Ero sivun ”Widget:Test4” versioiden välillä

Järvi-meriwikistä
Loikkaa:valikkoon, hakuun
Rivi 1: Rivi 1:
−
function XaddDataToSeasonChart(memo) {
+
<includeonly>
 +
<script type="text/javascript">
 +
(function() {
  
−
memo.axisMinDate = new Date( memo.obsMinCompDateMs );
+
// globals
−
memo.axisMinDate.setDate(1);
+
var today = new Date();
−
memo.axisMaxDate = new Date( memo.obsMaxCompDateMs );
+
 
−
memo.axisMaxDate.setMonth( memo.axisMaxDate.getMonth()+1 );
+
function <!--{$id|default:TheGraph|escape:'html'}-->_jQueryTest() {
−
memo.axisMaxDate.setDate(0);
+
if ( typeof window.jQuery == 'undefined' ) {
 +
setTimeout( function(){ <!--{$id|default:TheGraph|escape:'html'}-->_jQueryTest() }, 300);
 +
} else {
 +
<!--{$id|default:TheGraph|escape:'html'}-->_func();
 +
}
 +
}
 +
setTimeout( function(){ <!--{$id|default:TheGraph|escape:'html'}-->_jQueryTest() }, 300);
 +
 
 +
function <!--{$id|default:TheGraph|escape:'html'}-->_func() {
 +
css_link = jQuery( "<link>", { rel: "stylesheet", type: "text/css", href: "//www.jarviwiki.fi/embed/css/obschart.css?ver=1" });
 +
css_link.appendTo('head');
 +
jQuery.getScript( "//cdnjs.cloudflare.com/ajax/libs/underscore.js/1.9.1/underscore-min.js", function() {
 +
jQuery.getScript( "//www.jarviwiki.fi/citobsjs/jwapi.js", function() {
 +
jQuery.getScript( '//www.gstatic.com/charts/loader.js', function() {
 +
google.charts.load( 'current', { 'packages':[ 'corechart' ] } );
 +
google.charts.setOnLoadCallback( loadObservations );
 +
});
 +
});
 +
});
 +
}
 +
 
 +
function loadObservations() {
 +
 
 +
jQuery( '.jwChartWidget' ).each( function() {
 +
 
 +
var memo = {};
 +
memo.widgetEl = jQuery( this );
 +
memo.lang = memo.widgetEl.attr( 'data-lang' ); if (typeof memo.lang == 'undefined') { memo.lang = 'fi'; }
 +
memo.height = memo.widgetEl.attr( 'data-height' ); if (typeof memo.height == 'undefined') { memo.height = 450; }
 +
 
 +
memo.siteid = jQuery( this ).attr( 'data-jw-siteid' );
 +
memo.obscode = jQuery( this ).attr( 'data-jw-obscode' );
 +
memo.obscodeParts = memo.obscode.split('_');
 +
memo.service = jQuery( this ).attr( 'data-coo311-service_code' );
 +
memo.graphType = jQuery( this ).attr( 'data-graph-type' );
 +
memo.editUrl = jQuery( this ).attr( 'data-edit-url' ); if (typeof memo.editUrl == 'undefined') { memo.editUrl = '-'; }
 +
memo.csvfile = jQuery( this ).attr( 'data-csv-filename' ); if (typeof memo.csvfile == 'undefined') { memo.csvfile = i18n[ memo.obscode ].title[ memo.lang ] + '_SiteID-' + memo.siteid + '_Downloaded-' + today.toISOString().split( 'T' )[0] + '.csv'; }
 +
if ( typeof jQuery( this ).attr( 'data-maintainer' ) == 'undefined' ) { memo.maintainerShow = false; }
 +
else { memo.maintainerShow = ( jQuery( this ).attr( 'data-maintainer' ).toLowerCase() == 'true' ); }
 +
memo.id = jQuery( this ).attr( 'id' ); if (typeof memo.id == 'undefined') { memo.id = 'jwsitegraph_' + Math.random() + '_container'; jQuery( this ).attr( 'id', memo.id ); }
  
−
memo.seasonsO = {};
+
memo.widgetEl.css( 'position', 'relative' );
−
memo.seasonsA = [];
 
  
−
for (var o in memo.obsesA) {
+
// add loader animation
 +
//memo.widgetEl.append( '<div style="display: none;" class="jwloading"></div>' );
 +
//memo.loaderEl = jQuery( this ).find( '.jwloading' );
 +
//memo.loaderEl.fadeIn( "slow" );
  
−
s = memo.obsesA[o].seriesId;
+
// add chart container
−
if (typeof memo.seasonsO[s] == 'undefined' ) { memo.seasonsO[s] = { 'obses': [] }; }
+
//memo.widgetEl.append( '<div class="card JwCard mb-2" style="position: relative; width: 100%; height: 100%;"><div class="card-header">Otsikko</div><div class="card-body" style="position: relative; width: 100%; height: 350px;"><div class="chart-container" style="position: relative; z-index: 110; width: 100%; height: 100%;"></div></div><div class="card-footer">footer</div></div>' );
−
memo.seasonsO[s].obses.push( memo.obsesA[o] );
+
memo.widgetEl.append( '<div class="card JwCard mb-2" style="position: relative; width: 100%; height: 100%;"><div class="card-header"></div><div class="card-body p-2" style="position: relative; width: 100%; height: 350px;"><div class="chart-container" style="position: relative; z-index: 110; width: 100%; height: 100%;"></div></div></div>' );
−
}
+
//memo.widgetEl.append( '<div class="chart-container" style="position: absolute; z-index: 110; width: 100%; height: 100%;"></div>' );
 +
memo.chartEl = jQuery( this ).find( '.chart-container' );
 +
memo.headerEl = jQuery( this ).find( '.card-header' );
  
−
for (var o in memo.seasonsO) { memo.seasonsA.push(o); } memo.seasonsA.sort( function(a,b) { return b-a; } );
+
// add title
 +
memo.headerEl.append( '<div class="obscharttitle" style="Xdisplay: none; float: left;"></div>' );
 +
memo.titleEl = jQuery( this ).find( '.obscharttitle' );
  
−
// create cols for each series
+
// add fullscreen button
−
var sc = 0;
+
memo.headerEl.append( '<div class="obschartbutton fullscreen-button" style="display: none; margin-left: 10px; float: right; Xbackground-color: rgba( 255, 255, 255, 1 ); border-radius: 50%; Xborder: 1px solid rgba( 0, 0, 0, 0.5 ); Xpadding: 1px;"><button title="' + i18n['fullscreen'][memo.lang] + '" style="width: 24px; height: 24px; padding: 0; margin: 0; color: #1B599B; background: none; border: none; "><i class="fas fa-expand"></i></button></div>' );
−
for (var s in memo.seasonsA) {
+
memo.fullscreenEl = jQuery( this ).find( '.fullscreen-button' );
  
−
// data
+
// add edit button
−
if ( memo.season == 'summer' ) {
+
if ( memo.editUrl != '-' ) {
−
memo.data.addColumn( 'number', memo.seasonsA[s].toString() );
+
memo.headerEl.append( '<div class="obschartbutton edit-button" style="Xdisplay: none; margin-left: 10px; float: right; Xbackground-color: rgba( 255, 255, 255, 1 ); border-radius: 50%; Xborder: 1px solid rgba( 0, 0, 0, 0.5 ); Xpadding: 1px;"><button title="' + i18n['edit'][memo.lang] + '" style="width: 24px; height: 24px; padding: 0; margin: 0; color: #1B599B; background: none; border: none;"><i class="fas fa-edit"></i></button></div>' );
−
} else {
+
memo.editEl = jQuery( this ).find( '.edit-button' );
−
memo.data.addColumn( 'number', memo.seasonsA[s].toString() + '-' + (parseInt(memo.seasonsA[s])+1).toString() );
 
 
}
 
}
−
// style
 
−
memo.data.addColumn( { type: 'string', role: 'style' } );
 
−
// tooltip
 
−
memo.data.addColumn( { type: 'string', role: 'tooltip', 'p': { 'html': true } } );
 
−
// annotation
 
−
memo.data.addColumn( { type: 'string', role: 'annotation' } );
 
  
−
// add to series
+
// add download data button
−
if ( memo.seasonsA[s] == memo.curSeason ) {
+
memo.headerEl.append( '<div class="obschartbutton download-button" style="display: none; margin-left: 10px; float: right; Xbackground-color: rgba( 255, 255, 255, 1 ); border-radius: 50%; Xborder: 1px solid rgba( 0, 0, 0, 0.5 ); Xpadding: 1px;"><button title="' + i18n['download'][memo.lang] + '" style="width: 24px; height: 24px; padding: 0; margin: 0; color: #1B599B; background: none; border: none;"><i class="fas fa-download"></i></button></div>' );
−
if ( memo.type == 'cat' ) {
+
memo.downloadEl = jQuery( this ).find( '.download-button' );
−
memo.options.series[sc++] = { type: 'scatter', curveType: 'function', color: colors['curObses'], XpointSize: 3, lineWidth: 0, visibleInLegend: true, hideThis: false, origSize: 10 };
+
 +
memo.loadStarts = 0;
 +
memo.obses = {};
 +
memo.seriesO = {};
 +
memo.trendlinesO = {};
 +
 
