@@ -9,7 +9,7 @@ GCAM_land %>%
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gather_years() %> %
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filter(year == 2020 , grepl(" forest|shrub|grass" , LandLeaf )) %> %
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mutate(LandLeaf = gsub(" \\ (|\\ )" , " " , LandLeaf )) %> %
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- spread(LandLeaf , value ) %> %
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+ spread(LandLeaf , value , fill = 0 ) %> %
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transmute(region , year , GCAM_FOR_MGMT = `forest managed` , GCAM_FOR_UnMGMT = `forest unmanaged` ,
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GCAM_FOR = GCAM_FOR_MGMT + GCAM_FOR_UnMGMT , GCAM_shrubs = shrubs , GCAM_grass = grass ) %> %
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left_join(
@@ -23,6 +23,7 @@ GCAM_land %>%
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A %> %
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group_by() %> %
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summarize(FAO_FOR = sum(FAO_FOR , na.rm = T ),
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+ GCAM_shrubs = sum(GCAM_shrubs , na.rm = T ),
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GCAM_FOR = sum(GCAM_FOR ))
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library(ggplot2 )
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fill = " Source" ) +
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theme(axis.text.x = element_text(angle = 90 , hjust = 1 , vjust = 0.5 )) - > p
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- ggsave(plot = p ,filename = " ForestAreaCompare.png" , width = 11 , height = 10 )
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+ ggsave(plot = p ,filename = " data-raw/ForestAreaCompare.png" , width = 11 , height = 10 )
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+
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+
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+ A %> %
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+ select(region , year , FAO_FOR , GCAM_FOR , GCAM_shrubs ) %> %
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+ mutate(Diff = GCAM_FOR + GCAM_shrubs - FAO_FOR ) %> %
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+ # gather(source, value, FAO_FOR, GCAM_FOR) %>%
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+ ggplot() +
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+ geom_bar(aes(x = reorder(region , Diff ), y = FAO_FOR , fill = " FAO" ), stat = " identity" , color = " black" ) +
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+ geom_point(aes(x = region , y = GCAM_FOR + GCAM_shrubs , fill = " GCAM" ), shape = 21 , size = 4 ) +
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+ theme_bw() +
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+ labs(x = " Region" , y = " Thous km2" ,
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+ title = " Forest area: GCAM (forest + shrub) vs. FAO" , subtitle = " Global: GCAM (4.17 Bha) vs. FAO (4.05 Bha) " ,
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+ fill = " Source" ) +
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+ theme(axis.text.x = element_text(angle = 90 , hjust = 1 , vjust = 0.5 )) - > p
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+
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+ ggsave(plot = p ,filename = " data-raw/ForestShrubAreaCompare.png" , width = 11 , height = 10 )
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