Created
June 9, 2019 14:23
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| library(tidyverse) | |
| library(sf) | |
| # Data from hri.fi | |
| districts <- st_read("PKS_Kartta_Rajat_KML2011/PKS_suuralue.kml") | |
| hki <- districts %>% | |
| filter(Name %in% c("Eteläinen", "Itäinen","Läntinen","Kaakkoinen", | |
| "Keskinen","Pohjoinen","Koillinen")) %>% | |
| mutate(Name_en = case_when( | |
| Name == "Eteläinen" ~ "South", | |
| Name == "Itäinen" ~ "East", | |
| Name == "Läntinen" ~ "West", | |
| Name == "Kaakkoinen" ~ "South East", | |
| Name == 'Keskinen' ~ "Center", | |
| Name == 'Pohjoinen' ~ "North", | |
| Name == "Koillinen" ~ "North East" | |
| )) | |
| trees <- readRDS("hki_trees.RDS") | |
| # https://gist.github.com/andrewheiss/0580d6ffec37b6bc4d0ae8e77bf30956 | |
| t2 <- trees %>% | |
| st_transform(crs = 4326) | |
| t2_with_lat_lon <- cbind(t2, st_coordinates(t2)) | |
| rm(trees) | |
| rm(t2) | |
| gc() | |
| p <- ggplot(hki) + geom_sf() | |
| p <- p + geom_sf_text(aes(label = Name_en), colour = "Black") | |
| p <- p + geom_sf(data = trees[1:5000,], color= alpha("darkgreen", 0.3)) + | |
| labs(title = 'Sample of trees in Helsinki and their location', | |
| subtitle = "District boundaries don't show the shoreline in S/SE") + | |
| theme(axis.title = element_blank()) | |
| p | |
| ggsave( | |
| "yleiskuva.png", | |
| units = "cm", | |
| width = 25, | |
| height = 30 | |
| ) | |
| p <- ggplot() + | |
| stat_density2d(data = t2_with_lat_lon, | |
| aes(x = X, y = Y, fill = ..density..), | |
| geom = 'tile', contour = F, alpha = .5) + | |
| scale_fill_viridis_c() + | |
| labs(title = 'The density of trees is biggest in Taka-Töölö', | |
| fill = str_c('Nr or', '\ntrees')) + | |
| theme(axis.text = element_blank(), | |
| axis.title = element_blank(), | |
| axis.ticks = element_blank()) + | |
| guides(fill = guide_legend(override.aes = list(alpha = 1))) | |
| p | |
| ggsave( | |
| "puut.png", | |
| units = "cm", | |
| width = 20, | |
| height = 20 | |
| ) | |
| common_trees <- t2_with_lat_lon %>% | |
| group_by(suku) %>% | |
| mutate(lkm = n()) %>% | |
| filter(lkm >= 1400) | |
| ggplot() + | |
| stat_density2d(data = common_trees, | |
| aes(x = X, y = Y, | |
| fill = stat(nlevel)), | |
| geom = 'polygon') + | |
| labs(title = 'The most common tree families in Helsinki', | |
| subtitle = str_c('Upper row: linden (lehmus), maple (vaahtera), birch (koivu), elm (jalava)\n', | |
| 'Lower row: rowan (pihlaja), oak (tammi), pine (mänty), alder (leppä)'), | |
| fill = 'Density') + | |
| theme(axis.text = element_blank(), | |
| axis.title = element_blank(), | |
| axis.ticks = element_blank()) + | |
| facet_wrap(. ~ reorder(common_trees$suku, -common_trees$lkm), ncol = 4) + | |
| scale_fill_viridis_c() | |
| ggsave( | |
| "tiheys.png", | |
| units = "cm", | |
| width = 30, | |
| height = 25 | |
| ) |
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