs/examples/whittaker_core.ipynb>
_!
Bugs, typos & feature requests
If you find a bug, see a typo, have some kind of troubles running the module or just simply want to have a feature added, please submit an issue <https://github.com/WFP-VAM/vam.whittaker/issues/new>
_!
CHANGES
- v1.0.0: - initial release
- v1.0.1: - minor version issue fix
- v2.0.0:
- new function
wsdp
& fix forws2doptvp
- v2.0.1:
- minor bugfix in
wsdp
- v2.0.2: - distribute built extension on pypi
- v2.0.3: - restructure and improve packaging
- v2.0.6: - fix module import and wheel packaging
References:
P. H. C. Eilers, V. Pesendorfer and R. Bonifacio, "Automatic smoothing of remote sensing data," 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), Brugge, 2017, pp. 1-3. doi: 10.1109/Multi-Temp.2017.8076705 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076705&isnumber=8035194
Core Whittaker function adapted from whit2
function from R
package ptw <https://cran.r-project.org/package=ptw>
_:
Bloemberg, T. G. et al. (2010) "Improved Parametric Time Warping for Proteomics", Chemometrics and Intelligent Laboratory Systems, 104 (1), 65-74
Wehrens, R. et al. (2015) "Fast parametric warping of peak lists", Bioinformatics, in press.