Geographically-Weighted Models
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Documentation for package ‘GWmodel’ version 2.3-3
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A B C D E F G L M N P R S T U W
| GWmodel-package | Geographically-Weighted Models |
-- A --
| AICc | Model selection for GWR with a given set of independent variables |
| AICc1 | Scalable GWR |
| AICc_rss | Model selection for GWR with a given set of independent variables |
| AICc_rss1 | Bandwidth selection for basic GWR |
-- B --
| bias.bs | Bootstrap GWR |
| bw.ggwr | Bandwidth selection for generalised geographically weighted regression (GWR) |
| bw.gtwr | Bandwidth selection for GTWR |
| bw.gwda | Bandwidth selection for GW Discriminant Analysis |
| bw.gwpca | Bandwidth selection for Geographically Weighted Principal Components Analysis (GWPCA) |
| bw.gwr | Bandwidth selection for basic GWR |
| bw.gwr.lcr | Bandwidth selection for locally compensated ridge GWR (GWR-LCR) |
| bw.gwr1 | Minkovski approach for GWR |
| bw.gwr3 | Bootstrap GWR |
| bw.gwss.average | Bandwidth selection for GW summary averages |
-- C --
| check.components | Interaction tool with the GWPCA glyph map |
| ci.bs | Bootstrap GWR |
| Ci_mat | Basic GWR model |
| confusion.matrix | GW Discriminant Analysis |
-- D --
| Dub.voter | Voter turnout data in Greater Dublin(SpatialPolygonsDataFrame) |
| DubVoter | Voter turnout data in Greater Dublin(SpatialPolygonsDataFrame) |
-- E --
| ehat | Model selection for GWR with a given set of independent variables |
| EWHP | House price data set (DataFrame) in England and Wales |
| ewhp | House price data set (DataFrame) in England and Wales |
| ewoutline | Outline of England and Wales for data EWHP |
| extract.mat | Model selection for GWR with a given set of independent variables |
| e_vec | Bandwidth selection for basic GWR |
-- F --
| F1234.test | Basic GWR model |
| fitted | Bandwidth selection for basic GWR |
-- G --
| Gedu.counties | Georgia counties data (SpatialPolygonsDataFrame) |
| Gedu.df | Georgia census data set (csv file) |
| Generate.formula | Model selection for GWR with a given set of independent variables |
| generate.lm.data | Bootstrap GWR |
| Georgia | Georgia census data set (csv file) |
| ggwr.aic | Bandwidth selection for generalised geographically weighted regression (GWR) |
| ggwr.basic | Generalised GWR models with Poisson and Binomial options |
| ggwr.cv | Cross-validation score for a specified bandwidth for generalised GWR |
| ggwr.cv.contrib | Cross-validation data at each observation location for a generalised GWR model |
| glyph.plot | Multivariate glyph plots of GWPCA loadings |
| gold | Bandwidth selection for basic GWR |
| grouping.xy | GW Discriminant Analysis |
| gtwr | Geographically and Temporally Weighted Regression |
| gtwr.aic | Bandwidth selection for GTWR |
| gtwr.cv | Bandwidth selection for GTWR |
| gw.average.cv | Bandwidth selection for GW summary averages |
| gw.average.cv.contrib | Bandwidth selection for GW summary averages |
| gw.dist | Distance matrix calculation |
| gw.fitted | Model selection for GWR with a given set of independent variables |
| gw.mean.cv | Bandwidth selection for GW summary averages |
| gw.median.cv | Bandwidth selection for GW summary averages |
| gw.pcplot | Geographically weighted parallel coordinate plot for investigating multivariate data sets |
| gw.reg1 | GWR used as a spatial predictor |
| gw.weight | Weight matrix calculation |
| gwda | GW Discriminant Analysis |
| GWmodel | Geographically-Weighted Models |
| gwpca | GWPCA |
| gwpca.check.components | Interaction tool with the GWPCA glyph map |