 +
memo.vaxisdir = 1; if (memo.obscode == 'secchi') { memo.vaxisdir = -1; }
 +
 
 +
memo.showAverage = ( jQuery( this ).attr( 'data-show-average' ) != 'false' );
 +
memo.showTrend = ( jQuery( this ).attr( 'data-show-trend' ) != 'false' );
 +
 
 +
memo.trendType = jQuery( this ).attr( 'data-trend-type' ); if (typeof memo.trendType == 'undefined') { memo.trendType = i18n[memo.obscode]['trend']['type']; }
 +
 +
//memo.titleEl.html( i18n[ memo.obscode ].title[ memo.lang ] );
 +
 
 +
//getJWobses(memo);
 +
//getCOO311obses(memo);
 +
 
 +
memo.jw = new jwApi();
 +
 
 +
var custom = '';
 +
if ( typeof memo.obscodeParts[1] != 'undefined' ) {
 +
if ( typeof memo.obscodeParts[2] != 'undefined' ) {
 +
custom += '[[' + i18n[memo.obscodeParts[0]].catName + '::' + memo.obscodeParts[2].split(',').join('||') +']]';
 
} else {
 
} else {
−
memo.options.series[sc++] = { type: 'scatter', curveType: 'function', color: colors['curObses'], XpointSize: 3, lineWidth: 4, visibleInLegend: true, hideThis: false, origSize: 10 };
+
custom += '[[' + i18n[memo.obscode].catName + '::>0]]';
 
}
 
}
−
} else {
 
−
memo.options.series[sc++] = { type: 'scatter', curveType: 'function', color: colors['obses'], XpointSize: 5, lineWidth: 0, visibleInLegend: false, hideThis: true, origSize: 5 };
 
 
}
 
}
−
}
 
  
−
// legend entry for timespan
+
memo.jw.loadObses( { 'obscode': memo.obscodeParts[0], 'siteid': memo.siteid, 'custom': custom }, function( o ) {
−
memo.data.addColumn( 'number', memo.obsMinDate.getFullYear() + '-' + memo.obsMaxDate.getFullYear() );
+
memo.obses = memo.jw.obs;
−
memo.options.series[sc++] = { type: 'scatter', color: colors['obses'], pointSize: 5, visibleInLegend: true, hideThis: false };
+
drawVisualization(memo);
 +
});
 +
 
 +
//https://www.jarviwiki.fi/wiki/Toiminnot:Lomakemuokkaus/ObsICE/V%C3%A4lij%C3%A4rvi_(74.021.1.051)/Luikonsaari
 +
 
 +
});
 +
}
 +
 
 +
function drawVisualization( memo ) {
 +
 
 +
if ( typeof i18n[ memo.obscode ].direction != 'undefined' ) { memo.vaxisdir = i18n[ memo.obscode ].direction; } else { memo.vaxisdir = 1; }
 +
 
 +
// defaults for all charts
 +
memo.options = {    
 +
backgroundColor: 'transparent',
 +
chartArea: { backgroundColor: { fill: '#ffffff', 'd': '#daf0fa', stroke: '#ccc', strokeWidth: 6 }},
 +
legend: { position: 'bottom' },
 +
crosshair: { trigger: 'both' },
 +
tooltip: { isHtml: true },
 +
seriesType: 'scatter',
 +
interpolateNulls: true,
 +
vAxis: {
 +
title: i18n[memo.obscode]['axisTitleV'][memo.lang],
 +
titleTextStyle: { bold: true },
 +
slantedText: false,
 +
maxAlternation: 1,
 +
direction: memo.vaxisdir,
 +
gridlines: { color: '#eee', count: -1 },
 +
minorGridlines: { count: 0 },
 +
viewWindow: { }
 +
},
 +
hAxis: {
 +
title: '',
 +
slantedText: false,
 +
maxAlternation: 1,
 +
gridlines: { color: '#eee' },
 +
minorGridlines: { count: 0 },
 +
viewWindow: { }
 +
},
 +
series: [ ],
 +
trendlines: [ ]
 +
};
 +
 
 +
memo.obsesTotal = 0;
  
−
// series for average
+
memo.obsMinValue = Infinity;
−
memo.data.addColumn( 'number', i18n['average'][memo.lang] );
+
memo.obsMaxValue = -Infinity;
 +
memo.obsMinDateMs = Infinity;
 +
memo.obsMaxDateMs = -Infinity;
 +
memo.obsMinCompDateMs = Infinity;
 +
memo.obsMaxCompDateMs = -Infinity;
  
−
if ( i18n[memo.obscode].trend.layout == 'area') {
+
memo.season = i18n[memo.obscode]['season'];
−
memo.options.series[sc++] = { type: 'area', curveType: 'function', lineWidth: 2, pointSize: 0, color: colors['average'], areaOpacity: 0.25, lineDashStyle: [2,2], enableInteractivity: false, visibleInLegend: memo.trendType=='moving' };
+
if ( memo.season == 'summer' || today.getMonth() > 7 ) {
 +
memo.curSeason = today.getFullYear();
 
} else {
 
} else {
−
memo.options.series[sc++] = { type: 'line', curveType: 'function', lineWidth: 3, pointSize: 5, color: colors['average'], dataOpacity: 0.75, lineDashStyle: [6,3], enableInteractivity: false, visibleInLegend: memo.trendType=='moving' };
+
memo.curSeason = today.getFullYear()-1;
 
}
 
}
  
−
memo.data.addColumn( { id: 'dev', type: 'number', role: 'interval' } );
+
// first loop
−
memo.data.addColumn( { id: 'dev', type: 'number', role: 'interval' } );
+
for ( var o in memo.obses ) {
 +
 
 +
obs = memo.obses[o];
 +
 
 +
memo.obsesTotal++;
 +
 
 +
// create data
 +
obs.data = JSON.parse( obs.printouts.DataJSON );
 +
 
 +
// add season
 +
if ( memo.season == 'winter' && obs.obsdatetime.getMonth() > -1 && obs.obsdatetime.getMonth() < 8 ) {
 +
obs.season = obs.obsdatetime.getFullYear()-1;
 +
} else {
 +
obs.season = obs.obsdatetime.getFullYear();
 +
}
 +
if ( memo.season == 'winter' ) {
 +
obs.seasonmiddle = new Date( obs.season+1, 0, 1 );
 +
} else {
 +
obs.seasonmiddle = new Date( obs.season, 5, 1 );
 +
}
 +
 
 +
// create addinfo
 +
obs.addInfo = "";
 +
if ( !!obs.media_url ) {
 +
obs.img = new Image();
 +
obs.img.src = obs.media_url;
 +
obs.addInfo = '<img style="max-width: 196px; max-height: 196px;" src="' + obs.media_url + '" />';
 +
}
 +
if ( !!obs.printouts[ 'Lisätiedot' ][0] ) {
 +
obs.addInfo += '<p>' + obs.printouts[ 'Lisätiedot' ][0] + '</p>';
 +
}
 +
 
 +
memo.obsMinValue = Math.min( memo.obsMinValue, obs.value );
 +
memo.obsMaxValue = Math.max( memo.obsMaxValue, obs.value );
 +
 
 +
memo.obsMinDateMs = Math.min( memo.obsMinDateMs, obs.obsdatetime.getTime() );
 +
memo.obsMaxDateMs = Math.max( memo.obsMaxDateMs, obs.obsdatetime.getTime() );
 +
 
 +
// add compare date to obses
 +
if ( memo.season == 'summer' || obs.obsdatetime.getMonth() > 7 ) {
 +
obs.compareDate = new Date( memo.curSeason, obs.obsdatetime.getMonth(), obs.obsdatetime.getDate(), obs.obsdatetime.getHours(), obs.obsdatetime.getMinutes() );
 +
} else {
 +
obs.compareDate = new Date( memo.curSeason+1, obs.obsdatetime.getMonth(), obs.obsdatetime.getDate(), obs.obsdatetime.getHours(), obs.obsdatetime.getMinutes() );
 +
}
 +
ms = obs.compareDate.getTime();
 +
memo.obsMinCompDateMs = Math.min(ms, memo.obsMinCompDateMs);
 +
memo.obsMaxCompDateMs = Math.max(ms, memo.obsMaxCompDateMs);
  
−
// series for trend line
+
// add series id
−
memo.data.addColumn( 'number', 'trend' );
+
if ( memo.graphType == 'trend' ) {
−
//memo.options.trendlines[sc] = { labelInLegend: i18n['trendline'][memo.lang], tooltip: false, color: colors['trend'], lineWidth: 2, opacity: 0.5, type: 'polynomial', degree: 15, visibleInLegend: memo.trendType!='moving' };
+
obs.seriesId = 0;
−
memo.options.series[sc++] = { type: 'scatter', pointSize: 0, enableInteractivity: false, visibleInLegend: false, hideThis: false };
+
} else if ( memo.graphType == 'dateofyear' ) {
 +
obs.seriesId = memo.obscodeParts[0] + '_cat_' + obs.data.cat;
 +
} else if ( memo.season == 'summer' || obs.obsdatetime.getMonth() > 7 ) {
 +
obs.seriesId = obs.obsdatetime.getFullYear();
 +
} else {
 +
obs.seriesId = obs.obsdatetime.getFullYear()-1;
 +
}
  
−
// do average
+
// create popup for obs
−
if (memo.trendType == 'gaussian') {
+
obs.popup = '<div style="padding: 8px;">';
 +
obs.popup += '<div>';
  
