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setup.js
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var scenario_clicked;
var threshold_clicked;
var region_dict = [];
var legend = [];
var region_id = [1, 2, 3, 4, 5, 6, 7, 11, 13, 14, 15, 16, 17];
var highchart;
//for avgs
var avgIndexGroup, avgRegionGroup, avgEventsBySeason, avgModelGroup;
//for map click
window.eventRange;
var choroChart;
//to be defined in each chart:
var regionCount, datasetCount, regionCount, indexCount, yearCount;
$(document).ready(function() {
document.getElementById("ts-button").disabled = true;
$("#jqxwindow").jqxWindow({
height: 450,
width: 900,
showCollapseButton: true,
initContent: function() {
$('#tab').jqxTabs({
height: '100%',
width: '100%'
});
},
autoOpen: false
});
var chart;
choroChart = dc.leafletChoroplethChart("#choro-map .map");
indexChart = dc.barChart("#chart-index");
datasetChart = dc.rowChart("#chart-dataset");
categoryChart = dc.rowChart("#chart-category");
//categoryChart = dc.barChart("#chart-category");
yearChart = dc.barChart("#chart-year");
timeAggregateChart = dc.rowChart("#chart-seasons")
percentileChart = dc.rowChart("#chart-percentile");
//d3.csv("data/percentile_7models_10indices_noOBS_noValueCol.csv", function(csv) { //DOES NOT contain snow
//d3.csv("data/percentile_7models_10indices_noOBS_noValueCol_WITHSNOW_2percentiles_ipynb.csv", function(csv) { //contains snow
d3.csv("data/percentile_7models_10indices_noOBS_noValueCol_WITHSNOW_4percentiles.csv", function(csv) { //contains snow
regions = {
1: "Alsace, Champagne-Ardenne et Lorraine",
2: "Aquitaine, Limousin et Poitou-Charentes",
3: "Auvergne et Rhône-Alpes",
4: "Bourgogne et Franche-Comté",
5: "Bretagne",
6: "Centre-Val de Loire",
7: "Corse",
11: "Languedoc-Roussillon et Midi-Pyrénées",
13: "Nord-Pas-de-Calais et Picardie",
14: "Normandie",
15: "Pays de la Loire",
16: "Provence-Alpes-Côte d'Azur",
17: "Île-de-France"
};
models = {
1: "CNRM-CERFACS-CNRM-CM5_RCA4",
2: "ICHEC-EC-EARTH_HIRHAM5",
3: "ICHEC-EC-EARTH_RCA4",
4: "IPSL-IPSL-CM5A-MR_WRF331F",
5: "MetEir-ECEARTH_RACMO22E",
6: "MPI-ESM-LR_CCLM4-8-17",
7: "MPI-ESM-LR_REMO019"
};
//Display short name in bar graph
models_short = {
1: "CNRM-CERFACS..._RCA4",
2: "ICHEC-EC..._HIRHAM5",
3: "ICHEC-EC..._RCA4",
4: "IPSL-IPSL..._WRF331F",
5: "MetEir..._RACMO22E",
6: "MPI-ESM..._CCLM4-8-17",
7: "MPI-ESM..._REMO019"
};
indices = {
"GD4": "Growing degree days (sum of TG > 4 degC) (degC)",
"HD17": "Heating degree days (sum of 17degC - TG) (degC)",
"TG": "Mean daily temp (degC)",
"R20mm": "Days where precipitation > 20mm (days)",
"RR1": "Wet days (RR ≥ 1 mm) (days)",
"RR": "Precipitation sum (mm)",
"RX1day": "Highest 1-day precipitation amount (mm)",
"RX5day": "Highest 5-day precipitation amount (mm)",
