{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Intro to R\n", "[NetCDF](#NetCDF) | [Time slices](#Time-slices) | [Multiple variables](#Multiple-variables) |[Multiple sites](#Multiple-sites) | [Using functions](#Using-functions) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As a demo of the language, plot sin and cos on the same axis:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# set up the default plot height and width (this is just for aesthetics in the jupyter notebook, you won't need it in RStudio)\n", "library('repr')\n", "options(repr.plot.width=6, repr.plot.height=5)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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by)\n", "x = seq(0, 6*pi, 0.1)\n", "\n", "# plot the sin of these points\n", "plot(x, sin(x), type=\"l\", col=\"blue\")\n", "\n", "# add a cos line to the plot\n", "lines(x, cos(x), col=\"red\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# NetCDF\n", "[NetCDF](#NetCDF) | [Summary stats](#Summary-stats) | [Time slices](#Time-slices) | [Multiple variables](#Multiple-variables) |[Multiple sites](#Multiple-sites) | [Using functions](#Using-functions)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The easiest way to load and analyze NetCDF data in R involves the [ncdf4 package](https://cran.r-project.org/web/packages/ncdf4/ncdf4.pdf \"ncdf4 Docs\"). If you know the url of the dataset that you are interested in, you can display the info about that datset using **nc_open(data_url)** and then printing the outcome. To work with the file, we will assign that dataset to a name -in this example we will use **nc**. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "library('ncdf4')\n", "\n", "data_url <- 'http://hydromet-thredds.princeton.edu:9000/thredds/dodsC/MonitoringStations/butler.nc'\n", "variable <- 'AirTC_Avg'\n", "\n", "nc <- nc_open(data_url)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you want to check out the names of the variables in this NetCDF file, you can run:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
    \n", "\t
  1. 'AirTC_2_Avg'
  2. \n", "\t
  3. 'AirTC_Avg'
  4. \n", "\t
  5. 'Albedo_1_Avg'
  6. \n", "\t
  7. 'Albedo_Avg'
  8. \n", "\t
  9. 'CmCIR_Avg'
  10. \n", "\t
  11. 'CmGIR_Avg'
  12. \n", "\t
  13. 'DnTot_Avg'
  14. \n", "\t
  15. 'IR01DnCo_Avg'
  16. \n", "\t
  17. 'IR01Dn_Avg'
  18. \n", "\t
  19. 'IR01UpCo_Avg'
  20. \n", "\t
  21. 'IR01Up_Avg'
  22. \n", "\t
  23. 'LPO2Dn_Avg'
  24. \n", "\t
  25. 'Max_Run_Tot_mm_24hr_Max'
  26. \n", "\t
  27. 'Max_Run_Tot_mm_2hr_Max'
  28. \n", "\t
  29. 'NR01TC_Avg'
  30. \n", "\t
  31. 'NR01TK_Avg'
  32. \n", "\t
  33. 'NetRl_Avg'
  34. \n", "\t
  35. 'NetRs_Avg'
  36. \n", "\t
  37. 'NetTot_Avg'
  38. \n", "\t
  39. 'PA_uS'
  40. \n", "\t
  41. 'PA_uS_2'
  42. \n", "\t
  43. 'PA_uS_3'
  44. \n", "\t
  45. 'PA_uS_4'
  46. \n", "\t
  47. 'RECORD'
  48. \n", "\t
  49. 'RH'
  50. \n", "\t
  51. 'RHCroof'
  52. \n", "\t
  53. 'RH_2'
  54. \n", "\t
  55. 'Rain_mm_2_Tot'
  56. \n", "\t
  57. 'Rain_mm_3600_Tot'
  58. \n", "\t
  59. 'Rain_mm_3_Tot'
  60. \n", "\t
  61. 'Rain_mm_Tot'
  62. \n", "\t
  63. 'SBT_C_2_Avg'
  64. \n", "\t
