{"size":{"Width":700,"Height":525},"appearance":{"background":null,"padding":14,"font":{"family":"Courier New","size":10.0,"bold":false,"italic":false,"underline":false,"strikeout":false,"color":"rgb(0,72,168)"},"border":{"on":true,"size":0.0,"style":"solid","color":"#666"},"text":{"wrap":false,"hAlign":"left","vAlign":"top"}},"outputType":"WIDGET","widgetState":null,"outputs":{"console":"<pre class='debug-source'>&gt;# SOURCE\n</pre>\n<pre class='debug-source'>&gt;# https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;library(rgdal)\n</pre>\n<pre class='debug-message'>Loading required package: sp\n</pre>\n<pre class='debug-message'>rgdal: version: 1.3-4, (SVN revision 766)\n Geospatial Data Abstraction Library extensions to R successfully loaded\n Loaded GDAL runtime: GDAL 2.1.3, released 2017/20/01\n Path to GDAL shared files: /usr/share/gdal/2.1\n GDAL binary built with GEOS: TRUE \n Loaded PROJ.4 runtime: Rel. 4.9.2, 08 September 2015, [PJ_VERSION: 492]\n Path to PROJ.4 shared files: (autodetected)\n Linking to sp version: 1.3-1 \n</pre>\n<pre class='debug-source'>&gt;library(threejs)\n</pre>\n<pre class='debug-message'>Loading required package: igraph\n</pre>\n<pre class='debug-message'>\nAttaching package: &#39;igraph&#39;\n\n</pre>\n<pre class='debug-message'>The following objects are masked from &#39;package:stats&#39;:\n\n decompose, spectrum\n\n</pre>\n<pre class='debug-message'>The following object is masked from &#39;package:base&#39;:\n\n union\n\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;# Obtain lat/long coordinates and model values as a data.frame\n</pre>\n<pre class='debug-source'>&gt;x &lt;- data.frame(reclong, reclat, `mass (g)`, age)\n</pre>\n<pre class='debug-source'>&gt;x &lt;- x[Meteorite_Landings.csv$Questions$fall == &quot;Fell&quot;, ]\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;names(x) &lt;- c(&quot;long&quot;,&quot;lat&quot;,&quot;value&quot;, &quot;age&quot;)\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;colors &lt;- as.numeric(\n cut(x$age,\n breaks=quantile(x$age,\n probs=seq(0, 1, 0.1),\n include.lowest=TRUE,\n na.rm = TRUE)))\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;#splits &lt;- c(0, 5, 10, 20, 50, 100, 1000, 2000)\n</pre>\n<pre class='debug-source'>&gt;#colors &lt;- cut(age, splits)\n</pre>\n<pre class='debug-source'>&gt;#colors &lt;- as.numeric(as.factor(colors))\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;#table(colors)\n</pre>\n<pre class='debug-source'>&gt;#stop()\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;library(flipChartBasics)\n</pre>\n<pre class='debug-source'>&gt;palette &lt;- ChartColors(10, &quot;Reds&quot;, reverse = TRUE)\n</pre>\n<pre class='debug-source'>&gt;colors &lt;- palette[colors]\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;# Remove ocean areas and NA values\n</pre>\n<pre class='debug-source'>&gt;#x &lt;- x[x$value &lt; 255,]\n</pre>\n<pre class='debug-source'>&gt;#x &lt;- na.exclude(x)\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;# Cut the values up into levels corresponding to the\n</pre>\n<pre class='debug-source'>&gt;# 99th, 95th, 90th, percentiles and then all the rest.\n</pre>\n<pre class='debug-source'>&gt;#x$q &lt;- as.numeric(\n</pre>\n<pre class='debug-source'>&gt;# cut(x$value,\n</pre>\n<pre class='debug-source'>&gt;# breaks=quantile(x$value, probs=c(0,0.90,0.95,0.99,1)),\n</pre>\n<pre class='debug-source'>&gt;# include.lowest=TRUE))\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;# Colors for each level\n</pre>\n<pre class='debug-source'>&gt;#col = c(&quot;#0055ff&quot;,&quot;#00aaff&quot;,&quot;#00ffaa&quot;,&quot;#aaff00&quot;)[x$q]\n</pre>\n<pre class='debug-source'>&gt;\n</pre>\n<pre class='debug-source'>&gt;# bling out the data\n</pre>\n<pre class='debug-source'>&gt;globejs(lat=x$lat, long=x$long,\n val=2 * log(x$value), \n color=colors,\n pointsize=0.5,\n atmosphere=TRUE)\n</pre>\r\n<div class=\"debug-summarystatistics\">\r\n<table>\r\n<tr><th>Total time:</th><td>1.00s</td></tr>\r\n<tr><th>Time on R server:</th><td title=\"rApacheServe 0.97s (pre 0.03s, post 0.00s) httpget_code() setup for eval 0.00s session$eval 0.79s (pre 0.00s, post 