Centering Plots and Renderings

[mrworthington]

Hi Tyler,

I'm brand new to rayshader, so forgive me if this issue is more appropriate for rayrender, but here's my issue:

I'm trying to render an elevation of Texas using plot_3d(), but I can't seem to center the object. As a result, anytime it renders (either as render_snapshot() or as render_highquality()), it ends up in the upper-left hand corner of the screen and I'm not sure how to get the object to render in the center of the screen.

Is there a way to center the objects? I've posted a reprex below the images.

Resulting Images

plot_3d()

render_snapshot()

render_highquality()

Code Used to Produce These Images

library(tigris)
#> To enable 
#> caching of data, set `options(tigris_use_cache = TRUE)` in your R script or .Rprofile.
library(rayshader)
library(elevatr)
library(raster)
#> Loading required package: sp
library(sf)
#> Warning: package 'sf' was built under R version 4.1.1
#> Linking to GEOS 3.9.1, GDAL 3.2.3, PROJ 7.2.1
library(tidyverse)
#> Warning: package 'ggplot2' was built under R version 4.1.1
#> Warning: package 'tibble' was built under R version 4.1.1
#> Warning: package 'readr' was built under R version 4.1.1
texas <- tigris::states() |>
  filter(NAME == "Texas") |> 
  st_transform(4326)
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dem <- get_elev_raster(texas, z = 7)
#> Mosaicing & Projecting
#> Note: Elevation units are in meters.
dem_tx <- mask(dem, texas)
mat_tx <- raster_to_matrix(dem_tx)
mat_tx_reduced <- resize_matrix(mat_tx, 0.7)

mat_tx_reduced |>
  sphere_shade(texture = create_texture(lightcolor = "#F1ECD7",
                                        shadowcolor = "#333f48",
                                        leftcolor = "#bf5700",
                                        rightcolor = "#005f86",
                                        centercolor = "#9cadb7",
                                        cornercolors = c(NW = "#ffc500",
                                                         NE = "#387642",
                                                         SW = "#d27441",
                                                         SE = "#296176")),
               colorintensity=0.12,
               sunangle = 10) |>
  add_water(detect_water(mat_tx_reduced)) |>
  plot_3d(mat_tx_reduced,
          windowsize = c(800, 600),
          zscale = 5,
          zoom = 0.65,
          phi = 80,
          theta = 0,
          fov = 0,
          shadow = TRUE,
          shadowcolor = "#5da5da",
          water = TRUE,
          watercolor= "lightblue",
          waterlinecolor="lightblue")

  render_camera(zoom=0.4)

  render_snapshot(filename="texas_test.png",
                  title_text = "Texas",
                  title_offset = c(20,20),
                  title_color = "#2d2d2d",
                  title_size = 35,
                  title_font = "Gotham",
                  title_bar_alpha = 0.5,
                  title_position = "northwest",
                  bring_to_front = TRUE,
                  vignette = 0.2,
                  webshot = TRUE,
                  width = 2000,
                  height = 2000,
                  background = "#5da5da")

  render_highquality(filename = "texas.png", samples = 10, width = 6000, height = 6000)

^{Created on 2021-09-15 by the reprex package (v2.0.1)}

[tylermorganwall]

Does the underlying raster contain a lot of NA values? The 3D map will be centered on the bounding box of the extent of the underlying elevation data. If there's a large amount of NA values south and east of the land, it will include those values while centering the 3D data.

[mrworthington]

Hey! I guess it did have some kind of underlying NAs in the elevation data. Although I wasn't sure how to actually check for NAs, I used the clip="bbox" argument when I pulled the elevation data and that fixed everything. Is there a recommended way to inspect elevation data for NAs?

[tylermorganwall]

One easy way is to plot a boolean matrix, e.g.

plot_map(is.na(mat_tx_reduced))