{"version":3,"file":"npms-vis.umd.min.js","sources":["../jssrc/js/trendSummary.js","../jssrc/js/bsbi-examples.js","../jssrc/js/npms-trends1.js","../jssrc/index.js","../jssrc/js/main.js"],"sourcesContent":["import * as d3 from 'd3'\n\nconst $ = jQuery // eslint-disable-line no-undef\n\nexport function updateTrendSummary(id, d) {\n\n  if (d) {\n    $(`#${id}-swatches`).css('display', '') //.show()\n    $(`#${id}-no-trend`).css('display', 'none') //.hide()\n    setColour(`${id}_decline_strong`, d.declineStrong)\n    setColour(`${id}_decline_mod`, d.declineMod)\n    setColour(`${id}_stable`, d.stable)\n    setColour(`${id}_increase_mod`, d.increaseMod)\n    setColour(`${id}_increase_strong`, d.increaseStrong)\n  } else {\n    $(`#${id}-swatches`).css('display', 'none') //.hide()\n    $(`#${id}-no-trend`).css('display', '') //.show()\n  }\n\n  function setColour(id, val) {\n\n    d3.select(`#${id}`).attr('fill', `rgb(${255 - 255 * Number(val)/100},255,255)`)\n    const grey = 220 - Math.floor((val/100) * 220)\n    d3.select(`#${id}-path`).attr('fill', `rgb(${grey},${grey},${grey})`)\n\n    let title = d3.select(`#${id}`).select('title').attr('data-title')\n    d3.select(`#${id}`).select('title').text(`${title}: ${val}%`)\n    d3.select(`#${id}-path`).select('title').text(`${title}: ${val}%`)\n  }\n}\n\nexport function trendSummary(id, font, fontSize) {\n\n  const svgArrow = `M 2250 7256 l 0 -2813 l -61 -7 c -34 -3 -526 -6 -1093 -6 l -1031 -1 l 66 -62 c 36 -34 756 -714 1600 -1512 c 844 -797 1820 -1719 2169 -2049 c 349 -329 667 -630 705 -668 l 70 -68 l 230 217 c 1454 1373 3719 3512 4012 3790 l 373 353 l -1090 0 l -1090 0 l 0 2820 l 0 2820 l -2430 0 l -2430 0 l 0 -2814 z`\n  const svgSquare = `M 5 3968 c -3 -7 -4 -897 -3 -1978 l 3 -1965 l 2080 0 l 2080 0 l 0 1975 l 0 1975 l -2078 3 c -1657 2 -2079 0 -2082 -10 z`\n  const ss = 25\n  //const sr = 22\n\n  const swatches = [\n    {\n      svg: svgArrow,\n      scale: 0.6,\n      rot: 180,\n      text: `Strong decline`,\n      id: `${id}_decline_strong`,\n      da: [ss * 4]\n    },\n    {\n      svg: svgArrow,\n      scale: 0.4,\n      rot: 180,\n      text: `Moderate decline`,\n      id: `${id}_decline_mod`,\n      da: [ss*3, ss]\n    },\n    {\n      svg: svgSquare,\n      scale: 0.2,\n      rot: 45,\n      text: 'Stable',\n      id: `${id}_stable`,\n      da: [ss*3, ss]\n    },\n    {\n      svg: svgArrow,\n      scale: 0.4,\n      rot: 0,\n      text: `Moderate increase`,\n      id: `${id}_increase_mod`,\n      da: [ss*3, ss]\n    },\n    {\n      svg: svgArrow,\n      scale: 0.6,\n      rot: 0,\n      text: `Strong increase`,\n      id: `${id}_increase_strong`,\n      da: [ss*3, ss]\n    }\n  ]\n\n  // Graphic\n  const divParent = d3.select(`#${id}`)\n  const svg = divParent.append('svg')\n    .attr('width', ss * 5 + 2)\n    .attr('height', ss + 2)\n    .style('overflow', 'visible')\n    .style('vertical-align', 'bottom')\n\n  const gMain = svg.append('g')\n  gMain.attr('transform', 'translate(1 1)')\n  // Don't set display of gSwatches to 'none' here otherwise Firefox doesn't calculate bbox\n  const gSwatches = gMain.append('g').attr('id', `${id}-swatches`) //.style('display', 'none')\n  const tNoTrend = gMain.append('text').attr('id', `${id}-no-trend`).text('No trend').style('display', 'none')\n    .style('display', 'none')\n    .attr('text-anchor', 'middle')\n    .attr('x', ss * 5 / 2)\n    .attr('y', ss/2)\n    .attr('dominant-baseline', 'mathematical')\n\n  if (font) {\n    tNoTrend.style('font-family', font)\n    tNoTrend.style('font-size', fontSize)\n  }\n\n  gMain.append('rect')\n    .attr('width', ss * 5)\n    .attr('height', ss)\n    .attr('stroke','grey')\n    .attr('fill','none')\n    .style('vertical-align', 'bottom')\n\n  // Swatches\n  swatches.forEach((s,i) => {\n\n    const indicator = gSwatches.append('rect')\n      .attr('id', s.id)\n      .attr('width', ss)\n      .attr('height', ss)\n      .attr('x', i * ss)\n      .attr('fill', 'white')\n\n    indicator.append('title').attr('data-title', s.text).text(s.text)\n\n    if (s.svg) {\n      const path = gSwatches.append('path').attr('d', s.svg).style('visibility', 'hidden')\n      const svgbbox = path.node().getBBox()\n      path.remove()\n\n      // Note the order of the transformations is