Retrieve Data from MacLeish Field Station

Download data from the Ada and Archibald MacLeish Field Station in Whately, MA. The Ada and Archibald MacLeish Field Station is a 260-acre patchwork of forest and farmland located in West Whately, MA that provides opportunities for faculty and students to pursue environmental research, outdoor education, and low-impact recreation (see < http://www.smith.edu/ceeds/macleish.php> for more information). This package contains weather data over several years, and spatial data on various man-made and natural structures.


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The Ada and Archibald MacLeish Field Station is a 260-acre patchwork of forest and farmland located in West Whately, MA that provides opportunities for faculty and students to pursue environmental research, outdoor education, and low-impact recreation. More information can be found at (http://www.smith.edu/ceeds/macleish.php)

MacLeish Field Station

This R package allows you to download and process weather data using the ETL framework from the MacLeish Field Station. It also contains shapefiles for contextualizing spatial information.

To install

install.packages("macleish")

Use 2015 weather data

Weather data from 2015 is available immediately from both the Whately and Orchard weather stations.

library(macleish)
glimpse(whately_2015)
## Variables: 8
## $ when            <dttm> 2015-01-01 00:00:00, 2015-01-01 00:10:00, 201...
## $ temperature     <dbl> -9.32, -9.46, -9.44, -9.30, -9.32, -9.34, -9.3...
## $ wind_speed      <dbl> 1.399, 1.506, 1.620, 1.141, 1.223, 1.090, 1.16...
## $ wind_dir        <dbl> 225.4, 248.2, 258.3, 243.8, 238.4, 241.7, 242....
## $ rel_humidity    <dbl> 54.55, 55.38, 56.18, 56.41, 56.87, 57.25, 57.7...
## $ pressure        <int> 985, 985, 985, 985, 984, 984, 984, 984, 984, 9...
## $ solar_radiation <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
## $ rainfall        <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
glimpse(orchard_2015)
## Observations: 52,547
## Variables: 9
## $ when         <dttm> 2015-01-01 00:00:00, 2015-01-01 00:10:00, 2015-0...
## $ temperature  <dbl> -9.62, -9.45, -9.52, -9.68, -9.56, -9.59, -9.51, ...
## $ wind_speed   <dbl> 0.490, 0.517, 0.576, 0.522, 0.296, 0.382, 0.497, ...
## $ wind_dir     <dbl> 216.3, 209.6, 215.5, 199.3, 186.4, 183.9, 195.6, ...
## $ rel_humidity <dbl> 61.97, 59.08, 58.69, 58.59, 57.32, 57.58, 56.97, ...
## $ pressure     <dbl> 1020, 1019, 1019, 1019, 1019, 1019, 1019, 1018, 1...
## $ par_density  <dbl> 0.548, 0.548, 0.548, 0.548, 0.548, 0.548, 0.548, ...
## $ par_total    <dbl> 0.088, 0.088, 0.088, 0.088, 0.088, 0.088, 0.088, ...
## $ rainfall     <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...

Live weather data

Weather readings are logged every 10 minutes. Current and historical (dating back to 1/3/2012 for whately and 6/27/2014 for orchard) meteorological readings are available through the ETL framework. Please see the documentation for that package for more information about how this works.

macleish <- etl("macleish")
macleish %>%
  etl_update()
whately <- macleish %>%
  tbl("whately")
whately %>%
  mutate(the_year = strftime('%Y', when)) %>%
  group_by(the_year) %>%
  summarize(N = n(), begin = min(when), end = max(when), avg_temp = mean(temperature))
orchard <- macleish %>%
  tbl("orchard")
orchard %>%
  mutate(the_year = strftime('%Y', when)) %>%
  group_by(the_year) %>%
  summarize(N = n(), begin = min(when), end = max(when), avg_temp = mean(temperature))
daily <- whately %>%
  mutate(the_date = date(when)) %>%
  group_by(the_date) %>%
  summarize(N = n(), avgTemp = mean(temperature)) %>%
  collect()
library(ggplot2)
ggplot(data = daily, aes(x = as.Date(the_date), y = avgTemp)) +
  geom_point() + geom_smooth()

Maps

Spatial data is available through the macleish_layers data object.

class(macleish_layers)
## [1] "list"
names(macleish_layers)
##  [1] "landmarks"         "forests"           "streams"          
##  [4] "challenge_courses" "buildings"         "wetlands"         
##  [7] "boundary"          "research"          "soil"             
## [10] "trails"
library(leaflet)
leaflet() %>%
  addTiles() %>%
  addPolygons(data = macleish_layers[["boundary"]], 
              weight = 1, fillOpacity = 0.1) %>%
  addPolygons(data = macleish_layers[["buildings"]], 
              weight = 1, popup = ~ name) %>%
  addPolylines(data = macleish_layers[["trails"]], 
               weight = 1, color = "brown",
               popup = ~ name) %>%
  addPolylines(data = macleish_layers[["streams"]], 
               weight = 2) %>%
  addMarkers(data = subset(macleish_layers[["landmarks"]], grepl("Met", Label)), 
             popup = ~Label)

News

macleish 0.3.2

  • Updated VignetteBuilder field for R-devel

macleish 0.3.1

  • Updated to include dbplyr
  • Correct bogus URL for BugReports
  • Removed etl_update() method since default works fine
  • Adopted etl::smart_download()
  • Fixed Nick's name in DESCRIPTION and added URL and Bug Reports
  • Added maple sap data
  • Added mass_gis() to retrieve GIS from MassGIS
  • Synchronized with etl version 0.3.6

macleish 0.3.0

  • Added a NEWS.md file to track changes to the package.

Reference manual

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install.packages("macleish")

0.3.2 by Benjamin S. Baumer, 2 months ago


http://github.com/beanumber/macleish


Report a bug at https://github.com/beanumber/macleish/issues


Browse source code at https://github.com/cran/macleish


Authors: Benjamin S. Baumer [aut, cre], Rose Goueth [aut], Wencong Li [aut], Weijia Zhang [aut], Nicholas Horton [aut]


Documentation:   PDF Manual  


CC0 license


Imports dplyr, lubridate, readr, sp, rgdal, rgeos

Depends on etl

Suggests ggplot2, dbplyr, RSQLite, broom, knitr, ggmap, leaflet, rmarkdown, mgcv, clifro, testthat


Suggested by etl, mdsr.


See at CRAN