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changed chunk parameters and commented out sections that were not running correctly (HTTP 504)
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traits/05-maricopa-field-scanner.Rmd

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@@ -23,7 +23,7 @@ options(betydb_key = readLines('.betykey', warn = FALSE),
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First, query the plots for Season 2. The simple way to use this is based on the fact that the plot names at Maricopa contain the season.
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```{r traits-05-query-mac-sites}
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```{r traits-05-query-mac-sites, echo = TRUE}
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sites <- betydb_query(
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table = "sites",
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city = "Maricopa", sitename = "~Season 2 range", limit = "none")
@@ -33,10 +33,10 @@ A more robust (but complicated way) would be to query the experiments and experi
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### Plot Season 2 plots
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```{r traits-05-map-mac-polygons}
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```{r traits-05-map-mac-polygons, echo = TRUE}
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site_bounds <- (sites
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%>% rowwise()
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%>% do(boundaries = readWKT(text = .$geometry, id = .$id)))
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%>% rowwise()
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%>% do(boundaries = readWKT(text = .$geometry, id = .$id)))
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site_bounds <- do.call('rbind', site_bounds$boundaries)
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#names(site_bounds) <- sites$sitename
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addPolygons(data=site_bounds, popup = sites$sitename)
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```
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```{r}
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## Cultivars
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```
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```{r traits-05-mac-cultivars}
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cultivars <- betydb_query(
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table = "cultivars", limit = "none") %>%
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rename(cultivar_id = id)
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traits <- traits <- betydb_search(
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Season = "~Season 4",
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include_unchecked = 'true',
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limit = "none") %>%
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rename(trait_id = id)
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#cultivars <- betydb_query(
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# table = "cultivars", limit = "none") %>%
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# rename(cultivar_id = id)
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# getting HTTP 504 - Gateway timeout
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# comment this chunk out
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#traits <- traits <- betydb_search(
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# Season = "~Season 4",
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# include_unchecked = 'true',
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# limit = "none") %>%
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# rename(trait_id = id)
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```
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```{r}
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## Time series of canopy cover, height, NDVI
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First look up variables by name. Let's look for measurements related to canopy size:
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#First look up variables by name. Let's look for measurements related to canopy size:
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```
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```{r traits-05-height-cover-ndvi}
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variables <- betydb_query(
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table = "variables", name = "~^(NDVI|canopy_height|canopy_cover|)$")
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#variables <- betydb_query(
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# table = "variables", name = "~^(NDVI|canopy_height|canopy_cover|)$")
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variables %>%
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select(id, name, units, n_records = `number of associated traits`)
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#variables %>%
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# select(id, name, units, n_records = `number of associated traits`)
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```
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Exercise: Why are there two variables named canopy_height, and what database fields should you examine to decide which one you want?
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```{r}
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#Exercise: Why are there two variables named canopy_height, and what database fields should you examine to decide which one you want?
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```
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```{r traits-05-get-variables-comment}
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