dfToGrid

Function dfToGrid has been replaced by btb_ptsToGrid

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>.

Solène Colin

Beyond the Border - Kernel Density Estimation for Urban
Geography

Arlindo Dos Santos

François Sémécurbe

Julien Pramil

Kim Antunez

Auriane Renaud

Farida Marouchi

Joachim Timotéo

Institut national de la statistique et des études économiques 

dfToGrid function

<dl><dt>df</dt>
<dd>centroid points</dd>
<dt>sEPSG</dt>
<dd>epsg code</dd>
<dt>iCellSize</dt>
<dd>cell size</dd></dl>

Arguments

Depreciated function of btb_ptsToGrid — dfToGrid

<dl>

<dt>df</dt>
<dd>centroid points</dd>


<dt>sEPSG</dt>
<dd>epsg code</dd>


<dt>iCellSize</dt>
<dd>cell size</dd>

</dl>

dfToGrid: Depreciated function of btb_ptsToGrid

Description

Usage

Value

Arguments