  65. 'SBT_C_Avg'
  66. \n", "\t
  67. 'SR01Dn_Avg'
  68. \n", "\t
  69. 'SR01Up_Avg'
  70. \n", "\t
  71. 'Storm_Type_mm_24hr'
  72. \n", "\t
  73. 'Storm_Type_mm_2hr'
  74. \n", "\t
  75. 'T108_C_Avg_11'
  76. \n", "\t
  77. 'T108_C_Avg_12'
  78. \n", "\t
  79. 'T108_C_Avg_13'
  80. \n", "\t
  81. 'T108_C_Avg_14'
  82. \n", "\t
  83. 'T108_C_Avg_15'
  84. \n", "\t
  85. 'T108_C_Avg_16'
  86. \n", "\t
  87. 'T108_roof10_Avg'
  88. \n", "\t
  89. 'T108_roof1_Avg'
  90. \n", "\t
  91. 'T108_roof2_Avg'
  92. \n", "\t
  93. 'T108_roof3_Avg'
  94. \n", "\t
  95. 'T108_roof4_Avg'
  96. \n", "\t
  97. 'T108_roof5_Avg'
  98. \n", "\t
  99. 'T108_roof6_Avg'
  100. \n", "\t
  101. 'T108_roof7_Avg'
  102. \n", "\t
  103. 'T108_roof8_Avg'
  104. \n", "\t
  105. 'T108_roof9_Avg'
  106. \n", "\t
  107. 'TCAV_1_Avg'
  108. \n", "\t
  109. 'TCAV_2_Avg'
  110. \n", "\t
  111. 'TCAV_3_Avg'
  112. \n", "\t
  113. 'TCAV_4_Avg'
  114. \n", "\t
  115. 'TCroof_Avg'
  116. \n", "\t
  117. 'UpTot_Avg'
  118. \n", "\t
  119. 'VW'
  120. \n", "\t
  121. 'VW_2'
  122. \n", "\t
  123. 'VW_3'
  124. \n", "\t
  125. 'VW_4'
  126. \n", "\t
  127. 'WindDir_deg'
  128. \n", "\t
  129. 'WindDir_std_dev'
  130. \n", "\t
  131. 'WindSpd_ms'
  132. \n", "\t
  133. 'hfp01_10_Avg'
  134. \n", "\t
  135. 'hfp01_11_Avg'
  136. \n", "\t
  137. 'hfp01_12_Avg'
  138. \n", "\t
  139. 'hfp01_1_Avg'
  140. \n", "\t
  141. 'hfp01_2_Avg'
  142. \n", "\t
  143. 'hfp01_3_Avg'
  144. \n", "\t
  145. 'hfp01_4_Avg'
  146. \n", "\t
  147. 'hfp01_5_Avg'
  148. \n", "\t
  149. 'hfp01_6_Avg'
  150. \n", "\t
  151. 'hfp01_7_Avg'
  152. \n", "\t
  153. 'hfp01_8_Avg'
  154. \n", "\t
  155. 'hfp01_9_Avg'
  156. \n", "\t
  157. 'lat'
  158. \n", "\t
  159. 'lon'
  160. \n", "\t
  161. 'station_name'
  162. \n", "
\n" ], "text/latex": [ "\\begin{enumerate*}\n", "\\item 'AirTC_2_Avg'\n", "\\item 'AirTC_Avg'\n", "\\item 'Albedo_1_Avg'\n", "\\item 'Albedo_Avg'\n", "\\item 'CmCIR_Avg'\n", "\\item 'CmGIR_Avg'\n", "\\item 'DnTot_Avg'\n", "\\item 'IR01DnCo_Avg'\n", "\\item 'IR01Dn_Avg'\n", "\\item 'IR01UpCo_Avg'\n", "\\item 'IR01Up_Avg'\n", "\\item 'LPO2Dn_Avg'\n", "\\item 'Max_Run_Tot_mm_24hr_Max'\n", "\\item 'Max_Run_Tot_mm_2hr_Max'\n", "\\item 'NR01TC_Avg'\n", "\\item 'NR01TK_Avg'\n", "\\item 'NetRl_Avg'\n", "\\item 'NetRs_Avg'\n", "\\item 'NetTot_Avg'\n", "\\item 'PA_uS'\n", "\\item 'PA_uS_2'\n", "\\item 'PA_uS_3'\n", "\\item 'PA_uS_4'\n", "\\item 'RECORD'\n", "\\item 'RH'\n", "\\item 'RHCroof'\n", "\\item 'RH_2'\n", "\\item 'Rain_mm_2_Tot'\n", "\\item 'Rain_mm_3600_Tot'\n", "\\item 'Rain_mm_3_Tot'\n", "\\item 'Rain_mm_Tot'\n", "\\item 'SBT_C_2_Avg'\n", "\\item 'SBT_C_Avg'\n", "\\item 'SR01Dn_Avg'\n", "\\item 'SR01Up_Avg'\n", "\\item 'Storm_Type_mm_24hr'\n", "\\item 'Storm_Type_mm_2hr'\n", "\\item 'T108_C_Avg_11'\n", "\\item 'T108_C_Avg_12'\n", "\\item 'T108_C_Avg_13'\n", "\\item 'T108_C_Avg_14'\n", "\\item 'T108_C_Avg_15'\n", "\\item 'T108_C_Avg_16'\n", "\\item 'T108_roof10_Avg'\n", "\\item 'T108_roof1_Avg'\n", "\\item 'T108_roof2_Avg'\n", "\\item 'T108_roof3_Avg'\n", "\\item 'T108_roof4_Avg'\n", "\\item 'T108_roof5_Avg'\n", "\\item 'T108_roof6_Avg'\n", "\\item 