right to left\n      // in the translate clause\n      const iScale = (ss / svgbbox.width) * s.scale\n      const xAdj = i * ss + (ss - svgbbox.width * iScale)/2\n      const yAdj = (ss - svgbbox.height * iScale)/2\n      const xRot = ss/2 + i*ss\n      const yRot = ss/2\n\n      const symbol = gSwatches.append('path')\n        .attr('id', `${s.id}-path`)\n        .attr('d', s.svg)\n        .attr('transform', `\n          rotate(${s.rot}, ${xRot}, ${yRot})\n          translate(${xAdj} ${yAdj}) \n          scale(${iScale})\n        `)\n\n        symbol.append('title').text(s.text)\n    }\n  })\n\n  gSwatches.style('display', 'none')\n}\n\nexport async function trendSave(id, filename) {\n\n  const svg = d3.select(`#${id} svg`)\n\n  return new Promise((resolve) => {\n    const blob1 =  serialize(svg)\n    if(filename) {\n      download(blob1, filename)\n    }\n    resolve(blob1)\n  })\n\n  function download(data, filename) {\n    const dataUrl = URL.createObjectURL(data)\n    const file = `${filename}.svg`\n    downloadLink(dataUrl, file)\n  }\n\n  function serialize(svg) {\n    const xmlns = \"http://www.w3.org/2000/xmlns/\"\n    const xlinkns = \"http://www.w3.org/1999/xlink\"\n    const svgns = \"http://www.w3.org/2000/svg\"\n  \n    const domSvg = svg.node()\n    const cloneSvg = domSvg.cloneNode(true)\n    const d3Clone = d3.select(cloneSvg)\n    // Explicitly change text in clone to required font\n    d3Clone.selectAll('text').style('Minion Pro')\n  \n    cloneSvg.setAttributeNS(xmlns, \"xmlns\", svgns)\n    cloneSvg.setAttributeNS(xmlns, \"xmlns:xlink\", xlinkns)\n    const serializer = new window.XMLSerializer\n    const string = serializer.serializeToString(cloneSvg)\n    return new Blob([string], {type: \"image/svg+xml\"})\n  }\n\n  function downloadLink(dataUrl, file) {\n\n    // Create a link element\n    const link = document.createElement(\"a\")\n    // Set link's href to point to the data URL\n    link.href = dataUrl\n    link.download = file\n\n    // Append link to the body\n    document.body.appendChild(link)\n\n    // Dispatch click event on the link\n    // This is necessary as link.click() does not work on the latest firefox\n    link.dispatchEvent(\n      new MouseEvent('click', { \n        bubbles: true, \n        cancelable: true, \n        view: window \n      })\n    )\n    // Remove link from body\n    document.body.removeChild(link)\n  }\n}\n","import * as d3 from 'd3'\nimport { updateTrendSummary, trendSummary } from './trendSummary'\n\nconst $ = jQuery // eslint-disable-line no-undef\nconst ds = drupalSettings // eslint-disable-line no-undef\n\nexport function bsbiExamples() {\n\n  $( document ).ready(function() {\n    if ($('#bsbiApparency').length) bsbiApparencyChart()\n    if ($('#bsbiTimeTrend').length) bsbiSmoothedTrendChart()\n    if ($('#bsbiLinearTrends').length) bsbiComaptibleLinearTrendsChart()\n    if ($('#bsbiLinearSlopes').length) bsbiDensityChart()\n    if ($('#bsbiSlopeClassification').length) bsbiSlopeClassChart()\n    if ($('#bsbiSlopeSummary').length) bsbiSlopeSummaryChart()\n  })\n}\n\nfunction bsbiApparencyChart() {\n  // Apparency by latitude (PlantAltas phenology)\n  d3.csv(ds.npms_vis.dataRoot + '/bsbi-demo/2cd4p9h_etk.csv', function(d){\n    for (const p in d) {\n      if (p !== 'type') {\n        d[p] = Number(d[p])  // Ensures numeric columns from CSV are correctly typed\n      }\n      d.taxon = 'dummy'\n      d.period = d.week\n    }\n    return d\n  }).then(function(data){\n    //console.log(data.filter(d => d.type === 'count'))\n    const opts = {\n      selector: '#bsbiApparency',\n      data: data.filter(d => d.type === 'count'),\n      taxa: ['dummy'],\n      metrics: [\n        { prop: '50', label: '50', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n        { prop: '51', label: '51', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n        { prop: '52', label: '52', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n        { prop: '53', label: '53', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n        { prop: '54', label: '54', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n        { prop: '55', label: '55', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n        { prop: '56', label: '56', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n        { prop: '57', label: '57', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n        { prop: '58', label: '58', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n        { prop: '59', label: '59', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n        { prop: '60', label: '60', colour: 'rgb(0,128,0)', fill: 'rgb(221,255,221)'},\n      ],\n      showLegend: false,\n      showTaxonLabel: false,\n      interactivity: 'mousemove',\n      width: 350,\n      height: 400,\n      perRow: 1,\n      expand: false,\n      //missingValues: 'break', \n      metricExpression: '',\n      minMaxY: null,\n      minY: 0,\n      lineInterpolator: 'curveMonotoneX',\n      chartStyle: 'area',\n      composition: 'spread',\n      periodType: 'week',\n      axisLeftLabel: 'Latitude band',\n      margin: {left: 40, right: 0, top: 0, bottom: 15},\n    }\n    brccharts.temporal(opts)\n  })\n}\n\nfunction bsbiSmoothedTrendChart() {\n  // Smooth time trend chart (Fig 1 in PlantAltas trends)\n  const pBsbiGam = d3.csv(ds.npms_vis.dataRoot + '/bsbi-demo/cornish-heath-gb-gam.csv', function(d){\n    for (const p in d) {\n      if (p !== 'ddbid') {\n        d[p] = Number(d[p])  // Ensures numeric columns from CSV are correctly typed\n      }\n      d.taxon = 'dummy'\n      d.period = d.year\n    }\n    return d\n  })\n\n  const pBsbiMeans = d3.csv(ds.npms_vis.dataRoot + '/bsbi-demo/cornish-heath-gb-mean-sd.csv', function(d){\n    for (const p in d) {\n      if (p !== 'ddbid') {\n        d[p] = Number(d[p])  // Ensures numeric columns from CSV are correctly typed\n      }\n      d.period = d.year\n      d.taxon = 'dummy'\n      d.y = d.mean\n      d.upper = d.mean + d.std\n      d.lower = d.mean - d.std\n    }\n    return d\n  })\n  \n  \n  Promise.all([pBsbiGam, pBsbiMeans]).then(function(data){\n    console.log(data[0])\n    const opts = {\n      selector: '#bsbiTimeTrend',\n      data: data[0],\n      dataPoints: data[1],\n      taxa: ['dummy'],\n      metrics: [\n        { prop: 'x50', strokeWidth: 2, bandUpper: 'x95', bandLower: 'x5', colour: 'blue', bandFill: 'silver', bandFillOpacity: 0.1, bandStrokeOpacity: 0.3},\n      ],\n      showLegend: false,\n      showTaxonLabel: false,\n      interactivity: 'none',\n      width: 350,\n      height: 250,\n      perRow: 1,\n      expand: false,\n      //missingValues: 'break', \n      metricExpression: '',\n      minMaxY: null,\n      periodType: 'year',\n      lineInterpolator: 'curveMonotoneX',\n      chartStyle: 'line',\n      //composition: '',\n      axisLeftLabel: 'Relative frequency',\n      axisTop: 'on',\n      axisRight: 'on',\n      margin: {left: 45, right: 0, top: 0, bottom: 15},\n      xPadPercent: 5,\n      yPadPercent: 5\n    }\n    brccharts.temporal(opts)\n  })\n}\n\nfunction bsbiComaptibleLinearTrendsChart() {\n    // Compatible linear trends (Fig 2 in PlantAltas trends)\n    const pBsbiMeans = d3.csv(ds.npms_vis.dataRoot + '/bsbi-demo/cornish-heath-gb-mean-sd.csv', function(d){\n      for (const p in d) {\n        if (p !== 'ddbid') {\n          d[p] = Number(d[p])  // Ensures numeric columns from CSV are correctly typed\n        }\n        d.period = d.year\n        d.taxon = 'dummy'\n        d.y = d.mean\n        d.upper = d.mean + d.std\n        d.lower = d.mean - d.std\n      }\n      return d\n    })\n  \n    const pBsbiLinmod = d3.csv(ds.npms_vis.dataRoot + '/bsbi-demo/cornish-heath-gb-linmod.csv', function(d){\n      for (const p in d) {\n        if (p !== 'ddbid') {\n          d[p] = Number(d[p])  // Ensures numeric columns from CSV are correctly typed\n        }\n        d.taxon = 'dummy'\n        d.colour = 'blue'\n        d.width = 2\n        d.opacity = 0.05\n      }\n      return d\n    })\n    \n    Promise.all([pBsbiLinmod, pBsbiMeans]).then(function(data){\n      const opts = {\n        selector: '#bsbiLinearTrends',\n        dataTrendLines: data[0],\n        dataPoints: data[1],\n        taxa: ['dummy'],\n        showLegend: false,\n        showTaxonLabel: false,\n        interactivity: 'none',\n        width: 350,\n        height: 250,\n        perRow: 1,\n        expand: false,\n        //missingValues: 'break', \n        metricExpression: '',\n        minMaxY: null,\n        periodType: 