−
memo.gSmoothing = 4;
 
 
if ( i18n[memo.obscode]['type'] == 'cat') {
 
if ( i18n[memo.obscode]['type'] == 'cat') {
−
memo.distF = 0.1;
+
obs.popup +='<b>' + i18n[memo.obscode]['title'][memo.lang] + ': ' + i18n[memo.obscode]['catNames'][obs.value][memo.lang] + '</b> ';
 +
} else if ( i18n[memo.obscode]['type'] == 'date') {
 +
obs.popup +='<b>' + i18n[memo.obscode]['title'][memo.lang] + '</b> ';
 
} else {
 
} else {
−
memo.distF = 0;
+
obs.popup +='<b>' + i18n[memo.obscode]['title'][memo.lang] + ': ' + (Math.round(obs.value * 10)/10).toString().replace( '.', i18n['dec'][memo.lang] ) + ' ' + i18n[memo.obscode]['unit'] + '</b> ';
−
}
+
}
 +
 
 +
obs.popup += '(' + obs.obsdatetime.inRelationToToday(memo.lang) + ')';
 +
obs.popup += '</div>';
 +
 +
if (!!obs.addInfo) {
 +
obs.popup += '<div style="margin-top: 5px;">' + obs.addInfo + '</div>';
 +
}
 +
obs.popup += '</div>';
 +
 
 +
}
  
−
// sort according to compare date
+
memo.obsMinDate = new Date( memo.obsMinDateMs );
−
memo.obsesA.sort( function( a, b ) { return a.compareDate - b.compareDate; });
+
memo.obsMaxDate = new Date( memo.obsMaxDateMs );
 +
memo.obsMinYear = memo.obsMinDate.getFullYear();
 +
memo.obsMaxYear = memo.obsMaxDate.getFullYear();
 +
memo.obsMinCompDate = new Date( memo.obsMinCompDateMs );
 +
memo.obsMaxCompDate = new Date( memo.obsMaxCompDateMs );
  
−
// make week averages
+
memo.obsesA = []; memo.dataA = [];
−
memo.avgW = {};
 
−
for (var o in memo.obsesA) {
 
  
−
mwDate = new Date( memo.obsesA[o].compareDate.getFullYear(), memo.obsesA[o].compareDate.getMonth(), memo.obsesA[o].compareDate.getDate() );
+
for ( var o in memo.obses ) {
−
y = mwDate.getFullYear();
 
−
w = mwDate.getWeek();
 
−
v = memo.obsesA[o].value + memo.distF*Math.random() - memo.distF*Math.random();
 
  
−
if ( typeof memo.avgW[y] == 'undefined' ) { memo.avgW[y] = {}; }
+
obs = memo.obses[o];
  
−
if ( typeof memo.avgW[y][w] == 'undefined' ) {
+
// style points
−
mwDate.setDate( mwDate.getDate() - mwDate.getDay() + 3 )
+
if ( obs.seriesId == memo.curSeason ) {  
−
memo.avgW[y][w] = { cDate: mwDate, values: [ v ], sum: v, count: 1, avg: v };  
+
baseSize = 6;
−
} else {
+
} else if (memo.obsesTotal < 100) {
−
memo.avgW[y][w].values.push( v );
+
baseSize = 4;
−
memo.avgW[y][w].sum += v;  
+
} else if (memo.obsesTotal < 200) {
−
memo.avgW[y][w].count++;
+
baseSize = 3;  
−
memo.avgW[y][w].avg = memo.avgW[y][w].sum / memo.avgW[y][w].count;
+
} else if (memo.obsesTotal < 300) {
−
}
+
baseSize = 2;
 +
} else {
 +
baseSize = 2;
 
}
 
}
  
−
console.log(memo.avgW);
+
//if ( memo.graphType == 'dateofyear' ) { baseSize = baseSize + 1; }
 +
 +
if ( memo.maintainerShow ) { maintcol = maintColors[obs.maintainer]; }
 +
else { maintcol = 'transparent'; }
  
−
// calculate standard deviation
+
if (!!obs.addInfo) {
−
devSum = 0;
+
obs.style = 'point { shape-type: star; size: ' + (baseSize+3) + '; shape-dent: 0.5; stroke-width: 0; stroke-color: ' + maintcol + '; }';
−
devC = 0;
+
} else {
−
devMax = 0;
+
obs.style = 'point { size: ' + baseSize + '; stroke-width: 0.5; stroke-color: ' + maintcol + '; }';
−
for ( var y in memo.avgW ) {
 
−
for ( var w in memo.avgW[y] ) {
 
−
devC++;
 
−
devx = 0;
 
−
for (var vi in memo.avgW[y][w].values ) {
 
−
devx += Math.pow( (memo.avgW[y][w].values[vi] - memo.avgW[y][w].avg), 2 );
 
−
}
 
−
memo.avgW[y][w].dev = Math.sqrt( devx/memo.avgW[y][w].count );
 
−
devSum += memo.avgW[y][w].dev;
 
−
devMax = Math.max( memo.avgW[y][w].dev, devMax );
 
−
}
 
 
}
 
}
  
−
devAvg = devSum/devC;
+
memo.obsesA.push( obs );
 +
 
 +
}
 +
 
 +
// sort
 +
memo.obsesA.sort( function(a, b) { return a.obsdatetime - b.obsdatetime; });
  
−
for ( var y in memo.avgW ) {
+
// create DataTable
−
for ( var w in memo.avgW[y] ) {
+
memo.data = new google.visualization.DataTable();
−
if ( memo.avgW[y][w].count < 5 ) {
+
 
−
//memo.avgW[y][w].dev = Math.max( memo.avgW[y][w].dev, devAvg );
+
// col for xAxis values
−
}
+
memo.data.addColumn( 'date', 'time' );
−
}
+
 
 +
// make ticks for y axis on cat types
 +
if ( i18n[memo.obscode]['type'] == 'cat') {
 +
memo.options.vAxis.ticks = [];
 +
for (var c in i18n[memo.obscode]['catNamesShort']) {
 +
memo.options.vAxis.ticks.push({v: parseInt(c), f: i18n[memo.obscode]['catNamesShort'][c][memo.lang] });
 +
memo.options.vAxis.ticks.push({v: parseInt(c)+0.5, f: '' });
 
}
 
}
 +
memo.options.vAxis.ticks.sort( function(a, b) { return a.v-b.v } );
 +
memo.options.vAxis.viewWindow = { min: -0.5, max: parseInt(memo.options.vAxis.ticks[memo.options.vAxis.ticks.length-1].v)+0.5 };
 +
memo.options.vAxis.gridlines.color = '#eee';
 +
memo.options.vAxis.baselineColor = 'none';
 +
} else if ( typeof i18n[memo.obscode]['min'] != 'undefined' ) {
 +
memo.options.vAxis.viewWindow = { min: i18n[memo.obscode]['min'] };
 +
} else if ( memo.obsMinValue >= 0) {
 +
memo.options.vAxis.viewWindow = { min: 0 };
 +
}
 +
 +
memo.titleEl.html( i18n[ memo.obscode ].title[ memo.lang ] );
 +
memo.titleEl.append( '&nbsp;<button style="padding: 0 0.25em; font-size: 13px; margin-bottom: 3px;" type="button" class="btn btn-secondary btn-info" data-toggle="tooltip" data-placement="top" title="' + i18n[ memo.obscode ].changes[ memo.lang ] + '">' + i18n[ 'new' ][ memo.lang ] + '</button>' );
 +
jQuery( '[data-toggle="tooltip"]' ).tooltip();
 +
 +
if (memo.graphType == 'trend') {
 +
 +
addDataToTrendChart(memo);
 +
 +
} else if (memo.graphType == 'season') {
 +
 +
addDataToSeasonChart(memo);
  
−
memo.avgWlist = [];
+
} else if (memo.graphType == 'dateofyear') {
  
−
for ( var y in memo.avgW ) {
+
addDataToDateOfYearChart( memo );
−
for ( var w in memo.avgW[y] ) {
 
−
memo.avgWlist.push( { y: parseInt(y), w: parseInt(w), avg: memo.avgW[y][w].avg, dev: memo.avgW[y][w].dev } );
 
−
}
 
−
}
 
  
−
memo.avgWlist.sort( function(a, b) { return (a.y*100+a.w) - (b.y*100+b.w); });
+
}
  
−
//console.log(memo.avgWlist);
+
}
  
−
firstY = memo.avgWlist[0].y;
+
function addDataToDateOfYearChart( memo ) {
−
firstW = memo.avgWlist[0].w;
 
−
lastY = memo.avgWlist[memo.avgWlist.length-1].y;
 
−
lastW = memo.avgWlist[memo.avgWlist.length-1].w;
 
  
−
memo.avgMlist = [];
+
// do X axis min and max for this chart type
−
memo.avgLlist = [];
+
memo.options.hAxis.minValue = new Date( memo.obsMinDateMs );
−
memo.avgHlist = [];
+
if ( memo.season = 'winter' && memo.options.hAxis.minValue.getMonth() < 8 ) { memo.options.hAxis.minValue.setFullYear( memo.options.hAxis.minValue.getFullYear()-1 ); }
 +
memo.options.hAxis.minValue.setMonth(0);
 +
memo.options.hAxis.minValue.setDate(1);
 +
memo.options.hAxis.viewWindow.min = memo.options.hAxis.minValue;
  