0.08s) unexplained 0.18s apparmor forking (pre 0.00s, post 0.00s)\">0.97s</td></tr>\r\n<tr><th>Time evaluating code:</th><td>0.61s</td></tr>\r\n<tr><th>Bytes sent:</th><td>1,512,547</td></tr>\r\n<tr><th>Bytes received:</th><td>175,852</td></tr>\r\n</table>\r\n</div>","message":"Loading required package: sp\n\r\nrgdal: version: 1.3-4, (SVN revision 766)\n Geospatial Data Abstraction Library extensions to R successfully loaded\n Loaded GDAL runtime: GDAL 2.1.3, released 2017/20/01\n Path to GDAL shared files: /usr/share/gdal/2.1\n GDAL binary built with GEOS: TRUE \n Loaded PROJ.4 runtime: Rel. 4.9.2, 08 September 2015, [PJ_VERSION: 492]\n Path to PROJ.4 shared files: (autodetected)\n Linking to sp version: 1.3-1 \n\r\nLoading required package: igraph\n\r\n\nAttaching package: 'igraph'\n\n\r\nThe following objects are masked from 'package:stats':\n\n decompose, spectrum\n\n\r\nThe following object is masked from 'package:base':\n\n union\n\n","htmlwidgets":"<div id=\"htmlwidget_container\">\n <div id=\"htmlwidget-90106bfccf4bd961802a\" style=\"width:960px;height:500px;\" class=\"globe html-widget\"></div>\n</div>\n<script type=\"application/json\" 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SOURCE\n# https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh\n\nlibrary(rgdal)\nlibrary(threejs)\n\n# Obtain lat/long coordinates and model values as a data.frame\nx <- data.frame(reclong, reclat, `mass (g)`, age)\nx <- x[Meteorite_Landings.csv$Questions$fall == \"Fell\", ]\n\nnames(x) <- c(\"long\",\"lat\",\"value\", \"age\")\n\n\ncolors <- as.numeric(\n cut(x$age,\n breaks=quantile(x$age,\n probs=seq(0, 1, 0.1),\n include.lowest=TRUE,\n na.rm = TRUE)))\n\n#splits <- c(0, 5, 10, 20, 50, 100, 1000, 2000)\n#colors <- cut(age, splits)\n#colors <- as.numeric(as.factor(colors))\n\n#table(colors)\n#stop()\n\nlibrary(flipChartBasics)\npalette <- ChartColors(10, \"Reds\", reverse = TRUE)\ncolors <- palette[colors]\n\n# Remove ocean areas and NA values\n#x <- x[x$value < 255,]\n#x <- na.exclude(x)\n\n# Cut the values up into levels corresponding to the\n# 99th, 95th, 90th, percentiles and then all the rest.\n#x$q <- as.numeric(\n# cut(x$value,\n# breaks=quantile(x$value, probs=c(0,0.90,0.95,0.99,1)),\n# include.lowest=TRUE))\n\n# Colors for each level\n#col = c(\"#0055ff\",\"#00aaff\",\"#00ffaa\",\"#aaff00\")[x$q]\n\n# bling out the data\nglobejs(lat=x$lat, long=x$long,\n val=2 * log(x$value), \n color=colors,\n pointsize=0.5,\n atmosphere=TRUE)","lastSavedCode":"# SOURCE\n# https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh\n\nlibrary(rgdal)\nlibrary(threejs)\n\n# Obtain lat/long coordinates and model values as a data.frame\nx <- data.frame(reclong, reclat, `mass (g)`, age)\nx <- x[Meteorite_Landings.csv$Questions$fall == \"Fell\", ]\n\nnames(x) <- c(\"long\",\"lat\",\"value\", \"age\")\n\n\ncolors <- as.numeric(\n cut(x$age,\n breaks=quantile(x$age,\n probs=seq(0, 1, 0.1),\n include.lowest=TRUE,\n na.rm = TRUE)))\n\n#splits <- c(0, 5, 10, 20, 50, 100, 1000, 2000)\n#colors <- cut(age, splits)\n#colors <- as.numeric(as.factor(colors))\n\n#table(colors)\n#stop()\n\nlibrary(flipChartBasics)\npalette <- ChartColors(10, \"Reds\", reverse = TRUE)\ncolors <- palette[colors]\n\n# Remove ocean areas and NA values\n#x <- x[x$value < 255,]\n#x <- na.exclude(x)\n\n# Cut the values up into levels corresponding to the\n# 99th, 95th, 90th, percentiles and then all the rest.\n#x$q <- as.numeric(\n# cut(x$value,\n# breaks=quantile(x$value, probs=c(0,0.90,0.95,0.99,1)),\n# include.lowest=TRUE))\n\n# Colors for each level\n#col = c(\"#0055ff\",\"#00aaff\",\"#00ffaa\",\"#aaff00\")[x$q]\n\n# bling out the data\nglobejs(lat=x$lat, long=x$long,\n val=2 * log(x$value), \n color=colors,\n pointsize=0.5,\n atmosphere=TRUE)","highlightedCodeSpans":[{"start":189,"length":7,"index":1},{"start":198,"length":6,"index":1},{"start":206,"length":10,"index":1},{"start":218,"length":3,"index":1},{"start":230,"length":37,"index":1}],"tableTransformations":"<TabularTransformer>\r\n <TabularTransform type=\"Truncation\" truncationHeaderType=\"Column\" />\r\n <TabularTransform 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