'year',\n        lineInterpolator: 'curveMonotoneX',\n        chartStyle: 'line',\n        //composition: '',\n        axisLeftLabel: 'Relative frequency',\n        axisTop: 'on',\n        axisRight: 'on',\n        margin: {left: 45, right: 0, top: 0, bottom: 15},\n        xPadPercent: 5,\n        yPadPercent: 5,\n        minPeriod: 1949, \n        maxPeriod: 2020\n      }\n      brccharts.temporal(opts)\n    })\n}\n\nfunction bsbiDensityChart() {\n  // Distribution of linear slope estimates (Fig 3 in PlantAltas trends)\n  const pLinmod = d3.csv(ds.npms_vis.dataRoot + '/bsbi-demo/cornish-heath-gb-linmod.csv', function(d){\n      return {\n      gradient: Number(d.gradient),\n      intercept: Number(d.intercept)\n    }\n  })\n  const pLinmodMeans = d3.csv(ds.npms_vis.dataRoot + '/bsbi-demo/mean-gradients-gb-linmod.csv', function(d){\n      return {\n      slope: Number(d.gradient)\n    }\n  })\n  const pLinmodCentiles = d3.csv(ds.npms_vis.dataRoot + '/bsbi-demo/centiles-linmod.csv', function(d){\n      return {\n      region: d.region,\n      c5: Number(d.c5),\n      c95: Number(d.c95)\n    }\n  })\n\n  Promise.all([pLinmod, pLinmodMeans, pLinmodCentiles]).then(function(data){\n  \n    const density = brccharts.density({\n      selector: '#bsbiLinearSlopes',\n      data: [],\n      ylines:[],\n      xlines:[],\n      width: 350,\n      height: 250,\n      padding: 0.1,\n      margin: {left: 50, right: 10, top: 15, bottom: 40},\n      expand: false,\n      axisLeft: 'on',\n      axisBottom: 'tick',\n      axisRight: 'on',\n      axisTop: 'on',\n      axisLeftLabel: 'Density',\n      axisBottomLabel: 'Slope',\n      axisLabelFontSize: 12,\n      styles: [{stroke: 'blue', strokeWidth: 1}, {stroke: 'grey', strokeWidth: 1}]\n    })\n\n    const xlines = [\n      {x: -0.004, stroke: 'silver', strokeWidth: 1, strokeDasharray: '3 3'},\n      {x: -0.001, stroke: 'silver', strokeWidth: 1, strokeDasharray: '3 3'},\n      {x: 0, stroke: 'silver', strokeWidth: 1},\n      {x: 0.001, stroke: 'silver', strokeWidth: 1, strokeDasharray: '3 3'},\n      {x: 0.004, stroke: 'silver', strokeWidth: 1, strokeDasharray: '3 3'}\n    ]\n\n    const linmodData = data[0]\n    const meanLinmodData = data[1]\n    const linmodCentiles = data[2]\n    const densityData = [linmodData.map(d => {return {slope: Number(d.gradient)}})]\n    densityData.push(meanLinmodData)\n    const limmodCentile = linmodCentiles.find(l => l.region === 'Britain')\n\n    // In general, density slopes of individual taxon will be within the overall\n    // density slope. But for outliers, in PlantAltas we adjust the x axis limits based on\n    // the density slope for the taxon. Ignored here.\n    //const dd = densityData[0].map(d => d.slope)\n    const dp95 = 0 //stats.percentile(dd, 0.95)\n    const dp5 = 1 //stats.percentile(dd, 0.05)\n    const xmax = limmodCentile.c95 > dp95 ? limmodCentile.c95 : dp95\n    const xmin = limmodCentile.c5 < dp5 ? limmodCentile.c5 : dp5\n    density.updateChart(densityData, xmin, xmax, xlines, null, true)\n  })\n}\n\nfunction bsbiSlopeClassChart() {\n\n  d3.csv(ds.npms_vis.dataRoot + '/bsbi-demo/cornish-heath-gb-trend-summaries.csv', function(d){\n    \n    \n    return [\n      {value: Number(d.declineStrong), label: 'Strong decline', stroke: 'grey', strokeWidth: 1, fill: 'rgb(230,230,230)'},\n      {value: Number(d.declineMod), label: 'Moderate decline', stroke: 'grey', strokeWidth: 1, fill: 'rgb(230,230,230)'},\n      {value: Number(d.stable), label: 'Stable', stroke: 'grey', strokeWidth: 1, fill: 'rgb(230,230,230)'},\n      {value: Number(d.increaseMod), label: 'Moderate increase', stroke: 'grey', strokeWidth: 1, fill: 'rgb(230,230,230)'},\n      {value: Number(d.increaseStrong), label: 'Strong increase', stroke: 'grey', strokeWidth: 1, fill: 'rgb(230,230,230)'}\n    ]\n  }).then(function(data){\n\n    brccharts.bar({\n      selector: '#bsbiSlopeClassification',\n      data: data[0],\n      width: 350,\n      height: 250,\n      padding: 0.1,\n      margin: {left: 50, right: 10, top: 10, bottom: 90},\n      expand: false,\n      axisLeft: 'tick',\n      axisBottom: 'tick',\n      axisRight: 'none',\n      axisTop: 'none',\n      axisLeftLabel: 'Frequency',\n      axisLabelFontSize: 12,\n      labelPosition: {'text-anchor': 