"CWD": "Maximum number of consecutive wet days (RR ≥1 mm) (days)",
"CDD": "Maximum number of consecutive dry days (RR < 1 mm) (days)"
};
indexID = {
1: "GD4",
2: "HD17",
3: "TG",
4: "R20mm",
5: "RR1",
6: "RR",
7: "RX1day",
8: "RX5day",
9: "CWD",
10: "CDD"
}
indexNames = ["GD4", "HD17", "TG", "R20mm", "RR1", "RR", "RX1day", "RX5day", "CWD", "CDD"];
//http://www.colourlovers.com/palette/3511190/Rain_Waves
indexColours = ["#F74427", "#F74427", "#F74427", "#BCE1D9", "#BCE1D9", "#BCE1D9", "#BCE1D9", "#BCE1D9", "#BCE1D9", "#BCE1D9"];
timeAgg_dict = {
"DJF": "Winter",
"MAM": "Spring",
"JJA": "Summer",
"SON": "Fall",
"yr": "Year"
};
//http://www.colourlovers.com/palette/1243449/four_seasons + http://www.colourlovers.com/palette/2914176/A1
seasonsColours = ["#9DD8D3", "#A9DB66", "#FFE545", "#FFAD5D"]; //DJF (blue), MAM (green), JJA (yellow), SON (orange)
var filter = crossfilter(csv);
var all = filter.groupAll();
var yearDimension = filter.dimension(function(d) {return +d.Year;}),
categoryDimension = filter.dimension(function(d) {
if (d.Index == 1 || d.Index == 2 || d.Index == 3) return "Heat";
else return "Precip";
}),
indexDimension = filter.dimension(function(d) {return +d.Index;}),
regionDimension = filter.dimension(function(d, i) {return regions[d.Region];}),
modelDimension = filter.dimension(function(d) {return +d.Model;}),
seasonDimension = filter.dimension(function(d) {return d.TimeAggregate;}),
scenarioDimension = filter.dimension(function(d) {return d.Scenario;})
percentileDimension = filter.dimension(function(d) { return +d.Percentile; });
// ===============================================================================================
avgIndexGroup = indexDimension.group().reduce(reduceAdd, reduceRemove, reduceInitial);
avgRegionGroup = regionDimension.group().reduce(reduceAdd, reduceRemove, reduceInitial);
avgModelGroup = modelDimension.group().reduce(reduceAdd, reduceRemove, reduceInitial);
avgCategoryGroup = categoryDimension.group().reduce(reduceAdd, reduceRemove, reduceInitial);
avgSeasonGroup = seasonDimension.group().reduce(reduceAdd, reduceRemove, reduceInitial);
avgPercentileGroup = percentileDimension.group().reduce(reduceAdd, reduceRemove, reduceInitial);
var numModels = avgModelGroup.size(); //exclude OBS
var numRegions = Object.keys(regions).length;
var numIndices = Object.keys(indexID).length;
var numCategories = 2;
var numPercentiles = avgPercentileGroup.size();
var numHeatIndices = 3;
var numRainIndices = 7;
var numTimeAgg = 5; //number of time aggregates (4 seasons + year)
var modelRange = 2100 - 1972, obsRange = 2012 - 1972;
var ymin = 0;
var ymax = 100; //min and max for y-axes of year bar chart
//Fns to count data for all datasets except the OBS data (id=100).
