mapgrid: mapgrid includes a given variable into a plottas grpahic
In haddonm/abspatial: A set of functions to assist mapping Abalone Spatial data

Description Usage Arguments Value Examples

mapgrid is used when plotting up the distribution of different variables from a SpatialPolygonsDataFrame that has been translated into an ordinary data.frame. It uses the lat and long to place the given variable onto a plottas graphic. The variables available are blkg2012 - blkg2018, blkgtotal, days2012 -days2018, daystotal, mins2012 - mins2018, minstotal, divers2012-divers2018, kgday2012 - kgday2018. The values for each variable are all scaled relative to the maximum but can be multiplied by mult. Points will only be plotted where there is a value. An NA will result in a missing point. If only the location of an active grid is wanted then set loconly = TRUE, otherwise the relative value in x will be used to set the size of the point up to a maximum size of mult.

1 2	mapgrid(view, dat, x = "days2012", mult = 2, col = 2, loconly = FALSE, infill = col, inpch = 21)

`view`	the length 4 vector with c(left,right,up, down) that acts as a window over Tasmania; if view = NA then the data from the input data.frame are plotted rather than using view to select the data.
`dat`	the data.frame from which to select the 1 hectare grids within the given view
`x`	the name of the variable selected; default = "days2012"
`mult`	the multiplier on the size of the point plotted; default = 2
`col`	the colour of each point; default = 2 (red)
`loconly`	a logical value determining whether to plot only the location or a proxy for the relative value of the chosen x; the default = FALSE so mapgrid will plot the relative value
`infill`	the background colour filling open symbols like pch=1; defaults to incol
`inpch`	default = 21, but can be changed to any valid symbol

invisibly returns the records selected by getpoints

## Not run: 
 # ab <- readRDS(paste0(datadir,"G1Ha_2018_10_23.rds"))#get spatial obj
 # abdat <- getlatlong(ab)     # convert to data.frame + lat long

## End(Not run)

haddonm/abspatial documentation built on June 7, 2019, 9:54 a.m.