Smooth geographical data
pip install btbpy==0.1.0
btbpy
is a partial transposition of R btb
package, available on the CRAN.
Developer and maintainer of btbpy
package
Julien Jamme, julien.jamme@protonmail.com
Authors and Contributors of R btb
package:
Arlindo Dos Santos [cre],
Francois Semecurbe [drt, aut],
Auriane Renaud [ctb],
Farida Marouchi [ctb]
Joachim Timoteo [ctb]
btbpy
and btb
do ?The kernelSmoothing() function allows you to square and smooth geolocated data. It calculates a classical kernel smoothing (conservative) or a geographically weighted median. There are only two major call modes of the function. The smoothing with quantiles method is not available on the btbpy package. The first call mode is kernelSmoothing(obs, epsg, cellsize, bandwith) for a classical kernel smoothing and automatic grid. The second call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, centroids) for a classical kernel smoothing and user grid.
Geographically weighted summary statistics : a framework for localised exploratory data analysis, C.Brunsdon & al., in Computers, Environment and Urban Systems C.Brunsdon & al. (2002) doi:10.1016/S0198-9715(01)00009-6, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition, Diggle, pp. 83-86, (2003) doi:10.1080/13658816.2014.937718.