Smooth geographical data
Project description
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.
Contributions
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]
What do 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.