Создание картограмм на принципах грамматики графики

С помощью R-расширения ggmap

Александр Матрунич

24 района Псковской области

> ggplot(data, aes(x = area_km2, y = population_2010)) + geom_point()

> ggplot(data, aes(x = area_km2, y = population_2010)) + geom_point()

> ggplot(data, aes(x = area_km2, y = population_2010)) + stat_identity()

> ggplot(data, aes(x = area_km2, y = population_2010)) + stat_identity()

> ggplot(data, aes(area_km2, population_2010)) + geom_point()

> ggplot(data, aes(area_km2, population_2010)) + geom_point()

> qplot(area_km2, population_2010, data = data, geom = 'point')

> ggplot(data, aes(area_km2, population_2010)) + geom_smooth()

> ggplot(data, aes(area_km2, population_2010)) + geom_smooth()

> ggplot(data, aes(area_km2, population_2010)) + geom_smooth() + geom_point()

> ggplot(data, aes(area_km2, population_2010)) + geom_smooth()

> ggplot(data, aes(area_km2, population_2010)) + geom_smooth() + geom_point()

> ggplot(data, aes(area_km2, population_2010, size = crop_product)) + geom_point()

> ggplot(data, aes(area_km2, population_2010, size = crop_product)) + geom_point()

> ggplot(data, aes(area_km2, population_2010, size = crop_product, color = retail_mln_rub)) + geom_point()

100 прекрасных мертвецовtkachi.com/100_prekrasnih_mertvetsov.jsp

> head(builds) x y start_date end_date start_develop2 use11 30.29113 59.93009 NA 2006 NA laboratory 2 30.35050 59.91288 1840 2005 2008 residential3 30.28010 59.92663 1865 2004 NA residential4 30.38010 59.92752 1878 2005 2007 residential5 30.29055 59.90604 1902 2007 NA residential6 30.28252 59.93762 1835 2005 2008 residential

spbmap <- qmap('Санкт-Петербург', zoom = 12, source = 'osm', colour = 'bw')

spbmap + geom_point(data = builds, aes(x = x, y = y, colour = start_date, size = start_date))

spbmap + geom_point(data = builds, aes(x = x, y = y, colour = start_date, size = start_date))

spbmap + stat_bin2d(data = builds, aes(x = x, y = y), alpha = .5, bins = 15, colour='black')

spbmap + stat_bin2d(data = builds, aes(x = x, y = y), alpha = .5, bins = 15, colour='black')

spbmap + stat_density2d(data = builds, aes(x = x, y = y, fill = ..level.., alpha = ..level..), geom = 'polygon')

spbmap + stat_density2d(data = builds, aes(x = x, y = y, fill = ..level.., alpha = ..level..), geom = 'polygon') + facet_wrap( ~ use)

Что дальше?●ggmap: Google как основа

●Геокодирование●Маршруты

●ggsubplot

●www.r-project.org●www.ggplot2.org●sites.google.com/site/davidkahle/ggmap

Александр Матруничwww.matrunich.com