| gwpca.cv | Cross-validation score for a specified bandwidth for GWPCA |
| gwpca.cv.contrib | Cross-validation data at each observation location for a GWPCA |
| gwpca.glyph.plot | Multivariate glyph plots of GWPCA loadings |
| gwpca.montecarlo.1 | Monte Carlo (randomisation) test for significance of GWPCA eigenvalue variability for the first component only - option 1 |
| gwpca.montecarlo.2 | Monte Carlo (randomisation) test for significance of GWPCA eigenvalue variability for the first component only - option 2 |
| gwr.aic | Bandwidth selection for basic GWR |
| gwr.aic1 | Minkovski approach for GWR |
| gwr.backfit | Multiscale GWR |
| gwr.basic | Basic GWR model |
| gwr.binomial | Generalised GWR models with Poisson and Binomial options |
| gwr.binomial.wt | Generalised GWR models with Poisson and Binomial options |
| gwr.bootstrap | Bootstrap GWR |
| gwr.collin.diagno | Local collinearity diagnostics for basic GWR |
| gwr.cv | Cross-validation score for a specified bandwidth for basic GWR |
| gwr.cv.contrib | Cross-validation data at each observation location for a basic GWR model |
| gwr.cv1 | Minkovski approach for GWR |
| gwr.fitted | Generalised GWR models with Poisson and Binomial options |
| gwr.generalised | Generalised GWR models with Poisson and Binomial options |
| gwr.hetero | Heteroskedastic GWR |
| gwr.lcr | GWR with a locally-compensated ridge term |
| gwr.lcr.cv | Cross-validation score for a specified bandwidth for GWR-LCR model |
| gwr.lcr.cv.contrib | Cross-validation data at each observation location for the GWR-LCR model |
| gwr.mink.approach | Minkovski approach for GWR |
| gwr.mink.matrixview | Visualisation of the results from 'gwr.mink.approach' |
| gwr.mink.pval | Select the values of p for the Minkowski approach for GWR |
| gwr.mink.pval.backward | Select the values of p for the Minkowski approach for GWR |
| gwr.mink.pval.forward | Select the values of p for the Minkowski approach for GWR |
| gwr.mixed | Mixed GWR |
| gwr.mixed.2 | Mixed GWR |
| gwr.mixed.2.fast | Mixed GWR |
| gwr.mixed.trace | Mixed GWR |
| gwr.mixed.trace.fast | Mixed GWR |
| gwr.model.selection | Model selection for GWR with a given set of independent variables |
| gwr.model.sort | Sort the results of the GWR model selection function 'gwr.model.selection'. |
| gwr.model.view | Visualise the GWR models from 'gwr.model.selection' |
| gwr.montecarlo | Monte Carlo (randomisation) test for significance of GWR parameter variability |
| gwr.multiscale | Multiscale GWR |
| gwr.poisson | Generalised GWR models with Poisson and Binomial options |
| gwr.poisson.wt | Generalised GWR models with Poisson and Binomial options |
| gwr.predict | GWR used as a spatial predictor |
| gwr.q | Mixed GWR |
| gwr.q2 | Multiscale GWR |
| gwr.robust | Robust GWR model |
| gwr.scalable | Scalable GWR |
| gwr.scalable.loocv | Scalable GWR |
| gwr.t.adjust | Adjust p-values for multiple hypothesis tests in basic GWR |
| gwr.write | Write the GWR results into files |
| gwr.write.shp | Write the GWR results into files |
| gwrt.err | Bootstrap GWR |
| gwrt.lag | Bootstrap GWR |
| gwrt.mlr | Bootstrap GWR |
| gwrt.sma | Bootstrap GWR |
| gwrtvar | Bootstrap GWR |
| gwr_diag | Basic GWR model |
| gwr_diag1 | Scalable GWR |
| gwr_mixed_2 | Mixed GWR |
| gwr_mixed_trace | Mixed GWR |
| gwr_q | Mixed GWR |
| gwss | Geographically weighted summary statistics (GWSS) |
| gwss.montecarlo | Monte Carlo (randomisation) test for gwss |
| gw_BIC | Bandwidth selection for basic GWR |
| gw_cv_all | Bandwidth selection for basic GWR |
| gw_cv_all_cuda | Bandwidth selection for basic GWR |
| gw_cv_all_omp | Basic GWR model |
| gw_dist | Distance matrix calculation |