function reduceAdd(p, v) {
++p.count;
return p;
}
function reduceRemove(p, v) {
--p.count;
return p;
}
function reduceInitial() {
return {
count: 0
};
}
//Special fns for time aggregates
//https://github.com/dc-js/dc.js/issues/21
avgEventsBySeason = yearDimension.group().reduce(
// add
function(p, v) {
if (v.TimeAggregate == "DJF") ++p.season0Count;
if (v.TimeAggregate == "MAM") ++p.season1Count;
if (v.TimeAggregate == "JJA") ++p.season2Count;
if (v.TimeAggregate == "SON") ++p.season3Count;
if (v.TimeAggregate == "yr") ++p.yrAggCount;
return p;
},
// remove
function(p, v) {
if (v.TimeAggregate == "DJF") --p.season0Count;
if (v.TimeAggregate == "MAM") --p.season1Count;
if (v.TimeAggregate == "JJA") --p.season2Count;
if (v.TimeAggregate == "SON") --p.season3Count;
if (v.TimeAggregate == "yr") --p.yrAggCount;
return p;
},
// init
function() {
return {
season0Count: 0,
season1Count: 0,
season2Count: 0,
season3Count: 0,
yrAggCount: 0
};
}
);
//end fn for time aggregates
//==============================================================================================
minYear = parseInt(yearDimension.bottom(1)[0].Year) - 5;
maxYear = parseInt(yearDimension.top(1)[0].Year) + 5;
d3.selectAll("#total").text(filter.size()); // total number of events
// ===============================================================================================
// READ IN GEOJSON
// ===============================================================================================
d3.json("geojson/myFRA_admin12.json", function(statesJson) {
//region name dictionary
statesJson.features.forEach(function(d, idx) {
region_dict.push({
key: d.properties.name,
value: region_id[idx]
});
legend[idx] = d.properties.name;
});
choroChart
.dimension(regionDimension)
.group(avgRegionGroup)
.width(400)
.height(170)
.center([47.00, 2.00])
.zoom(5)
.geojson(statesJson)
.valueAccessor(function(d) {
if (indexChart.filters().length == 0 && (categoryChart.filters().length == 0 || categoryChart.filters().length == numCategories)) {
//no indices selected && (category chart not selected OR all categories selected)
indexCount = numIndices;
} else if (indexChart.filters().length == 0 && categoryChart.filters().length != 0) { //no indices selected but category chart selected
indexCount = categoryChart.filters() == "Precip" ? numRainIndices : numHeatIndices;
} else indexCount = indexChart.filters().length;
yearCount = yearChart.filters().length ? (parseInt(yearChart.filters()[0][1]) - parseInt(yearChart.filters()[0][0])) : modelRange;
timeAgg_clicked = timeAggregateChart.filters().length || numTimeAgg;
timeAggCount = timeAgg_clicked * yearCount;
datasetCount = datasetChart.filters().length || numModels;
percentileCount = percentileChart.filters().length || numPercentiles;
return 100 * d.value.count / (indexCount * timeAggCount * datasetCount * percentileCount);
})
.colors(colorbrewer.YlGnBu[7])
.colorAccessor(function(d, i) {
if (indexChart.filters().length == 0 && (categoryChart.filters().length == 0 || categoryChart.filters().length == numCategories)) {
//no indices selected && (category chart not selected OR all categories selected)
indexCount = numIndices;
} else if (indexChart.filters().length == 0 && categoryChart.filters().length != 0) { //no indices selected but category chart selected
indexCount = categoryChart.filters() == "Precip" ? numRainIndices : numHeatIndices;
} else indexCount = indexChart.filters().length;
yearCount = yearChart.filters().length ? (parseInt(yearChart.filters()[0][1]) - parseInt(yearChart.filters()[0][0])) : modelRange;
timeAgg_clicked = timeAggregateChart.filters().length || numTimeAgg;
timeAggCount = timeAgg_clicked * yearCount;
datasetCount = datasetChart.filters().length || numModels;
percentileCount = percentileChart.filters().length || numPercentiles;
return 100 * d.value.count / (indexCount * timeAggCount * datasetCount * percentileCount);
})
.featureKeyAccessor(function(feature) {