−
for ( var y=firstY; y<=lastY; y++ ) {
+
memo.options.hAxis.maxValue = new Date( memo.obsMaxDateMs );
 +
if ( memo.season = 'winter' && memo.options.hAxis.maxValue.getMonth() > 7 ) { memo.options.hAxis.maxValue.setFullYear( memo.options.hAxis.maxValue.getFullYear()+1 ); }
 +
else { memo.options.hAxis.maxValue.setFullYear( memo.options.hAxis.maxValue.getFullYear()+1 ); }
 +
memo.options.hAxis.maxValue.setMonth(11);
 +
memo.options.hAxis.maxValue.setDate(31);
 +
memo.options.hAxis.viewWindow.max = memo.options.hAxis.maxValue;
  
−
if ( y == firstY ) { w1 = firstW; }
+
// do Y axis min and max for this chart type
−
else { w1 = 1; }
+
memo.options.vAxis.minValue = new Date( memo.obsMinCompDate.getTime() );
 +
memo.options.vAxis.minValue.setDate(1);
 +
memo.options.vAxis.viewWindow.min = memo.options.vAxis.minValue;
  
−
if ( y == lastY ) { w2 = lastW; }
+
memo.options.vAxis.maxValue = new Date( memo.obsMaxCompDate.getTime() );
−
else { w2 = 52; }
+
memo.options.vAxis.maxValue.setMonth( memo.options.vAxis.maxValue.getMonth()+1 );
 +
memo.options.vAxis.maxValue.setDate(0);
 +
memo.options.vAxis.viewWindow.max = memo.options.vAxis.maxValue;
  
−
for ( var w=w1; w<=w2; w++) {
+
// do Y axis ticks and gridlines
 +
memo.options.vAxis.ticks = [];
 +
memo.vAxisGridlines = [];
 +
memo.options.vAxis.gridlines = { color: 'transparent' };
 +
memo.options.vAxis.minorGridlines = { color: 'transparent' };
 +
minM = memo.options.vAxis.minValue.getMonth();
 +
maxM = memo.options.vAxis.maxValue.getMonth();
  
−
//console.log( y + '/' + w );
+
if ( minM > maxM ) { mc = 13-minM+maxM; }
 +
else { mc = maxM-minM+1; }
  
−
if ( typeof(memo.avgW[y][w]) == 'undefined' ) {
+
for ( mi = 0; mi < mc; mi++ ) {
  
−
memo.avgMlist.push( null );
+
mx = minM+mi;
−
memo.avgLlist.push( null );
+
yx = memo.options.vAxis.minValue.getFullYear();
−
memo.avgHlist.push( null );
+
if ( mx > 11 ) { yx = memo.options.vAxis.maxValue.getFullYear(); mx = mx - 12; }
  
 +
startOfMonth = new Date( yx, mx, 1 );
 +
middleOfMonth = new Date( yx, mx, 15 );
  
−
} else {
+
// ticks
−
memo.avgMlist.push( memo.avgW[y][w].avg );
+
memo.options.vAxis.ticks.push( { v: middleOfMonth, f: i18n['months'][mx]['long'][memo.lang] } );
 +
 
 +
// gridlines except for first
 +
if (mi > 0) {
 +
memo.vAxisGridlines.push( new Date( startOfMonth.getTime() ) );
 +
}
 +
}
 +
 
 +
memo.seriesO = {};
 +
 
 +
for ( var o in memo.obsesA ) {
 +
obs = memo.obsesA[ o ];
 +
s = obs.seriesId;
 +
if ( typeof memo.seriesO[ s ] == 'undefined' ) {
 +
memo.seriesO[ s ] = { 'id': s, 'order': parseInt( obs.data.cat ), 'title': i18n[ s ].title[ memo.lang ], 'type': 'scatter', 'color': i18n[ s ].color, 'obses': []  };
 +
}
 +
obs.xvalue = obs.seasonmiddle;
 +
obs.yvalue = obs.compareDate;
 +
obs.value = obs.obsdatetime.toLocaleDateString( memo.lang );
 +
obs.valueUnit = i18n[ 'Date' ][ memo.lang ];
 +
obs.tooltip = '<p><b>' + i18n[ 'season' ][ 'winter' ][ memo.lang ] + '&nbsp;' + obs.season + '&ndash;' + (obs.season+1) + '</b></p>';
 +
obs.tooltip += '<p>' + i18n[ s ].title2[ memo.lang ] + ':&nbsp;' + obs.obsdatetime.toLocaleDateString( memo.lang ) + '</p>';
 +
obs.tooltip += obs.addInfo;
 +
memo.seriesO[ s ].obses.push( obs );
 +
}
 +
 
 +
// create ice cover series
 +
if ( memo.obscode == 'ice_cat_2,5' ) {
 +
memo.obsesS = {};
 +
for ( var o in memo.obsesA ) {
 +
var obs = memo.obsesA[ o ];
  
−
if ( memo.avgW[y][w].count < 2 ) {  
+
if ( typeof memo.obsesS[ obs.season ] == 'undefined' ) {
−
d = Math.max( devMax, memo.avgW[y][w].dev );
+
memo.obsesS[ obs.season ] = { 'maintainer': obs.maintainer };
−
} else if ( memo.avgW[y][w].count < 4 ) {  
+
}
−
d = Math.max( devAvg, memo.avgW[y][w].dev );
 
−
} else {
 
−
d = memo.avgW[y][w].dev;  
 
−
}
 
  
−
if ( i18n[memo.obscode].type == 'cat' && ( memo.avgW[y][w].avg - 2*memo.avgW[y][w].dev ) < -memo.distF ) {
+
if ( obs.data.cat == '2' ) {
−
memo.avgLlist.push( -memo.distF*Math.random()*2 );
+
memo.obsesS[ obs.season ][ 'low' ] = obs.compareDate;
−
} else {
+
} else if ( obs.data.cat == '5' ) {
−
memo.avgLlist.push( memo.avgW[y][w].avg - 2*d ); //memo.avgW[y][w].dev );
+
memo.obsesS[ obs.season ][ 'high' ] = obs.compareDate;
−
}
+
}
 +
if ( memo.obsesS[ obs.season ][ 'maintainer' ] != obs.maintainer ) { memo.obsesS[ obs.season ][ 'maintainer' ] = ''; }
  
−
memo.avgHlist.push( memo.avgW[y][w].avg + 2*d ); //memo.avgW[y][w].dev );
+
if ( typeof memo.obsesS[ obs.season ][ 'low' ] != 'undefined' && typeof memo.obsesS[ obs.season ][ 'high' ] != 'undefined' ) {
 +
days = Math.round( ( memo.obsesS[ obs.season ][ 'high' ].getTime() - memo.obsesS[ obs.season ][ 'low' ].getTime() ) / ( 1000*60*60*24 ) );
 +
if ( typeof memo.seriesO[ 'ice_cat_2,5' ] == 'undefined' ) {
 +
memo.seriesO[ 'ice_cat_2,5' ] = { 'id': 'ice_cat_2,5', 'order': 10, 'title': i18n[ 'ice_cat_2,5' ].title[ memo.lang ], 'type': 'candlestick', 'color': i18n[ 'ice_cat_2,5' ].color, obses: [] };
 
}
 
}
 +
memo.seriesO[ 'ice_cat_2,5' ].obses.push( { 'obsdatetime': obs.obsdatetime, 'season': obs.season, 'value': days, 'valueUnit': i18n[ 'days' ][ memo.lang ], 'addInfo': '', 'maintainer': memo.obsesS[ obs.season ][ 'maintainer' ], 'xvalue': obs.seasonmiddle, 'low': memo.obsesS[ obs.season ][ 'low' ], 'high': memo.obsesS[ obs.season ][ 'high' ], 'tooltip': '<p><b>' + i18n[ 'season' ][ 'winter' ][ memo.lang ] + '&nbsp;' + obs.season + '&ndash;' + (obs.season+1) + '</b></p><p>' + i18n[ 'ice_cat_2,5' ].title[ memo.lang ] + ':&nbsp;' + days + '&nbsp;' + i18n[ 'days' ][ memo.lang ] + '</p>' } );
 +
}
 +
 +
}
 +
}
 +
 +
memo.seriesA = []; for ( var s in memo.seriesO ) { memo.seriesA.push( memo.seriesO[s] ) };
 +
memo.seriesA.sort( function( a, b ) { return a.order-b.order; } );
 +
 +
for ( var s in memo.seriesA ) {
 +
 +
if ( memo.seriesA[ s ].type == 'scatter' ) {
 +
 +
memo.data.addColumn( 'date', memo.seriesA[ s ].title ); // + ' ' + memo.obsMinYear + '-' + memo.obsMaxYear );
 +
memo.data.addColumn( { type: 'string', 'role': 'style' } );
 +
memo.data.addColumn( { type: 'string', role: 'tooltip', 'p': { 'html': true } } );
 +
memo.data.addColumn( { type: 'string', role: 'annotation' } );
 +
 +
memo.options.series.push( { type: 'scatter', pointType: 'circle', pointSize: 9, color: memo.seriesA[ s ].color  } );
 +
 +
if ( memo.seriesA[ s ].obses.length > 1 ) {
 +
memo.options.trendlines[ memo.options.series.length - 1 ] = { type: 'linear', title: i18n.trendline, lineWidth: 2.33, visibleInLegend: false, tooltip: false };
 +
} else {
 +
memo.options.trendlines[ memo.options.series.length - 1 ] = { type: 'linear', title: i18n.trendline, lineWidth: 0, color: 'transparent', visibleInLegend: false, tooltip: false };
 