| gw_fitted | Multiscale GWR |
| gw_local_r2 | Basic GWR model |
| gw_reg | Basic GWR model |
| gw_reg_1 | Basic GWR model |
| gw_reg_2 | Basic GWR model |
| gw_reg_all | Basic GWR model |
| gw_reg_all_cuda | Basic GWR model |
| gw_reg_all_omp | Basic GWR model |
| gw_weight | Weight matrix calculation |
| gw_weight_mat | Weight matrix calculation |
| gw_weight_vec | Weight matrix calculation |
-- L --
| local.corr | Geographically weighted summary statistics (GWSS) |
| LondonBorough | London boroughs data |
| londonborough | London boroughs data |
| LondonHP | London house price data set (SpatialPointsDataFrame) |
| londonhp | London house price data set (SpatialPointsDataFrame) |
-- M --
| mink.approach | Minkovski approach for GWR |
| mink.matrixview | Visualisation of the results from 'gwr.mink.approach' |
| model.selection.gwr | Model selection for GWR with a given set of independent variables |
| model.sort.gwr | Sort the results of the GWR model selection function 'gwr.model.selection'. |
| model.view.gwr | Visualise the GWR models from 'gwr.model.selection' |
| montecarlo.gwpca.1 | Monte Carlo (randomisation) test for significance of GWPCA eigenvalue variability for the first component only - option 1 |
| montecarlo.gwpca.2 | Monte Carlo (randomisation) test for significance of GWPCA eigenvalue variability for the first component only - option 2 |
| montecarlo.gwr | Monte Carlo (randomisation) test for significance of GWR parameter variability |
| montecarlo.gwss | Monte Carlo (randomisation) test for gwss |
-- N --
| new_multiscale | Multiscale GWR |
-- P --
| parametric.bs | Bootstrap GWR |
| parametric.bs.local | Bootstrap GWR |
| plot.mcsims | Monte Carlo (randomisation) test for significance of GWPCA eigenvalue variability for the first component only - option 1 |
| plot.pvlas | Select the values of p for the Minkowski approach for GWR |
| print.ggwrm | Generalised GWR models with Poisson and Binomial options |
| print.gtwrm | Geographically and Temporally Weighted Regression |
| print.gwda | GW Discriminant Analysis |
| print.gwpca | GWPCA |
| print.gwrbsm | Bootstrap GWR |
| print.gwrlcr | GWR with a locally-compensated ridge term |
| print.gwrm | Basic GWR model |
| print.gwrm.pred | GWR used as a spatial predictor |
| print.gwss | Geographically weighted summary statistics (GWSS) |
| print.mgwr | Mixed GWR |
| print.multiscalegwr | Multiscale GWR |
| print.scgwrm | Scalable GWR |
| pval.bs | Bootstrap GWR |
-- R --
| ridge.lm | GWR with a locally-compensated ridge term |
| robustSvd | GWPCA |
| rss | Model selection for GWR with a given set of independent variables |
| rwpca | GWPCA |
-- S --
| scgwr_loocv | Scalable GWR |
| scgwr_pre | Scalable GWR |
| scgwr_reg | Scalable GWR |
| se.bs | Bootstrap GWR |
| splitx | GW Discriminant Analysis |
| st.dist | Spatio-temporal distance matrix calculation |
-- T --
| ti.dist | Geographically and Temporally Weighted Regression |
| ti.distm | Geographically and Temporally Weighted Regression |
| ti.distv | Geographically and Temporally Weighted Regression |
| trhat2 | Basic GWR model |
-- U --
| USelect2004 | Results of the 2004 US presidential election at the county level (SpatialPolygonsDataFrame) |
-- W --
| wlda | GW Discriminant Analysis |
| wlda.cr | Bandwidth selection for GW Discriminant Analysis |
| wmean | GW Discriminant Analysis |
| wpca | GWPCA |
| wprior | GW Discriminant Analysis |
| wqda | GW Discriminant Analysis |
| wqda.cr | Bandwidth selection for GW Discriminant Analysis |
| writeGWR | Write the GWR results into files |
| writeGWR.shp | Write the GWR results into files |
| wt.median | GWPCA |
| wvarcov | GW Discriminant Analysis |