'T108_roof7_Avg'\n", "\\item 'T108_roof8_Avg'\n", "\\item 'T108_roof9_Avg'\n", "\\item 'TCAV_1_Avg'\n", "\\item 'TCAV_2_Avg'\n", "\\item 'TCAV_3_Avg'\n", "\\item 'TCAV_4_Avg'\n", "\\item 'TCroof_Avg'\n", "\\item 'UpTot_Avg'\n", "\\item 'VW'\n", "\\item 'VW_2'\n", "\\item 'VW_3'\n", "\\item 'VW_4'\n", "\\item 'WindDir_deg'\n", "\\item 'WindDir_std_dev'\n", "\\item 'WindSpd_ms'\n", "\\item 'hfp01_10_Avg'\n", "\\item 'hfp01_11_Avg'\n", "\\item 'hfp01_12_Avg'\n", "\\item 'hfp01_1_Avg'\n", "\\item 'hfp01_2_Avg'\n", "\\item 'hfp01_3_Avg'\n", "\\item 'hfp01_4_Avg'\n", "\\item 'hfp01_5_Avg'\n", "\\item 'hfp01_6_Avg'\n", "\\item 'hfp01_7_Avg'\n", "\\item 'hfp01_8_Avg'\n", "\\item 'hfp01_9_Avg'\n", "\\item 'lat'\n", "\\item 'lon'\n", "\\item 'station_name'\n", "\\end{enumerate*}\n" ], "text/markdown": [ "1. 'AirTC_2_Avg'\n", "2. 'AirTC_Avg'\n", "3. 'Albedo_1_Avg'\n", "4. 'Albedo_Avg'\n", "5. 'CmCIR_Avg'\n", "6. 'CmGIR_Avg'\n", "7. 'DnTot_Avg'\n", "8. 'IR01DnCo_Avg'\n", "9. 'IR01Dn_Avg'\n", "10. 'IR01UpCo_Avg'\n", "11. 'IR01Up_Avg'\n", "12. 'LPO2Dn_Avg'\n", "13. 'Max_Run_Tot_mm_24hr_Max'\n", "14. 'Max_Run_Tot_mm_2hr_Max'\n", "15. 'NR01TC_Avg'\n", "16. 'NR01TK_Avg'\n", "17. 'NetRl_Avg'\n", "18. 'NetRs_Avg'\n", "19. 'NetTot_Avg'\n", "20. 'PA_uS'\n", "21. 'PA_uS_2'\n", "22. 'PA_uS_3'\n", "23. 'PA_uS_4'\n", "24. 'RECORD'\n", "25. 'RH'\n", "26. 'RHCroof'\n", "27. 'RH_2'\n", "28. 'Rain_mm_2_Tot'\n", "29. 'Rain_mm_3600_Tot'\n", "30. 'Rain_mm_3_Tot'\n", "31. 'Rain_mm_Tot'\n", "32. 'SBT_C_2_Avg'\n", "33. 'SBT_C_Avg'\n", "34. 'SR01Dn_Avg'\n", "35. 'SR01Up_Avg'\n", "36. 'Storm_Type_mm_24hr'\n", "37. 'Storm_Type_mm_2hr'\n", "38. 'T108_C_Avg_11'\n", "39. 'T108_C_Avg_12'\n", "40. 'T108_C_Avg_13'\n", "41. 'T108_C_Avg_14'\n", "42. 'T108_C_Avg_15'\n", "43. 'T108_C_Avg_16'\n", "44. 'T108_roof10_Avg'\n", "45. 'T108_roof1_Avg'\n", "46. 'T108_roof2_Avg'\n", "47. 'T108_roof3_Avg'\n", "48. 'T108_roof4_Avg'\n", "49. 'T108_roof5_Avg'\n", "50. 'T108_roof6_Avg'\n", "51. 'T108_roof7_Avg'\n", "52. 'T108_roof8_Avg'\n", "53. 'T108_roof9_Avg'\n", "54. 'TCAV_1_Avg'\n", "55. 'TCAV_2_Avg'\n", "56. 'TCAV_3_Avg'\n", "57. 'TCAV_4_Avg'\n", "58. 'TCroof_Avg'\n", "59. 'UpTot_Avg'\n", "60. 'VW'\n", "61. 'VW_2'\n", "62. 'VW_3'\n", "63. 'VW_4'\n", "64. 'WindDir_deg'\n", "65. 'WindDir_std_dev'\n", "66. 'WindSpd_ms'\n", "67. 'hfp01_10_Avg'\n", "68. 'hfp01_11_Avg'\n", "69. 'hfp01_12_Avg'\n", "70. 'hfp01_1_Avg'\n", "71. 'hfp01_2_Avg'\n", "72. 'hfp01_3_Avg'\n", "73. 'hfp01_4_Avg'\n", "74. 'hfp01_5_Avg'\n", "75. 'hfp01_6_Avg'\n", "76. 'hfp01_7_Avg'\n", "77. 'hfp01_8_Avg'\n", "78. 'hfp01_9_Avg'\n", "79. 'lat'\n", "80. 'lon'\n", "81. 'station_name'\n", "\n", "\n" ], "text/plain": [ " [1] \"AirTC_2_Avg\" \"AirTC_Avg\" \n", " [3] \"Albedo_1_Avg\" \"Albedo_Avg\" \n", " [5] \"CmCIR_Avg\" \"CmGIR_Avg\" \n", " [7] \"DnTot_Avg\" \"IR01DnCo_Avg\" \n", " [9] \"IR01Dn_Avg\" \"IR01UpCo_Avg\" \n", "[11] \"IR01Up_Avg\" \"LPO2Dn_Avg\" \n", "[13] \"Max_Run_Tot_mm_24hr_Max\" \"Max_Run_Tot_mm_2hr_Max\" \n", "[15] \"NR01TC_Avg\" \"NR01TK_Avg\" \n", "[17] \"NetRl_Avg\" \"NetRs_Avg\" \n", "[19] \"NetTot_Avg\" \"PA_uS\" \n", "[21] \"PA_uS_2\" \"PA_uS_3\" \n", "[23] \"PA_uS_4\" \"RECORD\" \n", "