Provides tools to construct and exploit spatially weighted context data. Spatial weights are derived by a Kernel function from a user-defined matrix of distances between contextual units. Spatial weights can then be applied either to precise contextual measures or to aggregate estimates based on micro-level survey data, to compute spatially weighted context data. Available aggregation functions include indicators of central tendency, dispersion, or inter-group variability, and take into account survey design weights. The package further allows combining the resulting spatially weighted context data with individual-level predictor and outcome variables, for the purposes of multilevel modelling. An ad hoc stratified bootstrap resampling procedure generates robust point estimates for multilevel regression coefficients and model fit indicators, and computes confidence intervals adjusted for measurement dependency and measurement error of aggregate estimates. As an additional feature, residual and explained spatial dependency can be estimated for the tested models.
|Author||Till Junge [aut, cre], Sandra Penic [aut], Mathieu Cossuta [aut], Guy Elcheroth [aut], Stephanie Glaeser [ctb], Davide Morselli [ctb]|
|Date of publication||2016-02-11 08:27:52|
|Maintainer||Till Junge <email@example.com>|
|License||GPL (>= 2)|
d_ethnic_descr: A distance matrix for TRACES areas
d_geo_descr: A distance matrix for TRACES areas
d_ident_descr: A distance matrix for TRACES areas
d_migr_descr: A distance matrix for TRACES areas
ExploreMLSpawExact: Exploratory multilevel analysis with spatially weighted...
homog_census_descr: Dataset homog_census
MLSpawExactOutput-class: Class '"MLSpawExactOutput"'
MLSpawResidMoran: Testing the (residual) spatial dependency
MultiKeyHash-class: Class '"MultiKeyHash"'
ResampleMLSpawAggregate: Spatially weighted multilevel analysis with stratified...
ResampleMLSpawExact: Spatially weighted multilevel analysis with stratified...
ResampleMLSpawOutput-class: Class '"ResampleMLSpawOutput"'
spacom-package: Spatially weighted context data for multilevel modelling
SpawAggregate: Create and describe spatially weighted survey estimates for...
SpawAggregateOutput-class: Class '"SpawAggregateOutput"'
SpawExact: Create and describe spatially weighted precise contextual...
SpawML: Standard multilevel analysis applied to spatially weighted...
traces_event_descr: Dataset traces_event
traces_ind_descr: Dataset traces_ind
WeightMatrix: Create spatial weighting matrices
wt.var: Aggregation functions provided by spacom