'end', dx: '-1em', dy: '0.2em', transform: 'rotate(-55)'},\n      tooltip: true\n    })\n  })\n}\n\nfunction bsbiSlopeSummaryChart() {\n  d3.csv(ds.npms_vis.dataRoot + '/bsbi-demo/cornish-heath-gb-trend-summaries.csv', function(data){\n    trendSummary('bsbiSlopeSummary')\n    updateTrendSummary('bsbiSlopeSummary', data)\n  })\n}\n","\nimport * as d3 from 'd3'\n\nconst $ = jQuery // eslint-disable-line no-undef\nconst ds = drupalSettings // eslint-disable-line no-undef\n\nexport function npmsTrends1() {\n  $( document ).ready(function() {\n    if ($('#npmsTrends1').length) {\n      npmsTrends1Gui()\n      createChart()\n      createImage()\n    }\n  })\n}\n\nlet dataCsvs\nlet chart\nlet $image\nlet $imageCaption\n\nconst lowlight = 'rgb(180,180,180)'\n\nasync function npmsTrends1Gui() {\n \n  $('#npmsTrends1').html('')\n\n  // Top level flex layout\n  const $flexGuiTop = $('<div>')\n  $flexGuiTop.attr('id', 'npmsTrends1Top').appendTo($('#npmsTrends1'))\n\n  const $flexControls = $('<div>').appendTo($flexGuiTop)\n  $flexControls.attr('id', 'npmsTrends1Controls')\n  //$flexControls.text('controls')\n\n  const $chartAndImage = $('<div>').appendTo($flexGuiTop)\n  $chartAndImage.attr('id', 'npmsTrends1ChartAndImage')\n  \n  const $flexChart = $('<div>').appendTo($chartAndImage)\n  $flexChart.attr('id', 'npmsTrends1Chart')\n\n  const $flexImage = $('<div>').appendTo($chartAndImage)\n  $flexImage.attr('id', 'npmsTrends1Image')\n  //$flexImage.css('padding', '0 10px 0 64px')\n  \n  // Load data for selectors\n  const dataHabitats = await d3.csv(ds.npms_vis.dataRoot + '/hablookup.csv')\n  const dataNames = await d3.csv(ds.npms_vis.dataRoot + '/names.csv')\n  dataCsvs = await d3.csv(ds.npms_vis.dataRoot + '/trends.csv', d => {\n    // trends.csv is a file that lists all the CSV files\n    const file = d.csv.substring(0, d.csv.length-4)\n    const fileSplit = file.split('_')\n    const habitat = fileSplit[0]\n    const type = fileSplit[fileSplit.length-1]\n    const taxon = fileSplit.slice(1,-1).join('/')\n    const matchName = dataNames.find(n => n.scientific === taxon)\n    return {\n      habitat: habitat,\n      taxon: taxon,\n      ddbid: matchName ? matchName.ddbid : '',\n      common: matchName ? matchName.common : '',\n      type: type\n    }\n  })\n  //console.log(dataHabitats)\n  //console.log(dataCsvs)\n\n  // Create the habitat selector\n  const $habitatSel = $('<select>').appendTo($flexControls)\n  $habitatSel.attr('id', 'npms-trends1-habitat-select')\n  $habitatSel.css('width', '100%')\n  $habitatSel.css('color', lowlight)\n  $habitatSel.change(() => {\n    if ($habitatSel.find(\":selected\").val()) {\n      $habitatSel.css('color', 'black')\n    } else {\n      $habitatSel.css('color', lowlight)\n    }\n    trendSelectionChanged()\n  })\n \n  const $habitatPlaceHolder = $('<option>').appendTo($habitatSel)\n  $habitatPlaceHolder.css('color', lowlight)\n  $habitatPlaceHolder.attr('value', '')\n  $habitatPlaceHolder.text('Select habitat')\n  dataHabitats.forEach(h => {\n    const $habitatOpt = $('<option>').appendTo($habitatSel)\n    $habitatOpt.css('color', 'black')\n    $habitatOpt.attr('value', h.broadHabAbbrev)\n    $habitatOpt.text(h.broadHabFull)\n  })\n\n  // Create the positive/negative selector\n  const $typeSel = $('<select>').appendTo($flexControls)\n  $typeSel.attr('id', 'npms-trends1-type-select')\n  $typeSel.css('width', '100%')\n  $typeSel.css('color', lowlight)\n  $typeSel.change(() => {\n    if ($typeSel.find(\":selected\").val()) {\n      $typeSel.css('color', 'black')\n    } else {\n      $typeSel.css('color', lowlight)\n    }\n    trendSelectionChanged()\n  })\n\n  const $typePlaceHolder = $('<option>').appendTo($typeSel)\n  $typePlaceHolder.css('color', lowlight)\n  $typePlaceHolder.attr('value', '')\n  $typePlaceHolder.text('Select indicator type')\n  \n  const $typePositive = $('<option>').appendTo($typeSel)\n  $typePositive.css('color', 'black')\n  $typePositive.attr('value', 'P')\n  $typePositive.text('Positive indicators')\n\n  const $typeNegative = $('<option>').appendTo($typeSel)\n  $typeNegative.css('color', 'black')\n  $typeNegative.attr('value', 'N')\n  $typeNegative.text('Negative indicators')\n\n  // Create the taxon selector\n  const $taxonSel = $('<select>').appendTo($flexControls)\n  $taxonSel.attr('id', 'npms-trends1-taxon-select')\n  $taxonSel.css('width', '100%')\n  $taxonSel.css('color', lowlight)\n\n  const $taxonPlaceHolder = $('<option>').appendTo($taxonSel)\n  $taxonPlaceHolder.css('color', lowlight)\n  $taxonPlaceHolder.text('Select indicator taxon')\n  $taxonPlaceHolder.attr('value', '')\n\n  $taxonSel.change(() => {\n    if ($taxonSel.find(\":selected\").val()) {\n      $taxonSel.css('color', 'black')\n    } else {\n      $taxonSel.css('color', lowlight)\n    }\n    // Call function to change chart\n    drawChart()\n    drawImage()\n  })\n\n  // Scaling option\n  const $zoomDiv = $('<div>').appendTo($flexControls)\n  $zoomDiv.css(\"width\", \"180px\")\n  $zoomDiv.css(\"margin\", \"1em 0\")\n  const $bgrp = $('<div>').appendTo($zoomDiv)\n  $bgrp.addClass('btn-group')\n  $bgrp.addClass('btn-group-justified')\n  $bgrp.attr('data-toggle', 'buttons')\n\n  const $zoomInLabel = $('<label>').appendTo($bgrp)\n  $zoomInLabel.addClass('btn')\n  $zoomInLabel.addClass('btn-default')\n  const $zoomInInput = $('<input>').appendTo($zoomInLabel)\n  $zoomInInput.attr('type', 'radio')\n  $zoomInInput.attr('name', 'zoomType')\n  $zoomInInput.attr('value', 'in')\n  $zoomInLabel.append(\"Zoom in\")\n\n  const $zoomOutLabel = $('<label>').appendTo($bgrp)\n  $zoomOutLabel.addClass('btn')\n  $zoomOutLabel.addClass('btn-default')\n  $zoomOutLabel.addClass('active')\n  const $zoomOutInput = $('<input>').appendTo($zoomOutLabel)\n  $zoomOutInput.attr('type', 'radio')\n  $zoomOutInput.attr('name', 'zoomType')\n  $zoomOutInput.attr('value', 'out')\n  $zoomOutInput.attr('checked', 'checked')\n  $zoomOutLabel.append(\"Zoom out\")\n\n  $('input[type=radio][name=\"zoomType\"]').change(function() {\n    drawChart()\n    drawImage()\n  })\n\n  // Name option\n  const $nameDiv = $('<div>').appendTo($flexControls)\n  //$nameDiv.css(\"width\", \"180px\")\n  $nameDiv.css(\"margin\", \"1em 0\")\n  const $bgrpName = $('<div>').appendTo($nameDiv)\n  $bgrpName.addClass('btn-group')\n  $bgrpName.addClass('btn-group-justified')\n  $bgrpName.attr('data-toggle', 'buttons')\n\n  const $scientificLabel = $('<label>').appendTo($bgrpName)\n  $scientificLabel.addClass('btn')\n  $scientificLabel.addClass('btn-default')\n  $scientificLabel.addClass('active')\n  const $scientificInput = $('<input>').appendTo($scientificLabel)\n  $scientificInput.attr('type', 'radio')\n  $scientificInput.attr('name', 'nameType')\n  $scientificInput.attr('value', 'scientific')\n  $scientificInput.attr('checked', 'checked')\n  $scientificLabel.append(\"Scientific\")\n\n  const $commonLabel = $('<label>').appendTo($bgrpName)\n  $commonLabel.addClass('btn')\n  $commonLabel.addClass('btn-default')\n  const $commonInput = $('<input>').appendTo($commonLabel)\n  $commonInput.attr('type', 'radio')\n  $commonInput.attr('name', 'nameType')\n  $commonInput.attr('value', 'common')\n  $commonLabel.append(\"Common\")\n\n  const $bothLabel = $('<label>').appendTo($bgrpName)\n  $bothLabel.addClass('btn')\n  $bothLabel.addClass('btn-default')\n  const $bothInput = $('<input>').appendTo($bothLabel)\n  $bothInput.attr('type', 'radio')\n  $bothInput.attr('name', 'nameType')\n  $bothInput.attr('value', 'both')\n  $bothLabel.append(\"Both\")\n\n  $('input[type=radio][name=\"nameType\"]').change(function() {\n    trendSelectionChanged()\n  })\n\n  // Download button and type radios\n  const $button = $('<button>').appendTo($flexControls)\n  $button.addClass('btn btn-default')\n  $button.text('Download')\n  $button.on('click', function(){\n  \n    const habitat = $('#npms-trends1-habitat-select').find(\":selected\").val()\n    const type = $('#npms-trends1-type-select').find(\":selected\").val()\n    const taxon = $('#npms-trends1-taxon-select').find(\":selected\").val()\n\n    if (habitat && type && taxon) {\n\n      const filename = `${habitat}-${type}-${taxon}`.replace(/[^a-z]/gi, '_').toLowerCase()\n      const asSvg = $('input[type=radio][name=\"imgDownloadType\"]:checked').val() === 'svg'\n\n      const habitatText = $('#npms-trends1-habitat-select').find(\":selected\").text()\n      const taxonText = $('#npms-trends1-taxon-select').find(\":selected\").text()\n\n      const today = new Date()\n      const yyyy = today.getFullYear()\n      let mm = today.getMonth() + 1 // Months start at 0!