return feature.properties.name;
});
//.renderPopup(true)
// .popup(function(d,feature) {
// return feature.properties.name+" : "+d.value.count;
// });
choroChart.renderlet(function(chart) {
chart.selectAll("g").on("click", function(d, j) {
if (chart.filters().length == 1 && indexChart.filters().length == 1) {
document.getElementById("ts-button").disabled = false;
tsRegion = chart.filter();
} else document.getElementById("ts-button").disabled = true;
});
})
choroChart.on("preRender", function(chart) {
chart.colorDomain(d3.extent(chart.group().all(), chart.valueAccessor()));
});
//var numRegions;
choroChart.on("preRedraw", function(chart) {
//save initial eventRange upon page load
if (indexChart.filters().length == 0 && categoryChart.filters().length == 0 && datasetChart.filters().length == 0
//&& (yearChart.filters()[0][0] == 2001 && yearChart.filters()[0][1] == 2030) //default year window
//&& yearChart.filters().length == 0
&& timeAggregateChart.filters().length == 0) {
eventRange = d3.extent(chart.group().all(), chart.valueAccessor());
eventRange[0] = 0; //make min always 0
eventRange[1] = 70; //manually set max
chart.colorDomain(eventRange);
}
});
// =================
categoryChart //pieChart but interfaced by checkboxes
.width(100).height(100)
.colors([indexColours[0], indexColours[8]])
.dimension(categoryDimension)
.group(avgCategoryGroup)
.valueAccessor(function(d) {
return 50;
})
.title(function(d) { return ""; });
categoryChart.xAxis().tickFormat(function(v) { return ""; });
// =================
indexChart
.width(400).height(243)
.margins({
top: 10,
right: 30,
bottom: 30,
left: 50
})
.dimension(indexDimension)
.group(avgIndexGroup)
.valueAccessor(function(d) {
regionCount = choroChart.filters().length || numRegions;
datasetCount = datasetChart.filters().length || numModels;
percentileCount = percentileChart.filters().length || numPercentiles;
yearCount = yearChart.filters().length ? (parseInt(yearChart.filters()[0][1]) - parseInt(yearChart.filters()[0][0])) : modelRange;
timeAgg_clicked = timeAggregateChart.filters().length || numTimeAgg;
timeAggCount = timeAgg_clicked * yearCount;
return 100 * d.value.count / (regionCount * timeAggCount * datasetCount * percentileCount);
})
.renderHorizontalGridLines(true)
.gap(1)
.title(function(d, i) {
return indexID[i + 1] + " (" + indices[indexID[i + 1]] + ")" + ":\n" +
Math.round(100 * d.data.value.count / (regionCount * timeAggCount * datasetCount * percentileCount)) + "%";
})
.x(d3.scale.ordinal().domain(indexNames))
.xUnits(dc.units.ordinal) // Tell dc.js that we're using an ordinal x-axis;
//.filter(['2'])
.y(d3.scale.linear().domain([ymin, ymax]))
.yAxisLabel("Probability (%)");
indexChart
.yAxis().tickFormat(d3.format("d")).tickValues([0, 20, 40, 60, 80, 100]);
indexChart.renderlet(function(chart) {
chart.selectAll('g rect.bar').each(function(d, idx) {
if (d3.select(this).attr("class") == "bar deselected") {
d3.select(this).style("fill", "#ccc");
} else {
d3.select(this).style("fill", indexColours[idx]);
}
});
});
indexChart.renderlet(function(chart) {
// rotate x-axis labels
chart.selectAll('g.x text')
.attr('transform', 'translate(-10,10) rotate(315)');
});
indexChart.renderlet(function(chart) {
chart.selectAll("g").on("click", function(d, j) {
if (chart.filters().length == 1 && choroChart.filters().length == 1) {
document.getElementById("ts-button").disabled = false;
tsRegion = choroChart.filter();
} else document.getElementById("ts-button").disabled = true;
});
})
// =================
datasetChart
.width(200).height(242)
.dimension(modelDimension)
.group(avgModelGroup)
.valueAccessor(function(d) {
yearRange = (d.key == 100) ? obsRange : modelRange;
regionCount = choroChart.filters().length || numRegions;
percentileCount = percentileChart.filters().length || numPercentiles;
yearCount = yearChart.filters().length ? (parseInt(yearChart.filters()[0][1]) - parseInt(yearChart.filters()[0][0])) : modelRange;
