| abatchModel | A Batch Modeing Training Inner Functions |
| allPre500 | The dataset of the prediction result for some days for 2014... |
| bKriging | Regional Mean Estimation by Block Kriging |
| bnd | BND spatial topology data for use in spatial effect modeling. |
| colorCusGrinf | Customed Color Generation by the Number of the Levels |
| colorGrinf | Generation of Customed Gradient Colors |
| conOpt | Function of Constrained Optimization |
| conOptNo2 | Constrained Optimization for NO2 Series for a Location |
| conOptNox | Constrained Optimization for NOx Series for a Location |
| countylayer | County layer map for illustration of block Kriging. |
| extarctBiweekMegteos | Extract the biweekly averages for the subject location and... |
| extractVNC4 | Extract Values for Point from NC4 Image |
| extractVTIF | Extract GeoTiff Data |
| fillNASVD | Function to Use SVD to Impute the Missing Values for Training... |
| fillNASVDSer | SVD to Interpolate the Missing Values in the Time Series Data |
| genBiweekMeteos | Generate the meteorological parameters on the server side for... |
| genRaster | Generation of Raster Covering the Side Map |
| GetARegionBK | Get a Regional Kriging |
| getPolyMMean | Generation of Regional Monthly Mean Based on the Input... |
| getPolyYMean | Generation of Regional Yearly Mean Based on the Input... |
| getPolyYMeanFlag | Extract regional yearly mean of air pollutants |
| getRidbytpoly | getRidbytpoly for Assignment of Thiessen polygon id to point... |
| getRidbytpolyFlag | Assign Thiessen Polygon ID to New Dataset |
| getTBasisFun | Generation of Temporal Basis Function |
| getTidBKMean | Batch Block Kriging for Estimate of Regional Means |
| getTimeSeriesFlag | Extract temporal basis function |
| getTrainCov | Extract the covariate value from the train model |
| getTSeries | Access the temporal basis function of NO2 and NOx for a... |
| gtifRst | The 2014 time series of PM2.5 concentrations of Shandong... |
| hello | Hello, World! |
| inter2conOpt | Batch Interpolation of the Missing Values for Time Series... |
| noweiAvg | Averages over the Ensemble Predictions of Mixed Models (No... |
| parATimePredict | Batch Prediction for Time Series Using the Ensemble Models |
| parSpModel | Generation of Spatiotemporal Models by Bootstrap Aggregating |
| parTemporalBImp | Function to Fill Missing Values by Constraint Optimization |
| perMdPrediction | Batch Prediction Using the Trained Models |
| points2Raster | Generation of Grid Surface Using the predicted/Interpolated... |
| pol_season_trends | pol_season_trends . |
| prnside | Side to limit the Thiessen's polygons. |
| pyparpredict | Python parallel computation for prediction |
| rcpp_hello | Hello, Rcpp! |
| rmse | RMSE function |
| rSquared | Coefficient of Determination |
| samplepnt | Sample data for generation of Thiessen polygons. |
| shd140401pcovs | The dataset of 04/01/2014 prediction dataset for the raster... |
| shdSeries2014 | The 2014 time series of PM2.5 concentrations of Shandong... |
| spointspre | SpatialPointDataFrame as container of raster to geo-link with... |
| tpolygonsByBorder | tpolygonsByBorder for Generation of Thiessen polygons |
| trainsample | The dataset of 2014 training sample for the Shandong with... |
| voronoipolygons2 | Generation of Thiesseon Polygons By Points |
| weiA2Ens | Ensemble Weighted Prediction of Mixed Models |
| weiA2EnsFlag | Weighted averages by the output of mixed models on the server... |
| weightedstat | Weighted Average for Multiple Models |