}
 
}
−
}
 
  
−
//console.log(memo.avgMlist);
+
} else if ( memo.seriesA[ s ].type == 'candlestick' ) {
 +
 
 +
memo.data.addColumn( 'date', memo.seriesA[ s ].title );
 +
memo.data.addColumn( 'date', '' );
 +
memo.data.addColumn( 'date', '' );
 +
memo.data.addColumn( 'date', '' );        
 +
memo.data.addColumn({ role: 'tooltip', 'p': { 'html': true } });        
 +
 
 +
memo.options.series.push( { type: 'candlesticks', color: memo.seriesA[ s ].color, strokeWidth: 2, stroke: '#cccccc'  } );
 +
 
 +
}
 +
 
 +
}
 +
 
 +
// add data to table
 +
cc = memo.data.getNumberOfColumns();
 +
var st = 0;
 +
for ( var s in memo.seriesA ) {
 +
 
 +
for ( var o in memo.seriesA[ s ].obses ) {
 +
 
 +
obs = memo.seriesA[ s ].obses[ o ];
 +
 
 +
dataRow = [];
 +
 
 +
// fill row with nulls
 +
for ( var i=0; i<cc; i++ ) { dataRow.push( null ); }
  
−
for ( var i=0; i<memo.avgMlist.length; i++ ) {
+
// x axis value
 +
dataRow[ 0 ] = obs.xvalue;
  
−
if ( memo.avgMlist[i] === null ) {
+
if ( memo.seriesA[ s ].type == 'candlestick' ) {
  
−
lastM = memo.avgMlist[i-1];
+
dataRow[ st+1 ] = obs.low;
−
lastL = memo.avgLlist[i-1];
+
dataRow[ st+2 ] = obs.low;
−
lastH = memo.avgHlist[i-1];
+
dataRow[ st+3 ] = obs.high;
 +
dataRow[ st+4 ] = obs.high;
 +
dataRow[ st+5 ] = obs.tooltip;
  
−
for ( var ix=(i+1); ix < memo.avgMlist.length; ix++ ) {
+
} else if ( memo.seriesA[ s ].type == 'scatter' ) {
  
−
if ( memo.avgMlist[ix] !== null ) {
+
dataRow[ st+1 ] = obs.yvalue;
 +
dataRow[ st+2 ] = obs.style;
 +
dataRow[ st+3 ] = obs.tooltip;
 +
dataRow[ st+4 ] = null;
 +
}
  
−
memo.avgMlist[i] = lastM + (memo.avgMlist[ix]-lastM) / (ix-i+1);
+
memo.dataA.push( dataRow );
−
memo.avgLlist[i] = lastL + (memo.avgLlist[ix]-lastL) / (ix-i+1);
 
−
memo.avgHlist[i] = lastH + (memo.avgHlist[ix]-lastH) / (ix-i+1);  
 
  
−
break;
 
−
}
 
−
}
 
−
}
 
 
}
 
}
  
−
//console.log(memo.avgMlist);
+
if ( memo.seriesA[ s ].type == 'candlestick' ) {
 +
st += 5;
 +
} else if ( memo.seriesA[ s ].type == 'scatter' ) {
 +
st += 4;
 +
}
  
−
// if full year
+
}
−
if ( memo.avgMlist.length >= 52 ) {
+
 +
/*
 +
// linear trend line
 +
//memo.options.trendlines[0] = { labelInLegend: i18n['trendline'][memo.lang], tooltip: false, color: colors['trend'], lineWidth: 2, opacity: 0.5, type: 'linear', visibleInLegend: memo.trendType!='moving' };
  
−
memo.avgMlist = memo.avgMlist.slice( memo.avgMlist.length - memo.gSmoothing/2 - 2 ).concat( memo.avgMlist ).concat( memo.avgMlist.slice( 0, memo.gSmoothing/2 + 2 ) );
+
// data columns for vAxis gridlines
−
memo.avgLlist = memo.avgLlist.slice( memo.avgLlist.length - memo.gSmoothing/2 - 2 ).concat( memo.avgLlist ).concat( memo.avgLlist.slice( 0, memo.gSmoothing/2 + 2 ) );
+
for (g=0; g < memo.vAxisGridlines.length; g++) {
−
memo.avgHlist = memo.avgHlist.slice( memo.avgHlist.length - memo.gSmoothing/2 - 2 ).concat( memo.avgHlist ).concat( memo.avgHlist.slice( 0, memo.gSmoothing/2 + 2 ) );
+
memo.data.addColumn( 'date', 'vAxis gridline_' + g );
 +
memo.options.series[g+1] = { type: 'line', pointSize: 0, lineWidth: 1, color: '#eee', XlineDashStyle: [3, 3], visibleInLegend: false };
 +
}
  
−
} else {
 
  
−
for (var x=0; x < ( memo.gSmoothing/2 + 3 ); x++) {
+
// add gridlines
 +
for (g=0; g < memo.vAxisGridlines.length; g++) {
 +
 
 +
dataRow1 = [];
 +
dataRow2 = [];
 +
 
 +
// fill rows with nulls
 +
for (var i=0; i<noc; i++) { dataRow1.push( null ); dataRow2.push( null ); }
 +
 
 +
dataRow1[0] = memo.options.hAxis.minValue;
 +
dataRow2[0] = memo.options.hAxis.maxValue;
 +
 
 +
dataRow1[5+g] = memo.vAxisGridlines[g];
 +
dataRow2[5+g] = memo.vAxisGridlines[g];
  
−
if ( memo.obscode == 'secchi' ) {
+
memo.dataA.push( dataRow1 );
−
prev = Math.max ( memo.avgMlist[0], 0 );
+
memo.dataA.push( dataRow2 );
−
next = Math.max ( memo.avgMlist[memo.avgMlist.length-1], 0 );
+
}
−
} else {
+
*/
−
prev = Math.max ( 2 * memo.avgMlist[0] - memo.avgMlist[1], 0 );
 
−
next = Math.max ( 2 * memo.avgMlist[memo.avgMlist.length-1] - memo.avgMlist[memo.avgMlist.length-2], 0 );
 
−
}
 
  
−
memo.avgMlist.unshift( prev );
+
drawChart(memo);
−
memo.avgMlist.push( next );
 
  
−
memo.avgLlist.unshift( prev - 2 * devAvg );
+
}
−
memo.avgLlist.push( next - 2 * devAvg );
 
  
−
memo.avgHlist.unshift( prev + 2 * devAvg );
+
function addDataToTrendChart(memo) {
−
memo.avgHlist.push( next + 2 * devAvg );
 
  
 +
// do axis min and max
 +
memo.axisMinDate = new Date(memo.obsMinDate.getTime());
 +
memo.axisMaxDate = new Date(memo.obsMaxDate.getTime());
 +
memo.axisMinDate.setMonth(0);
 +
memo.axisMaxDate.setMonth(11);
 +
memo.axisMinDate.setDate(1);
 +
memo.axisMaxDate.setDate(31);
  
−
}
+
memo.data.addColumn( 'number', memo.obsMinYear + '-' + memo.obsMaxYear );
 +
memo.data.addColumn( {'type': 'string', 'role': 'style' } );
 +
memo.data.addColumn( { type: 'string', role: 'annotation' } );
 +
memo.data.addColumn( { type: 'string', role: 'tooltip', 'p': { 'html': true } } );
  
−
}
+
// series for trend line
 +
memo.options.trendlines[0] = { labelInLegend: i18n['trendline'][memo.lang], tooltip: false, color: colors['trend'], lineWidth: 2, opacity: 0.5, type: 'linear', visibleInLegend: memo.trendType!='moving' };
  
−
memo.avgMsmooth = smooth( memo.avgMlist, memo.gSmoothing );
 
−
memo.avgLsmooth = smooth( memo.avgLlist, memo.gSmoothing );
 
−
memo.avgHsmooth = smooth( memo.avgHlist, memo.gSmoothing );
 
  
 +
for (var o in memo.obsesA) {
  
−
//console.log(memo.avgMlist);
+
//dataRow = [];
−
//console.log(memo.avgLsmooth);
 
  
−
cc = memo.data.getNumberOfColumns();
+
//if (!!memo.obsesA[o].addInfo) {
 +
//dataArr.push( [ memo.obsesA[o].obsdatetime, memo.obsesA[o].value, 0, memo.obsesA[o].value, memo.obsesA[o].value, 'point { size: 5; fill-color: #0076b0; stroke-width: 2; stroke-color: ' + maintColors[memo.obsesA[o].maintainer] + '; }', '', memo.obsesA[o].popup ] );
 +
//memo.dataA.push( [ memo.obsesA[o].obsdatetime, memo.obsesA[o].value, 'point { size: 5; fill-color: #0076b0; stroke-width: 2; stroke-color: ' + maintColors[memo.obsesA[o].maintainer] + '; }', null, memo.obsesA[o].popup ] );
 +
memo.dataA.push( [ memo.obsesA[o].obsdatetime, memo.obsesA[o].value, memo.obsesA[o].style, null, memo.obsesA[o].popup ] );
 +
//} else {
 +
//dataArr.push( [ memo.obsesA[o].obsdatetime, memo.obsesA[o].value, 0, memo.obsesA[o].value, memo.obsesA[o].value, 'point { size: 4; fill-color: #5893b0; stroke-width: 2; stroke-color: ' + maintColors[memo.obsesA[o].maintainer] + '; }', '', memo.obsesA[o].popup ] );
 +
//memo.dataA.push( [ memo.obsesA[o].obsdatetime, memo.obsesA[o].value, 'point { size: 4; fill-color: #5893b0; stroke-width: 2; stroke-color: ' + maintColors[memo.obsesA[o].maintainer] + '; }', null, memo.obsesA[o].popup ] );
 +
//}
  