\n      let dd = today.getDate()\n      if (dd < 10) dd = '0' + dd\n      if (mm < 10) mm = '0' + mm\n      const formattedToday = dd + '/' + mm + '/' + yyyy\n\n      const textFormatted = [\n        'n#Trend for ',\n        `i#${taxonText} `,\n        `n#${type === 'P' ? '(positive indicator)' : '(negative indicator)'}`,\n        `n#in ${habitatText.toLowerCase()}. National Plant Monitoring Scheme website, `,\n        `n#${window.location.href}, [accessed ${formattedToday}].`\n      ]\n\n      const info = {\n        text: '',\n        textFormatted: textFormatted,\n        margin: 10,\n        fontSize: 10,\n        img: '/modules/custom/npms_vis/images/npms_logo_3600.gif'\n      }\n      $('svg').css('background-color','white')\n      chart.saveImage(asSvg, filename, info).then(() => {$('svg').css('background-color','inherit')})\n    }\n  })\n  makeRadio($flexControls, 'imgDownloadType', 'PNG', 'png', true)\n  makeRadio($flexControls, 'imgDownloadType', 'SVG', 'svg', false)\n}\n\nfunction makeRadio($parent, name, label, val, checked) {\n\n  const $div = $('<div>').appendTo($parent)\n  $div.css('display', 'inline-block')\n  $div.css('margin-left', '0.5em')\n  $div.attr('class', 'radio')\n  const $label = $('<label>').appendTo($div)\n  $label.css('padding-left', '0')\n  $label.css('min-width', '50px')\n  $label.css('width', '50px')\n  const $radio = $('<input>').appendTo($label)\n  const $span = $('<span>').appendTo($label)\n  $span.text(label)\n  $span.css('padding-left', '20px')\n  $radio.attr('type', 'radio')\n  $radio.attr('name', name)\n  $radio.attr('value', val)\n  $radio.css('margin-left', 0)\n  if (checked) {\n    $radio.prop('checked', true)\n  }\n  $radio.change(function () {\n    //imageType = val\n  })\n}\n\nfunction trendSelectionChanged() {\n  const habitat = $('#npms-trends1-habitat-select').find(\":selected\").val()\n  const type = $('#npms-trends1-type-select').find(\":selected\").val()\n  const nameType = $('input[type=radio][name=\"nameType\"]:checked').val()\n  const currentTaxon = $('#npms-trends1-taxon-select').find(\":selected\").val()\n\n  //console.log('sel changed', habitat, type)\n\n  const filteredCsvs = dataCsvs.filter(d => d.habitat === habitat).filter(d => d.type === type)\n  console.log(filteredCsvs)\n\n  // Sort filteredCsvs depending on name type\n  filteredCsvs.sort((a,b) => {\n    if (nameType === 'common') {\n      return a.common > b.common ? 1 : -1\n    } else {\n      return a.taxon > b.taxon ? 1 : -1\n    }\n  })\n  \n  // Remove all options except first (placeholder)\n  $('#npms-trends1-taxon-select option').each(function(i){\n    if (i > 0) {\n      $(this).remove()\n    }\n  })\n\n  let taxonMatched = false\n  filteredCsvs.forEach(d => {\n    const $taxonOpt = $('<option>').appendTo($('#npms-trends1-taxon-select'))\n    $taxonOpt.css('color', 'black')\n    $taxonOpt.attr('value', d.taxon)\n    $taxonOpt.attr('data-ddbid', d.ddbid)\n    if (nameType === 'scientific') {\n      $taxonOpt.text(d.taxon)\n    } else if (nameType === 'common') {\n      $taxonOpt.text(d.common)\n    } else {\n      $taxonOpt.text(`${d.taxon} (${d.common})`)\n    }\n    if (d.taxon === currentTaxon) {\n      $taxonOpt.prop('selected', true)\n      taxonMatched = true\n    }\n  })\n  // Select first option (placeholder)\n  if (!taxonMatched) {\n    $('#npms-trends1-taxon-select[value=\"\"]').prop('selected', true)\n    $('#npms-trends1-taxon-select').css('color', lowlight)\n  }\n  drawChart()\n  drawImage()\n}\n\nfunction createImage() {\n\n  $('#npmsTrends1Image').css('display', 'flex')\n  const $imgDiv = $('<div>').appendTo($('#npmsTrends1Image'))\n  $imgDiv.css('flex', '7')\n  $imgDiv.css('padding', '10px')\n  const $textDiv = $('<div>').appendTo($('#npmsTrends1Image'))\n  $textDiv.css('flex', '3')\n  $textDiv.css('padding', '10px')\n\n  $image = $('<img>').appendTo($imgDiv)\n  $image.attr('id', 'npms-trends1-image')\n\n  $imageCaption = $('<div>').appendTo($textDiv)\n}\n\nfunction createChart() {\n\n  const opts = {\n    selector: '#npmsTrends1Chart',\n    data: [],\n    dataPoints: [],\n    taxa: ['dummy'],\n    metrics: [\n      { prop: 'mean', strokeWidth: 1, bandUpper: 'high', bandLower: 'low', colour: '#413E8C', bandFill: 