timeAgg_clicked = timeAggregateChart.filters().length || numTimeAgg;
timeAggCount = timeAgg_clicked * yearCount;
if (indexChart.filters().length == 0 && (categoryChart.filters().length == 0 || categoryChart.filters().length == numCategories)) {
//no indices selected && (category chart not selected OR all categories selected)
indexCount = numIndices;
} else if (indexChart.filters().length == 0 && categoryChart.filters().length != 0) { //no indices selected but category chart selected
indexCount = categoryChart.filters() == "Precip" ? numRainIndices : numHeatIndices;
} else indexCount = indexChart.filters().length;
return 100 * d.value.count / (regionCount * timeAggCount * indexCount * percentileCount);
})
.colors(["#888888"])
.ordering(function(d) {
return -d.value;
})
.label(function(d) {
return models_short[d.key];
})
.title(function(d) {
return models[d.key] + ": " + Math.round(100 * d.value.count / (regionCount * timeAggCount * indexCount * percentileCount)) + "%";
})
.gap(2.5);
//Fix x-axis (http://stackoverflow.com/questions/29921847/fixed-x-axis-in-dc-js-rowchart)
datasetChart
.x(d3.scale.linear().range([0, (datasetChart.width() - 50)]).domain([0, 100]));
datasetChart
.xAxis().scale(datasetChart.x()).tickValues([0, 25, 50, 75, 100]);
// =================
timeAggregateChart
.width(160).height(172)
.colors(["#888888"])
.dimension(seasonDimension)
.group(avgSeasonGroup)
.gap(2)
.valueAccessor(function(d) {
regionCount = choroChart.filters().length || numRegions;
datasetCount = datasetChart.filters().length || numModels;
percentileCount = percentileChart.filters().length || numPercentiles;
yearCount = yearChart.filters().length ? (parseInt(yearChart.filters()[0][1]) - parseInt(yearChart.filters()[0][0])) : modelRange;
if (indexChart.filters().length == 0 && (categoryChart.filters().length == 0 || categoryChart.filters().length == numCategories)) {
//no indices selected && (category chart not selected OR all categories selected)
indexCount = numIndices;
} else if (indexChart.filters().length == 0 && categoryChart.filters().length != 0) { //no indices selected but category chart selected
indexCount = categoryChart.filters() == "Precip" ? numRainIndices : numHeatIndices;
} else indexCount = indexChart.filters().length;
return 100 * d.value.count / (regionCount * datasetCount * indexCount * yearCount * percentileCount);
})
.title(function(d) {
return timeAgg_dict[d.key] + ": " + Math.round( 100 * d.value.count /
(regionCount * datasetCount * indexCount * yearCount * percentileCount) ) + "%";
});
timeAggregateChart
.x(d3.scale.linear().range([0, (timeAggregateChart.width() - 50)]).domain([0, 100]));
timeAggregateChart
.xAxis().scale(timeAggregateChart.x()).tickValues([0, 25, 50, 75, 100]);
// =================
percentileChart
.width(200)
.height(120)
.colors(["#888888"])
.dimension(percentileDimension)
.group(avgPercentileGroup)
.gap(2)
.valueAccessor(function(d) {
regionCount = choroChart.filters().length || numRegions;
datasetCount = datasetChart.filters().length || numModels;
yearCount = yearChart.filters().length ? (parseInt(yearChart.filters()[0][1]) - parseInt(yearChart.filters()[0][0])) : modelRange;
timeAgg_clicked = timeAggregateChart.filters().length || numTimeAgg;
timeAggCount = timeAgg_clicked * yearCount;
if (indexChart.filters().length == 0 && (categoryChart.filters().length == 0 || categoryChart.filters().length == numCategories)) {
//no indices selected && (category chart not selected OR all categories selected)
indexCount = numIndices;
} else if (indexChart.filters().length == 0 && categoryChart.filters().length != 0) { //no indices selected but category chart selected
indexCount = categoryChart.filters() == "Precip" ? numRainIndices : numHeatIndices;
} else indexCount = indexChart.filters().length;
return 100 * d.value.count / (regionCount * datasetCount * indexCount * timeAggCount);
})
.title(function(d) {
txt = d.key == 10 ? "Below the " : "Above the "