−
msW = 7*24*60*60*1000;
+
//memo.dataA.push( dataRow );
  
−
for ( var i=0; i < ( memo.avgMsmooth.length ); i++ ) {
+
}
  
−
// put data into dataArr
+
memo.options.hAxis.ticks = [];
−
dataRow = [];
+
for (i=memo.axisMinDate.getFullYear(); i<=memo.axisMaxDate.getFullYear(); i++) {
−
for (var e=0; e<cc; e++) { dataRow.push( null ); }
+
middleOfYear = new Date( i, 6, 1 );
 +
memo.options.hAxis.ticks.push({v: middleOfYear, f: String(i) });
 +
}
  
−
dataRow[0] = new Date( memo.avgW[firstY][firstW].cDate.getTime() + (i - 1)*msW );
+
memo.options.series[0] = {type: 'scatter', pointSize: 6, color: '#3366cc'  };
  
−
//dataRow[cc-4] = memo.avgMlist[i];
+
drawChart(memo);
  
−
dataRow[cc-4] = memo.avgMsmooth[i];
+
}
−
dataRow[cc-3] = memo.avgLsmooth[i];
 
−
dataRow[cc-2] = memo.avgHsmooth[i];
 
  
−
//dataRow[cc-3] = Math.min( memo.avgLsmooth[i], memo.avgMlist[i+memo.gSmoothing/2+2] );
+
function addDataToSeasonChart( memo ) {
−
//dataRow[cc-2] = Math.max( memo.avgHsmooth[i], memo.avgMlist[i+1] );
+
 +
if ( i18n[memo.obscode]['type'] == 'cat') {
 +
memo.distF = 0.1;
 +
} else {
 +
memo.distF = 0;
 +
}
 +
 
 +
// set x-axis min and max for season chart
 +
memo.axisMinDate = new Date( memo.obsMinCompDateMs );
 +
memo.axisMinDate.setDate(1);
 +
memo.axisMaxDate = new Date( memo.obsMaxCompDateMs );
 +
memo.axisMaxDate.setMonth( memo.axisMaxDate.getMonth()+1 );
 +
memo.axisMaxDate.setDate(0);
 +
 
 +
// create series of each season
 +
memo.seasonsO = {};
 +
memo.seasonsA = [];
 +
memo.seriesO = {};
 +
memo.seriesA = [];
 +
 +
for ( var o in memo.obsesA ) {
 +
s = memo.obsesA[o].seriesId;
 +
if ( typeof memo.seasonsO[ s ] == 'undefined' ) { memo.seasonsO[ s ] = { 'id': s, 'obses': [] }; }
 +
memo.seasonsO[s].obses.push( memo.obsesA[o] );
 +
}
 +
for ( var s in memo.seasonsO ) { memo.seasonsA.push( memo.seasonsO[ s ] ); } memo.seasonsA.sort( function(a,b) { return b-a; } );
 +
 +
for ( var s in memo.seasonsA ) {
 +
var legend = false;
 +
var color = colors.obses;
 +
var size = 6;
 +
var line = 0;
 +
if ( memo.seasonsA[ s ].id == memo.curSeason ) {
 +
legend = true; color = colors.curObses;
 +
size = 9;
 +
line = 4;
 +
}
 +
memo.seriesA.push( { 'type': 'scatter', 'title': memo.seasonsA[ s ].id, 'color': color, 'size': size, 'line': line, 'legend': legend, 'trendline': 'none', obses: [] } );
 +
for ( var o in memo.seasonsA[ s ].obses ) {
 +
memo.seriesA[ memo.seriesA.length - 1 ].obses.push( {
 +
'x': memo.seasonsA[ s ].obses[ o ].compareDate,
 +
'y': memo.seasonsA[ s ].obses[ o ].value,
 +
'style': memo.seasonsA[ s ].obses[ o ].style,
 +
'tooltip': memo.seasonsA[ s ].obses[ o ].popup,
 +
'annotation': null
 +
});
 +
}
 +
}
 +
memo.seriesA.push( { 'type': 'scatter', 'title': memo.obsMinDate.getFullYear() + '-' + memo.obsMaxDate.getFullYear(), 'color': colors.obses, 'size': 6, 'line': 0, 'legend': true, 'trendline': 'none', obses: [] } );
 +
 +
// make week averages
 +
memo.avgW = {};
 +
for (var o in memo.obsesA) {
 +
 
 +
mwDate = new Date( memo.obsesA[o].compareDate.getTime() );
 +
w = mwDate.getWeek();
 +
v = memo.obsesA[o].value;
 +
 +
console.log( mwDate.toLocaleDateString() );
 +
console.log( w );
 +
 +
if ( typeof memo.avgW[w] == 'undefined' ) { 
 +
mwDate.setDate( mwDate.getDate() - mwDate.getDay() + 3 )
 +
memo.avgW[w] = { week: w, cDate: new Date( mwDate.getTime() ), values: [ v ], sum: v, count: 1, avg: v };
 +
} else {
 +
memo.avgW[w].values.push( v );
 +
memo.avgW[w].sum += v;
 +
memo.avgW[w].count++;
 +
memo.avgW[w].avg = memo.avgW[w].sum / memo.avgW[w].count;
 +
}
 +
}
 +
 +
memo.avgWA = [];
 +
if ( memo.season == 'summer' ) {
 +
for ( var w=1; w<54; c++ ) {
 +
if ( typeof memo.avgW[ w ] != 'undefined' ) { memo.avgWA.push( memo.avgW[ w ] ); }
 +
}
 +
} else {
 +
for ( var w=30; w<54; w++ ) {
 +
if ( typeof memo.avgW[ w ] != 'undefined' ) { memo.avgWA.push( memo.avgW[ w ] ); }
 +
}
 +
for ( var w=1; w<30; w++ ) {
 +
if ( typeof memo.avgW[ w ] != 'undefined' ) { memo.avgWA.push( memo.avgW[ w ] ); }
 +
}
 +
}
 +
 +
 +
// make running average of week averages
 +
for ( var w=0; w<memo.avgWA.length; w++ ) {
 +
if ( w == 0 ) {
 +
//memo.avgWA[ w ].running = ( memo.avgWA[ w ].sum + memo.avgWA[ w+1 ].sum ) / ( memo.avgWA[ w ].count + memo.avgWA[ w+1 ].count );
 +
memo.avgWA[ w ].running = ( memo.avgWA[ w ].avg );
 +
} else if ( w == ( memo.avgWA.length - 1) ) {
 +
//memo.avgWA[ w ].running = ( memo.avgWA[ w ].sum + memo.avgWA[ w-1 ].sum ) / ( memo.avgWA[ w ].count + memo.avgWA[ w-1 ].count );
 +
memo.avgWA[ w ].running = ( memo.avgWA[ w ].avg );
 +
} else if ( w == 1 || w == (memo.avgWA.length - 2) ) {
 +
memo.avgWA[ w ].running = ( memo.avgWA[ w ].sum + memo.avgWA[ w-1 ].sum ) / ( memo.avgWA[ w ].count + memo.avgWA[ w-1 ].count );
 +
} else {
 +
memo.avgWA[ w ].running = ( memo.avgWA[ w-2 ].sum + memo.avgWA[ w-1 ].sum + memo.avgWA[ w ].sum + memo.avgWA[ w+1 ].sum + memo.avgWA[ w+2 ].sum ) / ( memo.avgWA[ w-2 ].count + memo.avgWA[ w-1 ].count + memo.avgWA[ w ].count + memo.avgWA[ w+1 ].count + memo.avgWA[ w+2 ].count );
 +
}
 +
 +
}
 +
 +
console.log( memo.avgWA );
 +
 +
memo.seriesA.push( { 'type': 'area', 'title': 'Running', 'color': colors.average, 'size': 3, 'line': 2.33, 'legend': true, 'trendline': 'none', obses: [] } );
 +
for ( var w in memo.avgWA ) {
 +
memo.seriesA[ memo.seriesA.length - 1 ].obses.push( {
 +
'x': memo.avgWA[ w ].cDate,
 +
'y': memo.avgWA[ w ].running,
 +
'style': null,
 +
'tooltip': null,
 +
'annotation': null
 +
});
 +
 +
}
 +
 +
// add columns
 +
for ( var s in memo.seriesA ) {
  
