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added output via pander for wilderness tables, removed plots (for now)
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@ -917,102 +917,44 @@ So what did I discover? The results were inconclusive. First, it is important to
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```{r wilderness_table}
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# Calculate number of groups within polygons
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# TODO: run on additional shapefiles
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# TODO: more efficient code using do.call() function or sapply() as here https://stackoverflow.com/questions/3642535/creating-an-r-dataframe-row-by-row
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# Sample code for use below
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# sum(apply(st_within(pow_pointX_sf, st_buffer(sssi, dist = 50), sparse=FALSE), 1, any))
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# sum(apply(st_within(pow_pointX_sf, sssi, sparse=FALSE), 1, any))
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titles <- c("Within SSSIs", "...50m", "...500m")
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ecs_wilderness_row <- c(sum(apply(st_within(ecs_sf, sssi, sparse=FALSE), 1, any)), sum(apply(st_within(ecs_sf, st_buffer(sssi, dist = 50), sparse=FALSE), 1, any)), sum(apply(st_within(ecs_sf, st_buffer(sssi, dist = 500), sparse=FALSE), 1, any)))
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ecs_wilderness_row
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ecs_wilderness_row <- rbind(titles, ecs_wilderness_row)
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pow_wilderness_row <- c(sum(apply(st_within(pow_pointX_sf, sssi, sparse=FALSE), 1, any)), sum(apply(st_within(pow_pointX_sf, st_buffer(sssi, dist = 50), sparse=FALSE), 1, any)), sum(apply(st_within(pow_pointX_sf, st_buffer(sssi, dist = 500), sparse=FALSE), 1, any)))
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pow_wilderness_row
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sssi_counts <- rbind(ecs_wilderness_row, pow_wilderness_row)
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dtas_wilderness_row <- c(sum(apply(st_within(dtas_sf, sssi, sparse=FALSE), 1, any)), sum(apply(st_within(dtas_sf, st_buffer(sssi, dist = 50), sparse=FALSE), 1, any)), sum(apply(st_within(dtas_sf, st_buffer(sssi, dist = 500), sparse=FALSE), 1, any)))
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dtas_wilderness_row
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sssi_counts <- rbind(sssi_counts, dtas_wilderness_row)
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transition_wilderness_row <- c(sum(apply(st_within(transition_sf, sssi, sparse=FALSE), 1, any)), sum(apply(st_within(transition_sf, st_buffer(sssi, dist = 50), sparse=FALSE), 1, any)), sum(apply(st_within(transition_sf, st_buffer(sssi, dist = 500), sparse=FALSE), 1, any)))
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transition_wilderness_row
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sssi_counts <- rbind(sssi_counts, transition_wilderness_row)
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permaculture_wilderness_row <- c(sum(apply(st_within(permaculture_sf, sssi, sparse=FALSE), 1, any)), sum(apply(st_within(permaculture_sf, st_buffer(sssi, dist = 50), sparse=FALSE), 1, any)), sum(apply(st_within(permaculture_sf, st_buffer(sssi, dist = 500), sparse=FALSE), 1, any)))
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permaculture_wilderness_row
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sssi_counts <- rbind(sssi_counts, permaculture_wilderness_row)
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# Output mmd tables using pander
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panderOptions("digits", 2)
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pander(sssi_counts)
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```
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```{r wilderness_plots}
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# Plot SSSI polygons with ECS points (using sp, for now)
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ggplot() +
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geom_polygon(aes(x = long, y = lat, group = group),
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data = sssi_sp,
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colour = 'black',
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alpha = .7,
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size = .005) +
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geom_point(aes(X, Y, fill = NULL, group = NULL), size = 1, data=ecs_df,
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colour = "black",
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fill = "white",
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size = .15,
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stroke = .002,
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alpha = .6,
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show.legend = TRUE) +
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labs(x = NULL, y = NULL, fill = "Groups",
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title = "Figure 11",
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subtitle="Sites of Special Scientific Interest with points marked",
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caption = paste("Jeremy H. Kidwell :: jeremykidwell.info",
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"Data: UK Data Service (OGL) & Jeremy H. Kidwell",
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"You may redistribute this graphic under the terms of the CC-by-SA 4.0 license.",
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sep = "\n"))
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# # ggplot using sf seems to be severely broken for now. Commenting out and reverting to sp
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# if (utils::packageVersion("ggplot2") > "2.2.1")
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# ggplot() + geom_sf(data = sssi) +
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# geom_point(aes(X, Y, fill = NULL, group = NULL), size = 1, data=ecs_df,
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# colour = "black",
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# fill = "white",
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# size = .3,
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# stroke = .1,
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# show.legend = FALSE) +
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# labs(x = NULL,
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# title = "Figure 11",
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# subtitle="Sites of Special Scientific Interest with points marked",
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# caption = paste("Jeremy H. Kidwell :: jeremykidwell.info",
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# "Data: UK Data Service (OGL) & Jeremy H. Kidwell",
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# "You may redistribute this graphic under the terms of the CC-by-SA 4.0 license.",
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# sep = "\n"))
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# Plot Forest Inventory
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ggplot() +
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geom_polygon(aes(x = long, y = lat, group = group),
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data = forest_inventory_sp,
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colour = 'black',
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alpha = .7,
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size = .005) +
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geom_point(aes(X, Y, fill = NULL, group = NULL), size = 1, data=ecs_df,
