Constrained Spatiotemporal Mixed Models for Exposure Estimation

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Documentation for package ‘sptemExp’ version 0.1.3

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abatchModel A Batch Modeing Training Inner Functions
allPre500 The dataset of the prediction result for some days for 2014 Shandong, interpolated by constrained optimization.
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
countylayer County layer map for illustration of block Kriging.
exeCluster Efficient Clustering Using Union-Find to Obtain the Clusters for Each Sample
extractVNC4 Extract Values for Point from NC4 Image
extractVTIF Extract GeoTiff Data
fillNASVD Function to Use SVD to Impute the Missing Values for Training Dataset
fillNASVDSer SVD to Interpolate the Missing Values in the Time Series Data
genRaster Generation of Raster Covering the Side Map
GetARegionBK Get a Regional Kriging
getClusterCt Retrieve the Central Coordinates for Each Cluser after Clustering Done.
getPolyMMean Generation of Regional Monthly Mean Based on the Input Polygons
getRidbytpoly getRidbytpoly for Assignment of Thiessen polygon id to point object
getTBasisFun Generation of Temporal Basis Function
getTidBKMean Batch Block Kriging for Estimate of Regional Means
gtifRst The 2014 time series of PM2.5 concentrations of Shandong province, with many missing values.
inter2conOpt Batch Interpolation of the Missing Values for Time Series Using Constrained Optimization.
noweiAvg Averages over the Ensemble Predictions of Mixed Models (No weighted)
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 Values
pol_season_trends pol_season_trends .
prnside Side to limit the Thiessen's polygons.
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 spoint_pre covering the Shandong with 2km x 2km grid .
shdSeries2014 The 2014 time series of PM2.5 concentrations of Shandong province, with missing approach.
spointspre SpatialPointDataFrame as container of raster to geo-link with the specific date prediction of PM2.5.
tpolygonsByBorder tpolygonsByBorder for Generation of Thiessen polygons
trainsample The dataset of 2014 training sample for the Shandong with missing values imputed using SVD.
voronoipolygons2 Generation of Thiesseon Polygons By Points
weiA2Ens Ensemble Weighted Prediction of Mixed Models
weightedstat Weighted Average for Multiple Models