| Name : R-btb
| |
| Version : 0.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.4.1
| Date : 2024-09-10 10:02:05
|
| Group : Development/Libraries/Other
| Source RPM : R-btb-0.2.0-lp154.4.1.src.rpm
|
| Size : 2.19 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Beyond the Border - Kernel Density Estimation for Urban Geography
|
Description :
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 four
major call modes of the function. The first call mode is
kernelSmoothing(obs, epsg, cellsize, bandwidth) for a classical kernel
smoothing and automatic grid. The second call mode is
kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles) for a
geographically weighted median and automatic grid. The third call mode
is kernelSmoothing(obs, epsg, cellsize, bandwidth, centroids) for a
classical kernel smoothing and user grid. The fourth call mode is
kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles, centroids)
for a geographically weighted median 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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