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colour = "black",
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fill = "white",
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size = .15,
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stroke = .002,
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alpha = .6,
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show.legend = TRUE) +
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labs(x = NULL, y = NULL, fill = "Groups",
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title = "Figure 11",
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subtitle="Sites of Special Scientific Interest with points marked",
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caption = paste("Jeremy H. Kidwell :: jeremykidwell.info",
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"Data: UK Data Service (OGL) & Jeremy H. Kidwell",
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"You may redistribute this graphic under the terms of the CC-by-SA 4.0 license.",
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sep = "\n"))
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# # ggplot using sf seems to be severely broken for now. Commenting out and reverting to sp
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# ggplot() +
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# geom_sf(data = forest_inventory)
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```
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@ -15,9 +15,12 @@ if (file.exists("data/National_Forest_Inventory_Woodland_Scotland_2017.shp") ==
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forest_inventory <- st_read("data/National_Forest_Inventory_Woodland_Scotland_2017.shp")
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forest_inventory_sp <- readOGR("./data", "National_Forest_Inventory_Woodland_Scotland_2017")
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system.time(
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ggplot() +
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geom_sf(data = forest_inventory)
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)
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system.time(
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ggplot() +
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geom_polygon(data = forest_inventory_sp)
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)
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66
wilderness_plots.R
Normal file
66
wilderness_plots.R
Normal file
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@ -0,0 +1,66 @@
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# Plot SSSI polygons with ECS points (using sp, for now)
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ggplot() +
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geom_polygon(aes(x = long, y = lat, group = group),
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data = sssi_sp,
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colour = 'black',
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alpha = .7,
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size = .005) +
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geom_point(aes(X, Y, fill = NULL, group = NULL), size = 1, data=ecs_df,
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colour = "black",
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fill = "white",
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size = .15,
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stroke = .002,
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alpha = .6,
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show.legend = TRUE) +
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labs(x = NULL, y = NULL, fill = "Groups",
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title = "Figure 11",
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subtitle="Sites of Special Scientific Interest with points marked",
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caption = paste("Jeremy H. Kidwell :: jeremykidwell.info",
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"Data: UK Data Service (OGL) & Jeremy H. Kidwell",
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"You may redistribute this graphic under the terms of the CC-by-SA 4.0 license.",
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sep = "\n"))
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# # ggplot using sf seems to be severely broken for now. Commenting out and reverting to sp
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# if (utils::packageVersion("ggplot2") > "2.2.1")
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# ggplot() + geom_sf(data = sssi) +
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# geom_point(aes(X, Y, fill = NULL, group = NULL), size = 1, data=ecs_df,
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# colour = "black",
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# fill = "white",
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# size = .3,
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# stroke = .1,
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# show.legend = FALSE) +
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# labs(x = NULL,
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# title = "Figure 11",
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# subtitle="Sites of Special Scientific Interest with points marked",
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# caption = paste("Jeremy H. Kidwell :: jeremykidwell.info",
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# "Data: UK Data Service (OGL) & Jeremy H. Kidwell",
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# "You may redistribute this graphic under the terms of the CC-by-SA 4.0 license.",
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# sep = "\n"))
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# Plot Forest Inventory
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ggplot() +
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geom_polygon(aes(x = long, y = lat, group = group),
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data = forest_inventory_sp,
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colour = 'black',
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alpha = .7,
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size = .005) +
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geom_point(aes(X, Y, fill = NULL, group = NULL), size = 1, data=ecs_df,
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colour = "black",
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fill = "white",
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size = .15,
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stroke = .002,
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alpha = .6,
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show.legend = TRUE) +
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labs(x = NULL, y = NULL, fill = "Groups",
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title = "Figure 11",
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subtitle="Sites of Special Scientific Interest with points marked",
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caption = paste("Jeremy H. Kidwell :: jeremykidwell.info",
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"Data: UK Data Service (OGL) & Jeremy H. Kidwell",
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"You may redistribute this graphic under the terms of the CC-by-SA 4.0 license.",
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sep = "\n"))
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# # ggplot using sf seems to be severely broken for now. Commenting out and reverting to sp
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# ggplot() +
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# geom_sf(data = forest_inventory)
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