Package SK. May 16, 2018
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1 Type Package Package SK May 16, 2018 Title Segment-Based Ordinary Kriging and Segment-Based Regression Kriging for Spatial Prediction Date Version 1.1 Maintainer Yongze Song Segment-based Kriging methods, including segment-based ordinary Kriging (SOK) and segment-based regression Kriging (SRK) for spatial prediction of line segment spatial data as described in Yongze Song (2018) <doi: /tits >. Includes the spatial prediction and spatial visualisation. The descriptions of the methods and case datasets refer to the citation information below. Imports stats, graphics, rgeos, RColorBrewer, sp, GD, rtop, FitAR, MASS Depends R (>= 3.4.0) License GPL-2 LazyData true Suggests knitr, rmarkdown VignetteBuilder knitr RoxygenNote NeedsCompilation no Author Yongze Song [aut, cre] (< Repository CRAN Date/Publication :17:01 UTC R topics documented: bxcxt skriging vehicles wheatbelt
2 2 skriging Index 5 bxcxt Boxcox transform for a response variable Boxcox transform for a response variable bxcxt(y, x) Arguments y x A vector of response variable A vector of explanatory variable Examples vehicles_obs <- vehicles[vehicles@data$obs1pred0 == 1,] vehicles_obs$transheavy <- bxcxt(vehicles_obs$heavy, vehicles_obs$width)[[1]] qqnorm(vehicles_obs$heavy) qqnorm(vehicles_obs$transheavy) lambda <- bxcxt(vehicles_obs$heavy, vehicles_obs$width)[[2]] skriging Function for Segment-based Kriging models Segment-based Kriging models, including Segment-based Ordinary Kriging (SOK) and Segmentbased Regression Kriging (SRK), for spatial prediction of line segment spatial data (polyline). The methods are described in Yongze Song (2018) <doi: /tits >. skriging(formula, polyline = polyline, method = "srk", lwd = "width", obspred = "obs1pred0", boxcox = TRUE) ## S3 method for class 'skriging' print(x,...) ## S3 method for class 'skriging' plot(x, studyarea = NULL,...)
3 vehicles 3 Arguments formula polyline method lwd obspred boxcox x studyarea A skriging formula. A shapefile of spatial polyline. A characteor of segment-based Kriging model. The default is "srk", segmentbased regression Kriging Another method is "sok", segment-based ordinary Kriging. A fixed number or a variable name of polyline of the line width. A variable name of polyline to define the observation and prediction lines. Observation is 1 and prediction is 0. A logical parameter to set whether the dependent variable should be transformed with boxcox function. The default is TRUE. A list of skriging result.... new print and plot A shapefile of spatial polygon of study area. Examples ## SRK: segment-based regression Kriging ## dataset 'vtest' is a sample of dataset 'vehicles' srk1 <- skriging(heavy ~ wpai + width, polyline = vtest, method = "srk", lwd = "width", obspred = "obs1pred0", boxcox = TRUE) srk1 plot(srk1) vehicles Spatial dataset of traffic volumes The "vehicles" dataset is the spatial data of traffic volumes in Wheatbelt region, Western Australia (WA), Australia, in The format is polyline. The attributes include road properties (width and length) and traffic volumes of heavy, light and total vehicles. The variable "obs1pred0" defines the the road segments that have observations or to be predicted. More details and data sources can be referred in the Citation Info of the package. vehicles vtest
4 4 wheatbelt Format vehicles: A Spatial Lines Data Frame with 280 rows and 10 variables. segmentid Number of road segment obs1pred0 Observation is 1 and prediction is 0 length Length of road segment width Width of road segment heavy Traffic volumes of heavy vehicles light Traffic volumes of light vehicles total Total trffic volumes wpai Weighted population accessibility index longitude Longitude of the center of road segment latitude Longitude of the center of road segment Author(s) Yongze Song <yongze.song@postgrad.curtin.edu.au> wheatbelt Spatial dataset of study area Format The "wheatbelt" dataset is spatial polylon of the study area Wheatbelt region, Western Australia (WA), Australia. More details and data sources can be referred in the Citation Info of the package. wheatbelt wheatbelt: A Spatial Polygon Data Frame. Author(s) Yongze Song <yongze.song@postgrad.curtin.edu.au>
5 Index Topic datasets Topic dataset Topic vehicles Topic wheatbelt bxcxt, 2 plot.skriging (skriging), 2 print.skriging (skriging), 2 skriging, 2 vtest (vehicles), 3 5
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