−
memo.dataA.push( dataRow );
+
if ( memo.seriesA[ s ].type == 'scatter' ) {
−
}
 
  
−
memo.options.intervals = { 'style':'area' };
+
memo.data.addColumn( 'number', memo.seriesA[ s ].title );
 +
memo.data.addColumn( { type: 'string', 'role': 'style' } );
 +
memo.data.addColumn( { type: 'string', role: 'tooltip', 'p': { 'html': true } } );
 +
memo.data.addColumn( { type: 'string', role: 'annotation' } );
  
 +
memo.options.series.push( { type: 'line', curveType: 'function', pointType: 'circle', pointSize: memo.seriesA[ s ].size, lineWidth: memo.seriesA[ s ].line, 'color': memo.seriesA[ s ].color, 'visibleInLegend': memo.seriesA[ s ].legend } );
  
−
//console.log(memo.dataA);
+
if ( memo.seriesA[ s ].trendline != 'none' ) {
 +
 +
if ( memo.seriesA[ s ].obses.length > 1 ) {
 +
memo.options.trendlines[ memo.options.series.length - 1 ] = { type: 'linear', title: i18n.trendline, lineWidth: 2.33, visibleInLegend: false, tooltip: false };
 +
} else {
 +
memo.options.trendlines[ memo.options.series.length - 1 ] = { type: 'linear', title: i18n.trendline, lineWidth: 0, color: 'transparent', visibleInLegend: false, tooltip: false };
 +
}
 +
}
  
−
} else if (memo.trendType == 'moving') {
+
} else if ( memo.seriesA[ s ].type == 'area' ) {
  
−
//
+
memo.data.addColumn( 'number', memo.seriesA[ s ].title );
−
}
+
memo.data.addColumn( { type: 'string', 'role': 'style' } );
 +
memo.data.addColumn( { type: 'string', role: 'tooltip', 'p': { 'html': true } } );
 +
memo.data.addColumn( { type: 'string', role: 'annotation' } );
  
−
// add data to table
+
memo.options.series.push( { type: 'area', curveType: 'function', pointType: 'circle', pointSize: memo.seriesA[ s ].size, lineWidth: memo.seriesA[ s ].line, 'color': memo.seriesA[ s ].color, 'visibleInLegend': memo.seriesA[ s ].legend } );
−
cc = memo.data.getNumberOfColumns();
 
−
for (var s in memo.seasonsA) {
 
  
−
for (var o in memo.seasonsO[memo.seasonsA[s]].obses) {
+
if ( memo.seriesA[ s ].trendline != 'none' ) {
 +
 +
if ( memo.seriesA[ s ].obses.length > 1 ) {
 +
memo.options.trendlines[ memo.options.series.length - 1 ] = { type: 'linear', title: i18n.trendline, lineWidth: 2.33, visibleInLegend: false, tooltip: false };
 +
} else {
 +
memo.options.trendlines[ memo.options.series.length - 1 ] = { type: 'linear', title: i18n.trendline, lineWidth: 0, color: 'transparent', visibleInLegend: false, tooltip: false };
 +
}
 +
}
  
−
obs = memo.seasonsO[memo.seasonsA[s]].obses[o];
+
}
 +
}
  
 +
 +
// add data
 +
var cc = memo.data.getNumberOfColumns();
 +
for ( var s in memo.seriesA ) {
 +
for (var o in memo.seriesA[s].obses ) {
 +
 +
obs = memo.seriesA[s].obses[o];
 +
 
dataRow = [];
 
dataRow = [];
  
Rivi 310: Rivi 775:
  
 
// x axis value
 
// x axis value
−
dataRow[0] = obs.compareDate;
+
dataRow[0] = obs.x;
−
 
+
 
// data for series cols
 
// data for series cols
−
if ( memo.seasonsA[s] == memo.curSeason ) {
+
if ( memo.seriesA[ s ].id == memo.curSeason ) {
−
dataRow[s*4+1] = obs.value;
+
dataRow[s*4+1] = obs.y;
 
} else {
 
} else {
−
dataRow[s*4+1] = obs.value + memo.distF*Math.random() - memo.distF*Math.random();
+
dataRow[s*4+1] = obs.y + memo.distF*Math.random() - memo.distF*Math.random();
 
}
 
}
 
dataRow[s*4+2] = obs.style;
 
dataRow[s*4+2] = obs.style;
−
dataRow[s*4+3] = obs.popup;
+
dataRow[s*4+3] = obs.tooltip;
−
dataRow[s*4+4] = null; //annotation
+
dataRow[s*4+4] = obs.annotation;
  
 
memo.dataA.push( dataRow );
 
memo.dataA.push( dataRow );
Rivi 326: Rivi 791:
 
}
 
}
  
−
}
+
}
 +
 +
 
 +
/*
 +
 +
 +
 +
 +
 +
 +
  
 
// make ticks for x axis
 
// make ticks for x axis
Rivi 364: Rivi 839:
 
}
 
}
 
}
 
}
 +
 +
*/
  
 
drawChart(memo);
 
drawChart(memo);
  
