@@ -15,6 +15,7 @@ knitr::opts_chunk$set(echo = TRUE)
1515
1616``` {r}
1717library(googlesheets)
18+ library(dplyr)
1819(my_sheets <- gs_ls())
1920metadata_gs <- googlesheets::gs_url("https://docs.google.com/spreadsheets/d/1s-kQc3K0h4-hfwMzKOU_zpRXN5loByIpKW8Rvw76mh0")
2021
@@ -59,7 +60,7 @@ boundingbox <- rbind(elevation[longitude > -111.975][latitude == max(latitude)],
5960 elevation[longitude < -111.975][latitude == max(latitude)],
6061 elevation[longitude > -111.975][latitude == max(latitude)])
6162
62- write.csv(boundingbox, " /tmp/ macboundingbox.csv" , row.names = FALSE)
63+ write.csv(boundingbox, " macboundingbox.csv" , row.names = FALSE)
6364
6465` ` `
6566
@@ -76,6 +77,7 @@ write.csv(boundingbox, "/tmp/macboundingbox.csv", row.names = FALSE)
7677
7778require(udunits2)
7879library(dplyr)
80+ library(tidyr)
7981library(ggplot2)
8082
8183x_origin = 0
@@ -95,8 +97,8 @@ x <- x_origin + (1:columns - 1) * dx
9597y < - y_origin + (1:ranges - 1) * (length + alley)
9698
9799grid < - data.frame(expand.grid(x,y)) %> %
98- transmute(plot = 1:(ranges* columns), x1 = Var1, y1 = Var2, x2 = x1 + dx, y2 = y1 + dy) %> %
99- tidyr::gather(key = ' lat' , )
100+ transmute(plot = 1:(ranges* columns), x1 = Var1, y1 = Var2, x2 = x1 + dx, y2 = y1 + dy) # %>%
101+ # tidyr::gather(key = 'lat', )
100102
101103
102104theme_set(theme_bw ())
@@ -110,7 +112,10 @@ ggplot(data = grid) +
110112grid2 < - grid %> % gather(key, value = x, starts_with(" x" )) %> % gather(key2, value = y, starts_with(" y" )) %> % select(-starts_with(" key" )) %> % arrange(plot) %> % setDT
111113
112114library(spatstat)
113- plots < - grid2[,polygon(as.data.frame(spatstat::bounding.box.xy(x, y))),by= plot]
115+ library(wellknown)
116+ plots < - grid2[,wellknown::polygon(as.data.frame(spatstat::bounding.box.xy(x, y))), by= plot]
117+ write.csv(grid, file = ' 20160421_grid.csv' )
118+ write.csv(plots, file = ' 20160421_plots.csv' )
114119
115120` ` `
116121
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