SpawExact: Create and describe spatially weighted precise contextual...
In spacom: Spatially Weighted Context Data for Multilevel Modelling

Description Usage Arguments Value Author(s) References Examples

This step-2 function should be used to create spatially weighted context data when contextual indicators are directly available as precise macro-level measures (e.g., population values based on census or registry data, or precise geographic measures). The generated context data can be adjusted by user-defined population weights.

SpawExact(precise.data,
          context.id,
          contextual.names,
          contextual.weight.matrices,
          population.weight.names = NULL)

`precise.data`	A `data.frame` consisting of precise contextual indicators and a context ID variable
`context.id`	The name of the context ID variable. This variable allows matching contextual units from different data sets (`precise.data`, `contextual.weight.matrix`). Values can by of any type but need to be defined consitently across data sets.
`contextual.names`	A `list` of column names of contextual variables to be weighted
`contextual.weight.matrices`	A `list` of square weight matrices of dimension n by n, where n is the number of contextual units to be applied to the variable specified in `contextual.names`, respectively.
`population.weight.names`	A `list` of column names to be used as population weights. By default `NULL` which means that no population weighting is performed. If only one name is provided, the corresponding column is used as a weight for all contextual names

A data.frame containing the spatially weighted contextual.names.

Till Junge, Sandra Penic, Guy Elcheroth

Elcheroth, G., Penic, S., Fasel, R., Giudici, F., Glaeser, S., Joye, D., Le Goff, J.-M., Morselli, D., & Spini, D. (2012). Spatially weighted context data: a new approach for modelling the impact of collective experiences. LIVES Working Papers, 19.

## Creating spatially weighted precise contextual indicator - spatially weighted 
## ethnic homogeneity across TRACES areas.
## This is step-2 function

## Step 1: Load distance matrix and create weights

data(d_geo)
geow.50 <- WeightMatrix(d_geo, bandwidth=50)

## Step 2: Load dataframe with precise contextual indicator and 
## create spatially weighted indicator

data(homog_census)

homog.g50 <- SpawExact(precise.data=homog_census,
                       context.id="area.name",
                       contextual.names="Homog_00",
                       contextual.weight.matrices=geow.50)