[25] \"RH\" \"RHCroof\" \n", "[27] \"RH_2\" \"Rain_mm_2_Tot\" \n", "[29] \"Rain_mm_3600_Tot\" \"Rain_mm_3_Tot\" \n", "[31] \"Rain_mm_Tot\" \"SBT_C_2_Avg\" \n", "[33] \"SBT_C_Avg\" \"SR01Dn_Avg\" \n", "[35] \"SR01Up_Avg\" \"Storm_Type_mm_24hr\" \n", "[37] \"Storm_Type_mm_2hr\" \"T108_C_Avg_11\" \n", "[39] \"T108_C_Avg_12\" \"T108_C_Avg_13\" \n", "[41] \"T108_C_Avg_14\" \"T108_C_Avg_15\" \n", "[43] \"T108_C_Avg_16\" \"T108_roof10_Avg\" \n", "[45] \"T108_roof1_Avg\" \"T108_roof2_Avg\" \n", "[47] \"T108_roof3_Avg\" \"T108_roof4_Avg\" \n", "[49] \"T108_roof5_Avg\" \"T108_roof6_Avg\" \n", "[51] \"T108_roof7_Avg\" \"T108_roof8_Avg\" \n", "[53] \"T108_roof9_Avg\" \"TCAV_1_Avg\" \n", "[55] \"TCAV_2_Avg\" \"TCAV_3_Avg\" \n", "[57] \"TCAV_4_Avg\" \"TCroof_Avg\" \n", "[59] \"UpTot_Avg\" \"VW\" \n", "[61] \"VW_2\" \"VW_3\" \n", "[63] \"VW_4\" \"WindDir_deg\" \n", "[65] \"WindDir_std_dev\" \"WindSpd_ms\" \n", "[67] \"hfp01_10_Avg\" \"hfp01_11_Avg\" \n", "[69] \"hfp01_12_Avg\" \"hfp01_1_Avg\" \n", "[71] \"hfp01_2_Avg\" \"hfp01_3_Avg\" \n", "[73] \"hfp01_4_Avg\" \"hfp01_5_Avg\" \n", "[75] \"hfp01_6_Avg\" \"hfp01_7_Avg\" \n", "[77] \"hfp01_8_Avg\" \"hfp01_9_Avg\" \n", "[79] \"lat\" \"lon\" \n", "[81] \"station_name\" " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "names(nc$var)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this example we are first going to take a look at the average air temperature **'AirTC_Avg'**" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": false }, "outputs": [], "source": [ "AirT.data <- ncvar_get(nc, variable)\n", "AirT.units <- ncatt_get(nc, variable, 'units')$value" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1] \"seconds since 1970-01-01\"\n" ] } ], "source": [ "time.data <- ncvar_get(nc, 'time')\n", "time.units <- ncatt_get(nc, 'time', 'units')$value\n", "print(time.units)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this NetCDF file the time units tell us that time is stored as seconds since 1970-01-01. That time format is often called POSIX time. To convert to a more legible time format, we can use the **as.POSIXct** function. Make sure to specify that the timezone we want to use is UTC, otherwise the function will use your local timezone, which can get confusing. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# convert the time to a date string\n", "time <- as.POSIXct(time.data, origin=\"1970-01-01\", tz=\"UTC\")" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "data": { "image/png": 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"\n", " \n", " \n", "\n", "\n", " \n", " \n", "\n", "\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n" ], "text/plain": [ "plot without title" ] }, "metadata": { "image/svg+xml": { "isolated": true } }, "output_type": "display_data" } ], "source": [ "plot(time, AirT.data, type=\"l\", col=\"blue\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now you should be familiar with the basics of how to access NetCDF files. To move forward with the next examples make sure that you have run the following commands:" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": true }, "outputs": [], "source": [ "library('ncdf4')\n", "data_url <- 'http://hydromet-thredds.princeton.edu:9000/thredds/dodsC/MonitoringStations/butler.nc'\n", "\n", "nc <- nc_open(data_url)\n", "time.data <- ncvar_get(nc, 'time')\n", "time <- as.POSIXct(time.data, origin=\"1970-01-01\", tz=\"UTC\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Summary stats\n", "[NetCDF](#NetCDF) | [Summary stats](#Summary-stats) | [Time slices](#Time-slices) | [Multiple variables](#Multiple-variables) |[Multiple sites](#Multiple-sites) | [Using functions](#Using-functions)\n", "\n", "Once you have loaded the ncfile and chosen a variable to look at, you can create boxplots and compute the summary statistics on that variable over the entire span of the data." ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", " -17.90 4.99 13.39 12.96 20.99 40.77 " ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "summary(AirT.data)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Whiskers by default in R stretch between:\n", " - Q3 + 1.5 * IQR\n", "\n", " - Q1 - 1.5 * IQR" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", " \n", "\n", "\n", " \n", " \n", "\n", "\n", " \n", " \n", "\n", "\n", " \n", " \n", "\n", "\n", "\n", "\n" ], "text/plain": [ "plot without title" ] }, "metadata": { "image/svg+xml": { "isolated": true } }, "output_type": "display_data" } ], "source": [ "#make a dataframe object\n", "DF <-data.frame(time, AirT.data)\n", "DF$month <- factor(strftime(DF$time,\"%b\"),levels=month.abb)\n", "\n", "# draw boxplot with no outliers\n", "boxplot(AirT.data~month,DF, outline=FALSE)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Time slices\n", "[NetCDF](#NetCDF) | [Summary stats](#Summary-stats) | [Time slices](#Time-slices) | [Multiple variables](#Multiple-variables) |[Multiple sites](#Multiple-sites) | [Using functions](#Using-functions)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We often are more interested in looking at one particular time, rather than the whole record. To avoid loading all of the data, it is best to slice by the index of the time variable. " ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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find numerical indexers using timestamps\n", "start <- which(time==\"2016-01-01\")\n", "count <- which(time==\"2016-01-31\") - start\n", "\n", "# select a slice using numerical indexers\n", "AirT <- ncvar_get(nc,'AirTC_Avg', start, count)\n", "t <- time[start:(start+count-1)]\n", "\n", "# define a dataframe with time as the names of the rows and air temp as the data\n", "a_month <- data.frame(t, AirT)\n", "\n", "# do the same for a week\n", "start <- which(time==\"2015-07-06 00:00:00\")\n", "count <- which(time==\"2015-07-13 00:00:00\") - start\n", "AirT <- ncvar_get(nc,variable, start, count)\n", "t <- time[start:(start+count-1)]\n", "a_week <- data.frame(t, AirT)\n", "\n", "# plot\n", "layout(matrix(1:2, ncol = 2))\n", "with(a_month, plot(AirT~t, type=\"l\", col=\"blue\", main='A month'))\n", "with(a_week, plot(AirT~t, type=\"l\", col=\"blue\", main='A week'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Multiple variables\n", "[NetCDF](#NetCDF) | [Summary