return txt + d.key + "th percentile: " + Math.round(100 * d.value.count /
(regionCount * datasetCount * indexCount * timeAggCount)) + "%";
});
percentileChart
.x(d3.scale.linear().range([0, (percentileChart.width() - 50)]).domain([0, 100]));
percentileChart
.xAxis().scale(percentileChart.x()).tickValues([0, 25, 50, 75, 100]);
// =================
yearChart
.width(555).height(315)
.colors(["#888888"])
.dimension(yearDimension)
.group(avgEventsBySeason)
.valueAccessor(function(d) {
//add time aggregates and normalized by num aggregates selected
timeAgg_clicked = timeAggregateChart.filters().length || numTimeAgg;
normSeasons = (d.value.season0Count + d.value.season1Count + d.value.season2Count + d.value.season3Count + d.value.yrAggCount) / timeAgg_clicked;
regionCount = choroChart.filters().length || numRegions;
datasetCount = datasetChart.filters().length || numModels;
percentileCount = percentileChart.filters().length || numPercentiles;
if (indexChart.filters().length == 0 && (categoryChart.filters().length == 0 || categoryChart.filters().length == numCategories)) {
//no indices selected && (category chart not selected OR all categories selected)
indexCount = numIndices;
} else if (indexChart.filters().length == 0 && categoryChart.filters().length != 0) { //no indices selected but category chart selected
indexCount = categoryChart.filters() == "Precip" ? numRainIndices : numHeatIndices;
} else indexCount = indexChart.filters().length;
return Math.round(100 * normSeasons / (regionCount * indexCount * datasetCount * percentileCount));
})
//.filter([2001, 2030])
.filter([1976, 2005])
.gap(0)
.centerBar(true)
.renderHorizontalGridLines(true)
.x(d3.scale.linear().domain([1970, 2100]))
.y(d3.scale.linear().domain([ymin, ymax]))
.xAxisLabel("Year")
.yAxisLabel("Probability (%)");
yearChart
.xAxis().ticks(2).tickFormat(d3.format("d"))
.tickValues([1970, 1980, 1990, 2000, 2010, 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100]);
yearChart
.yAxis().tickValues([25, 50, 75, 100]);
//highlight reference period
yearChart.renderlet(function(chart) {
chart.selectAll('g rect.bar').each(function(d) {
if (d.x > 1975 && d.x < 2006) {
if (d3.select(this).attr("class") == "bar deselected") {
d3.select(this).style("fill", "#FCFBE3");
d3.select(this).style("stroke", "#DED8B6");
} else {
d3.select(this).style("fill", "#DED8B6");
d3.select(this).style("stroke", "none");
}
}
});
});
// =================
dc.renderAll();
//http://stackoverflow.com/questions/21114336/how-to-add-axis-labels-for-row-chart-using-dc-js-or-d3-js
function AddXAxis(chartToUpdate, displayText) {
chartToUpdate.svg()
.append("text")
.attr("class", "x-axis-label")
.attr("text-anchor", "middle")
.attr("x", chartToUpdate.width() / 2)
.attr("y", chartToUpdate.height() + 2)
.text(displayText);
}
AddXAxis(datasetChart, "Probability (%)");
AddXAxis(timeAggregateChart, "Probability (%)");
// =================
//Filter dc charts according to which radio button is checked by user:
$("input:radio[name=rcp]").click(function() {
var radioValue = $("input:radio[name=rcp]:checked").val();
scenarioDimension.filterAll();
scenarioDimension.filter(radioValue);
dc.redrawAll();
});
$("input[name='rcp']").click(function() {
var radioValue = $("input[name='rcp']:checked").val();
scenario_clicked = $("input:radio[name=rcp]:checked").val();
scenarioDimension.filterAll();
scenarioDimension.filter(radioValue);
dc.redrawAll();
});
$("input[name='rcp'][value='rcp85']").prop('checked', true);
$("input[name='rcp'][value='rcp85']").trigger("click");
// =================
//Show timeseries if button is clicked
document.getElementById('ts-button').onclick = function() {
showTimeSeries(tsRegion);
}
}); //end geojson
}); //end csv
}) //end document.ready
function resetTSbutton() {
document.getElementById("ts-button").disabled = true;
}
//--------------------------------------------------------------------
// TIME SERIES PLOTTIING