'silver', bandFillOpacity: 0.1, bandStrokeOpacity: 0.3},\n    ],\n    showLegend: false,\n    showTaxonLabel: false,\n    interactivity: 'none',\n    width: 450,\n    height: 300,\n    perRow: 1,\n    expand: true,\n    //missingValues: 'break', \n    metricExpression: '',\n    minMaxY: null,\n    periodType: 'year',\n    lineInterpolator: 'curveMonotoneX',\n    chartStyle: 'line',\n    //composition: '',\n    axisLeftLabel: 'Average cover (proportion)',\n    axisLabelFontSize: 12,\n    axisTop: 'on',\n    axisRight: 'on',\n    margin: {left: 57, right: 0, top: 10, bottom: 15},\n    xPadPercent: 5,\n    yPadPercent: 5,\n    //watermark: {text: 'blah', rotation: 45, fontSize: 30, font: 'Courier', opacity: 0.1, fontWeight: 'bolder'}\n  }\n  // Watermark\n  if (ds.npms_vis.watermarkText) {\n    opts.watermark = {\n      text: ds.npms_vis.watermarkText,\n    }\n    if (ds.npms_vis.watermarkConfig) {\n      const config = ds.npms_vis.watermarkConfig.split(' ')\n      config.forEach(c => {\n        const kv = c.split(':')\n        if (kv.length > 1) {\n          opts.watermark[kv[0]] = kv[1]\n        }\n      })\n    }\n  }\n  chart = brccharts.temporal(opts)\n}\n\nfunction drawImage() {\n  const taxon = $('#npms-trends1-taxon-select').find(\":selected\").val()\n  const ddbid = $('#npms-trends1-taxon-select').find(\":selected\").attr('data-ddbid')\n\n  if (ddbid) {\n    // Get the images associated with each taxon in the ddbid field\n    // (can be space separated list) from the BSBI caption file\n    let captionPromises = []\n    ddbid.split(\" \").forEach(ddbid => {\n      captionPromises.push(d3.csv(`${ds.npms_vis.dataRoot}/captions/${ddbid.replace('.', '_')}.csv`))\n    })\n    Promise.all(captionPromises).then(function(data) {\n\n      $image.attr('src', '')\n      $imageCaption.html('')\n\n      let images = []\n      let credits = []\n      let formattedNames = []\n      data.forEach(d => {\n        images = [...d[0].images.split(';'), ...images]\n        credits = [...d[0].imageCaptions.split(';'), ...credits]\n        const formattedNameN = d[0].images.split(';').map(i => d[0].formattedName)\n        formattedNames = [...formattedNameN, ...formattedNames]\n      })\n    \n      // Randomly select one of the images\n      const random = Math.floor(Math.random() * images.length)\n      const image = images[random].replace('{PIXELSIZE}', '1920')\n      const credit = credits[random]\n      const formattedName = formattedNames[random]\n\n      $image.attr('src', image)\n      $imageCaption.html(`Pictured: ${formattedName} (credit: ${credit})`)\n    })\n  }\n}\n\nfunction drawChart() {\n\n  const habitat = $('#npms-trends1-habitat-select').find(\":selected\").val()\n  const type = $('#npms-trends1-type-select').find(\":selected\").val()\n  const taxon = $('#npms-trends1-taxon-select').find(\":selected\").val()\n  const zoom = $('input[type=radio][name=\"zoomType\"]:checked').val()\n\n  if (taxon) {\n    const file=`${ds.npms_vis.dataRoot}/trends/${habitat}_${taxon.replace(/\\//g, '_')}_${type}.csv`\n\n    //console.log(habitat, taxon, type)\n    //console.log(file)\n\n    d3.csv(file, d => {\n      return {\n        mean: Number(d.Mean),\n        low: Number(d.low),\n        high: Number(d.high),\n        taxon: 'dummy',\n        period: Number(d.year),\n      }\n    }).then(data => {\n      //console.log(data)\n      let minY = null\n      let maxY = null\n      if (zoom === 'out') {\n        const min = data.reduce((m,d) => d.low < m ? d.low : m, 1000 )\n        const max = data.reduce((m,d) => d.high > m ? d.high : m, 0 )\n        minY = min-0.1 < 0 ? 0 : min-0.1\n        maxY = max+0.1 > 1 ? 1 : max+0.1\n      }\n      chart.setChartOpts({data: data, minY: minY, maxY: maxY})\n    })\n  } else {\n    chart.setChartOpts({data: [], minY: null, maxY: null})\n  }\n}","import pkg from './package.json'\nimport { main } from './js/main'\n\n// Output version from package json to console\n// to assist with trouble shooting.\nconsole.log(`Running ${pkg.name} version ${pkg.version}`)\n\n// Call main function\nmain()\n","import { bsbiExamples } from './bsbi-examples'\nimport { npmsTrends1 } from './npms-trends1'\n\nexport function main() {\n  bsbiExamples()\n  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