stats](#Summary-stats) | [Time slices](#Time-slices) | [Multiple variables](#Multiple-variables) |[Multiple sites](#Multiple-sites) | [Using functions](#Using-functions)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We often are more interested in looking at one particular time, rather than the whole record. To avoid loading all of the data, it is best to slice by the index of the time variable. " ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"start = which(time==\"2015-07-06\")\n", "count = which(time==\"2015-07-13\") - start\n", "\n", "Rain = ncvar_get(nc,'Rain_mm_3_Tot', start, count)\n", "VW = ncvar_get(nc,'VW', start, count)\n", "t = time[start:(start+count-1)]\n", "\n", "vars_for_a_week = data.frame(t, Rain, VW)\n", "\n", "par(mar=c(5,4,4,5)+.1)\n", "with(vars_for_a_week, plot(Rain~t,type=\"l\",col=\"blue\"))\n", "par(new=TRUE)\n", "\n", "with(vars_for_a_week, plot(VW~t,type=\"l\",col=\"red\",xaxt=\"n\",yaxt=\"n\",xlab=\"\",ylab=\"\"))\n", "axis(4)\n", "mtext(\"Volumetric Water (%)\",side=4,line=3)\n", "legend(\"topleft\",col=c(\"red\",\"blue\"),lty=1,legend=c(\"Rain\",\"VW\"))" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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", 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"\n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", " \n", "\n", "\n", "\n" ], "text/plain": [ "Plot with title “Volumetric Water (%)”" ] }, "metadata": { "image/svg+xml": { "isolated": true } }, "output_type": "display_data" } ], "source": [ "# 2 figures arranged in 2 rows and 1 column\n", "layout(matrix(1:2, ncol = 1))\n", "\n", "# set margins (bottom, left, top, right)\n", "par(mar = c(1, 4, 4, 2))\n", "with(vars_for_a_week, plot(Rain~t, type = 'l', col='blue', xaxt = 'n', bty=\"n\", main = 'Rainfall (mm)'))\n", "\n", "# set margins (bottom, left, top, right)\n", "par(mar = c(4, 4, 1, 2))\n", "with(vars_for_a_week, plot(VW~t, type = 'l', col='red', bty = \"l\", main = 'Volumetric Water (%)'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Multiple sites\n", "[NetCDF](#NetCDF) | [Summary stats](#Summary-stats) | [Time slices](#Time-slices) | [Multiple variables](#Multiple-variables) |[Multiple sites](#Multiple-sites) | [Using functions](#Using-functions)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": true }, "outputs": [], "source": [ "data_url = 'http://hydromet-thredds.princeton.edu:9000/thredds/dodsC/MonitoringStations/broadmead.nc'\n", "\n", "nc = nc_open(data_url)\n", "time.data = ncvar_get(nc, 'time')\n", "time = as.POSIXct(time.data, origin=\"1970-01-01\", tz=\"UTC\")\n", "\n", "start = which(time==\"2016-02-23 12:00\")\n", "count = which(time==\"2016-02-26 12:00\") - start\n", "\n", "Rain1 = ncvar_get(nc,'Rain_1_mm_Tot', start, count)\n", "Rain2 = ncvar_get(nc,'Rain_2_mm_Tot', start, count)\n", "t = time[start:(start+count-1)]\n", "broadmead_rain = data.frame(t, Rain1, Rain2)\n", "\n", "nc_close(nc)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": true }, "outputs": [], "source": [ "data_url = 'http://hydromet-thredds.princeton.edu:9000/thredds/dodsC/MonitoringStations/washington_up.nc'\n", "\n", "nc = nc_open(data_url)\n", "time.data = ncvar_get(nc, 'time')\n", "time = as.POSIXct(time.data, origin=\"1970-01-01\", tz=\"UTC\")\n", "\n", "start = which(time==\"2016-02-23 12:00\")\n", "count = which(time==\"2016-02-26 12:00\") - start\n", "\n", "level = ncvar_get(nc,'Corrected_cm_Avg', start, count)\n", "t = time[start:(start+count-1)]\n", "washington_up_level = data.frame(t, level)\n", "\n", "nc_close(nc)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [], "source": [ "data_url = 'http://hydromet-thredds.princeton.edu:9000/thredds/dodsC/MonitoringStations/washington_down.nc'\n", "\n", "nc = nc_open(data_url)\n", "time.data = ncvar_get(nc, 'time')\n", "time = as.POSIXct(time.data, origin=\"1970-01-01\", tz=\"UTC\")\n", "\n", "start = which(time==\"2016-02-23 12:00\")\n", "count = which(time==\"2016-02-26 12:00\") - start\n", "\n", "level = ncvar_get(nc,'Corrected_cm_Avg', start, count)\n", "t = time[start:(start+count-1)]\n", "washington_down_level = data.frame(t, level)\n", "\n", "nc_close(nc)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": true }, "outputs": [], "source": [ "data_url = 'http://hydromet-thredds.princeton.edu:9000/thredds/dodsC/MonitoringStations/washington_lake.nc'\n", "\n", "nc = nc_open(data_url)\n", "time.data = ncvar_get(nc, 'time')\n", "time = as.POSIXct(time.data, origin=\"1970-01-01\", tz=\"UTC\")\n", "\n", "start = which(time==\"2016-02-23 12:00\")\n", "count = which(time==\"2016-02-26 12:00\") - start\n", "\n", "level = ncvar_get(nc,'Lvl_cm_Avg', start, count)\n", "t = time[start:(start+count-1)]\n", "washington_lake_level = data.frame(t, level)\n", "\n", "nc_close(nc)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "data": { "image/png": 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"display_data" } ], "source": [ "layout(matrix(1:2, ncol = 1))\n", "\n", "par(mar = c(1, 4, 4, 2))\n", "with(broadmead_rain, plot(Rain1~t, type = 'l', col='blue', xaxt = 'n', bty=\"n\",main = '5min Rainfall (mm)'))\n", "with(broadmead_rain, lines(Rain2~t, col=\"red\"))\n", "\n", "par(mar = c(4, 4, 1, 2))\n", "with((washington_up_level - washington_up_level[1,2]), plot(level~t, type = 'l', col=\"red\", bty = \"l\", main = 'Water level minus baseflow (cm)'))\n", "with((washington_down_level - washington_down_level[1,2]),lines(level~t, col=\"blue\"))\n", "with((washington_lake_level - washington_lake_level[1,2]),lines(level~t, col=\"green\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using functions\n", "[NetCDF](#NetCDF) | [Summary stats](#Summary-stats) | [Time slices](#Time-slices) | [Multiple variables](#Multiple-variables) |[Multiple sites](#Multiple-sites) | [Using functions](#Using-functions)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You might have noticed that the way we pulled data from a multiple datasets was redundant. To simplify this process, we can write a quick function that can be used to pull from any site, any variable and setting your own start and end times. To show how this works, we will do the same exercise that we just did above, but in many fewer lines:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": true }, "outputs": [], "source": [ "select <- function(site, variable, start.time, end.time){\n", " library('ncdf4')\n", " \n", " data_url = paste0('http://hydromet-thredds.princeton.edu:9000/thredds/dodsC/MonitoringStations/',site,'.nc')\n", "\n", " nc = nc_open(data_url)\n", " time.data = ncvar_get(nc, 'time')\n", " time = as.POSIXct(time.data, origin=\"1970-01-01\", tz=\"UTC\")\n", "\n", " start = which(time==start.time)\n", " count = which(time==end.time) - start\n", " var = ncvar_get(nc, variable, start, count)\n", " t = time[start:(start+count-1)]\n", " df = data.frame(t, var)\n", " colnames(df) <- c('t',variable)\n", "\n", " nc_close(nc)\n", " return(df)\n", " }" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Functions can be defined from the command line as we did above, but it is often more helpful to save them in files that we can use again and again. The above function is saved in a file called **select_time_slice.R**. To load the function from there first make sure that you are in the same folder as **select_time_slice.R**, then run:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": true }, "outputs": [], "source": [ "source('select_time_slice.R')" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": false }, "outputs": [], "source": [ "broadmead_rain1 = select('broadmead', 'Rain_1_mm_Tot', \"2016-02-23 12:00\", \"2016-02-26 12:00\")\n", "broadmead_rain2 = select('broadmead', 'Rain_2_mm_Tot', \"2016-02-23 12:00\", \"2016-02-26 12:00\")\n", "washington_up_level = select('washington_up', 'Corrected_cm_Avg', \"2016-02-23 12:00\", \"2016-02-26 12:00\")\n", "washington_down_level = select('washington_down', 'Corrected_cm_Avg', \"2016-02-23 12:00\", \"2016-02-26 12:00\")\n", "washington_lake_level = select('washington_lake', 'Lvl_cm_Avg', \"2016-02-23 12:00\", \"2016-02-26 12:00\")" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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", 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"\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", " \n", "\n", "\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "Plot with title “Water level minus baseflow (cm)”" ] }, "metadata": { "image/svg+xml": { "isolated": true } }, "output_type": "display_data" } ], "source": [ "layout(matrix(1:2, ncol = 1))\n", "\n", "par(mar = c(1, 4, 4, 2))\n", "with(broadmead_rain1, plot(Rain_1_mm_Tot~t, type = 'l', col='blue', xaxt = 'n', bty=\"n\",main = '5min Rainfall (mm)'))\n", "with(broadmead_rain2, lines(Rain_2_mm_Tot~t, col=\"red\"))\n", "\n", "par(mar = c(4, 4, 1, 2))\n", "with((washington_up_level - washington_up_level[1,2]), plot(Corrected_cm_Avg~t, type = 'l', col=\"red\", bty = \"l\", main = 'Water level minus baseflow (cm)'))\n", "with((washington_down_level - washington_down_level[1,2]),lines(Corrected_cm_Avg~t, col=\"blue\"))\n", "with((washington_lake_level - washington_lake_level[1,2]),lines(Lvl_cm_Avg~t, col=\"green\"))" ] } ], "metadata": { "kernelspec": { "display_name": "R", "language": "R", "name": "ir" }, "language_info": { "codemirror_mode": "r", "file_extension": ".r", "mimetype": "text/x-r-source", "name": "R", "pygments_lexer": "r", "version": "3.2.2" } }, "nbformat": 4, "nbformat_minor": 0 }