//--------------------------------------------------------------------
function showTimeSeries(regionName) {
//only show if ONE index filter has been selected
if (indexChart.filters().length == 1) {
index_clicked = indexNames[indexChart.filters()[0] - 1];
clearSeries();
$('#jqxwindow').jqxWindow('open'); //without this, a new window will not open after user previously closed it
renderDiv = ["timeChartWinter", "timeChartSpring", "timeChartSummer", "timeChartFall", "timeChartYear"]
timeAgg = ["DJF", "MAM", "JJA", "SON", "yr"]; //for highchart titles
for (var j = 0; j < renderDiv.length; j++) {
tsTitle = index_clicked + " for " + regionName + ", " + scenario_clicked + ", time aggregate = " + timeAgg[j];
callHighChart(tsTitle, renderDiv[j]);
makeRequest(regionName, timeAgg[j]);
}
}
}
function clearSeries() {
d3.selectAll("div#timeChart").selectAll("h2").remove();
}
function makeRequest(regionName, aggr) {
// http://colorbrewer2.org/
var colors = ["#a6cee3", "#1f78b4", "#b2df8a", "#33a02c", "#fb9a99", "#e31a1c", "#fdbf6f"];
regionNum = region_dict[legend.indexOf(regionName)].value;
if (index_clicked == "GD4" || index_clicked === "HD17" || index_clicked == "TG") {
fname = "_france_SAFRAN_8Km_1hour_1971010100_2012123123_V1_01.nc";
} else {
fname = "_france_SAFRAN_8Km_1hour_19710101_20051231_V1_01.nc";
}
datasetFiltered = datasetChart.filters();
for (var i = 0; i < Object.keys(models).length; i++) {
idx = i + 1;
var request = "http://webportals.ipsl.jussieu.fr/thredds/ncss/grid/EUROCORDEX/extremoscope_FRA_20151210/timeseries/" + index_clicked + "/" + aggr + "/" + scenario_clicked + "/" + regionNum + "/" + index_clicked + "_" + scenario_clicked + "_" + models[idx] + "_1971-2100" + ".nc?var=" + index_clicked + "&latitude=0&longitude=0&temporal=all&accept=csv";
visible = (datasetFiltered.length == 0 || datasetFiltered.indexOf(models[idx]) != -1 ? true : false);
addData(request, colors[i], 'Solid', models[idx], visible, false);
}
// obs
var request = "http://webportals.ipsl.jussieu.fr/thredds/ncss/grid/EUROCORDEX/extremoscope_FRA_20151210/timeseries/" + index_clicked + "/" + aggr + "/safran/" + regionNum + "/" + index_clicked + "_" + aggr + fname + "?var=" + index_clicked + "&latitude=0&longitude=0&temporal=all&accept=csv";
addData(request, '#000000', 'Solid', 'Obs Safran', true, true);
// highchart.addSeries({
// type: 'flags',
// color: '#333333',
// fillColor: 'rgba(255,255,255,0.8)',
// shape: 'squarepin',
// data: [{
// x: Date.UTC(2010, 7, 1),
// text: 'Highcharts Cloud Beta',
// title: 'a remarkable event'
// }],
// onSeries: 'Obs Safran',
// showInLegend: false
// });
}
function addData(request, color, dash, label, visible, addPercentile) {
$.ajax({
async: false,
type: "GET",
url: request,
success: function(data) {
// Split the lines
var lines = data.split('\n');
var serie = {
data: []
};
// Iterate over the lines and add categories or series
$.each(lines, function(lineNo, line) {
// ncss display a empty line at end
if (line.length == 0) return false;
var items = line.split(',');
// header line containes categories
if (lineNo != 0)
serie.data.push([Date.parse(items[0]), parseFloat(items[3])]);
});
serie.name = label;
serie.id = label;
serie.color = color;
serie.dashStyle = dash;
serie.visible = visible;
//Convert TG from K to degC. Leave GD4 and HD17 as is?
if (index_clicked === "TG") {
$.each(serie.data, function(index, value) {
value[1] = value[1] - 273.15;
})
}
highchart.addSeries(serie);
if (addPercentile) {
var dataValues = []
$.each(serie.data, function(index, value) {
dataValues.push(value[1]);
});
// OBS Safran is described from 1971 to 2012
// to calculate mean for 1976-2005 as reference period according to Rapport Jouzel
// consider 4:33 (in javascript notation start 0) so arr.slice(4,33)
dataValues = dataValues.slice(4, 33);
//percentile https://gist.github.com/IceCreamYou/6ffa1b18c4c8f6aeaad2
//percentile90 = percentile(dataValues.sort(), .90);
//NOTE: cannot use .sort() for floats!
