Smooth geographical data
Beyond the Border (Python version) : Kernel Density Estimation for Urban Geography
btbpy (Beyond the Border for Python Users)
btbpy is a partial transposition of R
btb package, available on the CRAN.
Developer and maintainer of
Julien Jamme, firstname.lastname@example.org
Authors and Contributors of R
Arlindo Dos Santos [cre],
Francois Semecurbe [drt, aut],
Auriane Renaud [ctb],
Farida Marouchi [ctb]
Joachim Timoteo [ctb]
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.
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