//http://stackoverflow.com/questions/18496898/sorting-array-of-float-point-numbers
percentile90 = percentile(dataValues, 90);
percentile10 = percentile(dataValues, 10);
percentile95 = percentile(dataValues, 95);
percentile5 = percentile(dataValues, 5);
//threshold1 = math.mean(dataValues) + math.std(dataValues) * threshold_clicked;
//Add 90th percentile
highchart.yAxis[0].addPlotLine({
color: '#000000',
dashStyle: 'ShortDash',
width: 2,
value: percentile90,
zIndex: 10,
label: {
text: ' 90th Percentile',
y: 15,
x: 0
}
});
//Add 95th percentile
highchart.yAxis[0].addPlotLine({
color: '#333333',
dashStyle: 'ShortDot',
width: 2,
value: percentile95,
zIndex: 10,
label: {
text: ' 95th Percentile',
y: -10,
x: 0
}
});
//Add 10th percentile
highchart.yAxis[0].addPlotLine({
color: '#000000',
dashStyle: 'ShortDash',
width: 2,
value: percentile10,
zIndex: 10,
label: {
text: ' 10th Percentile',
y: -7,
x: 310
}
});
//Add 5th percentile
highchart.yAxis[0].addPlotLine({
color: '#333333',
dashStyle: 'ShortDot',
width: 2,
value: percentile5,
zIndex: 10,
label: {
text: ' 5th Percentile',
y: 15,
x: 310
}
});
}
}
});
}
function callHighChart(title, renderDiv) {
var options = {
chart: {
renderTo: renderDiv,
zoomType: 'xy'
//type: 'spline'
},
title: {
text: title,
style: {
color: '#000000',
fontWeight: 'bold',
fontSize: '20px'
},
x: 0,
y: 20,
align: 'left'
},
xAxis: {
type: 'datetime',
gridLineWidth: 1,
labels: {
dateTimeLabelFormats: {
minute: '%H:%M',
hour: '%H:%M',
day: '%e. %b',
week: '%e. %b',
month: '%b \'%y',
year: '%Y'
}
},
plotBands: [{
from: Date.UTC(1976, 06, 01), // month from 0 to 11 !
to: Date.UTC(2012, 06, 01),
color: '#EEEEEE'
}, {
from: Date.UTC(2005, 06, 01), // month from 0 to 11 !
to: Date.UTC(2200, 01, 01),
color: '#EFFFFF'
}]
},
yAxis: {
gridLineWidth: 1,
title: {
text: ''
},
opposite: false
},
rangeSelector: {
selected: 3,
inputDateFormat: '%Y',
buttons: [{
type: 'year',
count: 25,
text: '25Y'
}, {
type: 'year',
count: 50,
text: '50Y'
}, {
type: 'all',
text: 'All'
}]
},
navigator: {
enabled: false
},
tooltip: {
enabled: false,
crosshairs: true,
shared: true,
valueDecimals: 2,
useHTML: true,
headerFormat: '<small>{point.key}</small><table>',
pointFormat: '<tr><td style="color: {series.color}">{series.name}: </td>' +
'<td style="text-align: right"><b>{point.y}</b></td></tr>',
footerFormat: '</table>',
xDateFormat: '%Y'
},
legend: {
enabled: true,
align: 'right',
verticalAlign: 'top',
width: 300,
y: 60
},
plotOptions: {
spline: {
marker: {
enabled: false,
radius: 2,
lineColor: '#666666',
lineWidth: 1
}
}
},
exporting: {
enabled: true,
filename: "ExtremeEvents_chart",
sourceWidth: 1200,
sourceHeight: 600,
scale: 1
},
credits: {
enabled: true,
text: "Extremoscope - LSCE"
},
series: []
};
// Create the chart
highchart = new Highcharts.StockChart(options);
// http://jsfiddle.net/SyyUZ/4/
}