 
}
 
}
 +
 +
function drawChart(memo) {
 +
 +
if (memo.dataA.length > 0) {
 +
 +
memo.data.addRows(memo.dataA);
 +
 +
memo.chart = new google.visualization.ComboChart( memo.chartEl[0] );        // document.getElementById(memo.id)        
 +
 +
//doResize();
 +
 +
memo.fullscreenEl.fadeIn( "slow" );
 +
memo.downloadEl.fadeIn( "slow" );
 +
 +
memo.selectedCol = 0;
 +
google.visualization.events.addListener( memo.chart, 'select', function () {
 +
 +
var selection = memo.chart.getSelection();
 +
 +
if (selection.length > 0) {
 +
 +
var col = selection[0].column;
 +
 +
for (var c in memo.options.series) {
 +
if (memo.options.series[c].hideThis) {
 +
memo.options.series[c].lineWidth = 0;
 +
//memo.options.series[c].pointSize = memo.options.series[c].origSize;
 +
memo.options.series[c].color = colors['obses'];
 +
memo.options.series[c].visibleInLegend = false;
 +
}
 +
}
 +
 +
if (col != memo.selectedCol && memo.options.series[(col-1)/4].hideThis) {
 +
memo.selectedCol = col;
 +
memo.options.series[(col-1)/4].lineWidth = 3;
 +
//memo.options.series[(col-1)/4].pointSize = 12;
 +
memo.options.series[(col-1)/4].color = colors['selObses'];
 +
memo.options.series[(col-1)/4].visibleInLegend = true;
 +
} else {
 +
memo.selectedCol = 0;
 +
}
 +
 +
} else {
 +
 +
memo.selectedCol = 0;
 +
 +
for (var c in memo.options.series) {
 +
if (memo.options.series[c].hideThis) {
 +
memo.options.series[c].lineWidth = 0;
 +
//memo.options.series[c].pointSize = memo.options.series[c].origSize;
 +
memo.options.series[c].color = colors['obses'];
 +
memo.options.series[c].visibleInLegend = false;
 +
}
 +
}
 +
 +
}
 +
 +
//doResize();
 +
 +
});
 +
 +
memo.editEl.on( 'click', function() {
 +
 +
window.location.href = memo.editUrl;
 +
 +
});
 +
 +
memo.fullscreenEl.on( 'click', function() {
 +
 +
var elem = memo.widgetEl[0];
 +
 +
if (!!document.fullscreenElement) {
 +
 +
//memo.options.chartArea = { top: memo.margins.top, left: memo.margins.left, width: (memo.widgetEl.width() - memo.margins.left - memo.margins.right), height: (memo.widgetEl.height() - memo.margins.top - memo.margins.bottom), backgroundColor: { fill: '#daf0fa', stroke: '#fff', strokeWidth: 6 }};
 +
 +
if (document.exitFullscreen) {
 +
document.exitFullscreen();
 +
} else if (document.mozCancelFullScreen) { /* Firefox */
 +
document.mozCancelFullScreen();
 +
} else if (document.webkitExitFullscreen) { /* Chrome, Safari and Opera */
 +
document.webkitExitFullscreen();
 +
} else if (document.msExitFullscreen) { /* IE/Edge */
 +
document.msExitFullscreen();
 +
}
 +
 +
memo.fullscreenEl.find( 'button' ).html( '<i class="fas fa-expand"></i>' );
 +
 +
} else {
 +
 +
if (elem.requestFullscreen) {
 +
elem.requestFullscreen();
 +
} else if (elem.mozRequestFullScreen) { /* Firefox */
 +
elem.mozRequestFullScreen();
 +
} else if (elem.webkitRequestFullscreen) { /* Chrome, Safari and Opera */
 +
elem.webkitRequestFullscreen();
 +
} else if (elem.msRequestFullscreen) { /* IE/Edge */
 +
elem.msRequestFullscreen();
 +
}
 +
 +
memo.fullscreenEl.find( 'button' ).html( '<i class="fas fa-compress"></i>' );
 +
 +
}
 +
 +
//doResize();
 +
});
 +
 +
memo.downloadEl.on( 'click', function() {
 +
 +
var header = '';
 +
header += '\uFEFF'; // BOM
 +
var csv = '';
 +
//csv += '\r\nsep=,\r\n';
 +
 +
var headerCols = [];
 +
var csvCols = [];
 +
 +
if ( i18n[memo.obscode].type == 'num' ) {
 +
 +
//headerCols.push( i18n[ 'Date' ][ memo.lang ] );
 +
//headerCols.push( i18n[ 'Date' ][ memo.lang ] );
 +
headerCols.push( '"' + i18n[memo.obscode].axisTitleV[memo.lang] + '"' );
 +
headerCols.push( 'Lisätiedot' );
 +
headerCols.push( 'Valokuva' );
 +
headerCols.push( 'Havainnoijan status' );
 +
 +
header += headerCols.join( i18n['sep'][memo.lang] );
 +
 +
for ( var o in memo.obses ) {
 +
 +
csvCols = [];
 +
 +
csvCols.push( memo.obses[o].obsdatetime.getFullYear() + '-' +  ( memo.obses[o].obsdatetime.getMonth() + 1 ) + '-' + memo.obses[o].obsdatetime.getDate() );
 +
 +
if ( memo.obses[o].obsdatetime.getUTCHours() == 0 && memo.obses[o].obsdatetime.getUTCMinutes() == 0 && memo.obses[o].obsdatetime.getUTCSeconds() == 0 ) {
 +
csvCols.push( '' );
 +
} else {
 +
csvCols.push( ( "0" + memo.obses[o].obsdatetime.getUTCHours() ).slice(-2) + ':' + ( "0" + memo.obses[o].obsdatetime.getUTCMinutes() ).slice(-2) );
 +
}
 +
 +
csvCols.push( '"' + memo.obses[o].value.toString().replace( '.', i18n['dec'][memo.lang] ) + '"' );
 +
csvCols.push( memo.obses[o].addInfo );
 +
csvCols.push( '' );
 +
csvCols.push( memo.obses[o].maintainer );
 +
 +
csv += '\r\n' + csvCols.join( i18n['sep'][memo.lang] );
 +
 +
}
 +
 +
 +
} else if ( i18n[memo.obscode].type == 'date' ) {
 +
 +
if ( i18n[memo.obscode].season == 'winter' ) {
 +
header += i18n[ 'season' ][ i18n[memo.obscode].season ][ memo.lang ];
 +
} else {
 +
header += i18n[ 'year' ][ memo.lang ];
 +
}
 +
 +
header += ';' + i18n[ 'Observation' ][ memo.lang ];
 +
header += ';' + i18n[ 'Value' ][ memo.lang ];
 +
header += ';' + i18n[ 'ValueUnit' ][ memo.lang ];
 +
header += ';' + i18n[ 'Additionalinfo' ][ memo.lang ];
 +
header += ';' + i18n[ 'Image' ][ memo.lang ];
 +
header += ';' + i18n[ 'ObserverStatus' ][ memo.lang ];
 +
 +
for ( var s in memo.seriesA ) {
 +
 +
for ( var o in memo.seriesA[ s ].obses ) {
 +
 +
obs = memo.seriesA[ s ].obses[ o ];
 +
 +
csv += '\r\n';
 +
 +
csv += obs.season + '-' + (obs.season+1);
 +
 +
csv += ';' + i18n[ memo.seriesA[ s ].id ].title[ memo.lang ];
 +
 +
csv += ';' + obs.value;
 +
csv += ';' + obs.valueUnit;
 +
 +
csv += ';' + obs.addInfo;
 +
csv += ';';
 +
csv += ';' + obs.maintainer;
 +
 +
}
 +
 +
}
 +
 +
} else if ( i18n[memo.obscode].type == 'cat' ) {
 +
 +
header += 'Päivämäärä';
 +
header += ';' + 'Kellonaika';
 +
header += ';' + i18n[memo.obscode].title[memo.lang];
 +
header += ';' + i18n[memo.obscode].title[memo.lang];
 +
header += ';' + utf8StringToUtf16String( 'Lisätiedot' );
 +
header += ';' + 'Valokuva';
 +
header += ';' + 'Havainnoijan status';
 +
 +
for ( var o in memo.obses ) {
 +
 +
csv += '\r\n';
 +
 +
csv += memo.obses[o].obsdatetime.toLocaleDateString(); //.toISOString();
 +
 +
if ( memo.obses[o].obsdatetime.getUTCHours() == 0 && memo.obses[o].obsdatetime.getUTCMinutes() == 0 && memo.obses[o].obsdatetime.getUTCSeconds() == 0 ) {
 +
csv += ';';
 +
} else {
 +
csv += ';' + ( "0" + memo.obses[o].obsdatetime.getUTCHours() ).slice(-2) + ':' + ( "0" + memo.obses[o].obsdatetime.getUTCMinutes() ).slice(-2);
 +
}
 +
 +
csv += ';' + memo.obses[o].value;
 +
csv += ';' + i18n[memo.obscode].catNames[memo.obses[o].value][memo.lang];
 +
 +
csv += ';' + memo.obses[o].addInfo;
 +
csv += ';';
 +
csv += ';' + memo.obses[o].maintainer;
 +
 +
}
 +
 +
}
 +
 +
csv = header + csv;
 +
//console.log( csv );
 +
var exportedFilename = memo.csvfile;
 +
 +
var blob = new Blob( [csv], { type: 'text/csv;charset=utf-16LE;' });
 +
if (navigator.msSaveBlob) { // IE 10+
 +
navigator.msSaveBlob(blob, exportedFilename);
 +
} else {
 +
var link = document.createElement("a");
 +
if (link.download !== undefined) { // feature detection
 +
    // Browsers that support HTML5 download attribute
 +
    var url = URL.createObjectURL(blob);
 +
    link.setAttribute("href", url);
 +
    link.setAttribute("download", exportedFilename);
 +
    link.style.visibility = 'hidden';
 +
    document.body.appendChild(link);
 +
    link.click();
 +
    document.body.removeChild(link);
 +
}
 +
}
 +
 +
 +
});   
 +
 +
 +
jQuery( window ).resize(function() {
 +
 +
setTimeout( doResize, 100 );
 +
 +
});
 +
 +
function doResize() {
 +
 +
memo.margins = { top: 10, right: 10, bottom: 80, left: 80 };
 +
 +
var w = memo.chartEl.width();
 +
var h = memo.chartEl.height();
 +
 +
var l = Math.max( memo.margins.left, 0.1*w );
 +
var r = Math.max( memo.margins.right, 0.02*w );
 +
var t = Math.max( memo.margins.top, 0.02*h );
 +
var b = Math.max( memo.margins.bottom, 0.15*h );
 +
 +
if (!!document.fullscreenElement) {
 +
//memo.options.chartArea = { top: memo.margins.top*2, left: memo.margins.left*2, width: (memo.widgetEl.width() - memo.margins.left*2 - memo.margins.right - 24), height: (memo.widgetEl.height() - memo.margins.top*2 - memo.margins.bottom*2), backgroundColor: { fill: '#daf0fa', stroke: '#fff', strokeWidth: 6 }};
 +
} else {
 +
//memo.options.chartArea = { top: memo.margins.top, left: memo.margins.left, width: (memo.widgetEl.width() - memo.margins.left - memo.margins.right), height: (memo.widgetEl.height() - memo.margins.top - memo.margins.bottom), backgroundColor: { fill: '#daf0fa', stroke: '#fff', strokeWidth: 6 }};
 +
}
 +
//memo.options.chartArea = { top: t, left: l, width: (w - l - r), height: (h - t - b), backgroundColor: { fill: '#daf0fa', stroke: '#fff', strokeWidth: 6 }};
 +
memo.options.chartArea = { top: t, left: l, width: (w - l - r), height: (h - t - b), backgroundColor: { fill: '#fff', stroke: '#eee', strokeWidth: 4 }};
 +
 +
//console.log( memo.options );
 +
 +
memo.chart.draw( memo.data, memo.options );
 +
 +
// hide every second vaxis gridline on cat charts
 +
if ( i18n[memo.obscode]['type'] == 'cat') {
 +
var glc = 0;
 +
jQuery( document.getElementById(memo.id) ).find( 'rect[height="1"]' ).each( function() {
 +
if ( ( glc++ % 2 ) == 0 ) {
 +
jQuery( this ).attr( 'fill', 'none' ); 
 +
}
 +
});
 +
}
 +
 +
// add dash to trendlines
 +
jQuery( document.getElementById(memo.id) ).find( 'path[stroke-width="2.33"]' ).each( function() {
 +
jQuery( this ).attr('stroke-dasharray', '5, 5');
 +
});
 +
 +
// move current observations to top
 +
gEl = jQuery( document.getElementById(memo.id) ).find( 'svg' ).append( 'g' );
 +
 +
//jQuery( document.getElementById(memo.id) ).find( 'circle[stroke-width="3"]' ).detach().appendTo( gEl );
 +
jQuery( document.getElementById(memo.id) ).find( 'path[stroke="#3366cc"]' ).detach().appendTo( gEl );
 +
jQuery( document.getElementById(memo.id) ).find( 'circle[fill="#3366cc"]' ).detach().appendTo( gEl );
 +
 +
jQuery( document.getElementById(memo.id) ).find( 'circle[stroke-width="3"]' ).each( function() { jQuery( this ).parent().append( jQuery( this ) ); });
 +
//jQuery( document.getElementById(memo.id) ).find( 'circle[fill="#3366cc"]' ).each( function() { jQuery( this ).parent().append( jQuery( this ) ); });
 +
//jQuery( document.getElementById(memo.id) ).find( 'path[stroke="#3366cc"]' ).each( function() { jQuery( this ).parent().append( jQuery( this ) ); });
 +
 +
}
 +
 +
} else {
 +
 +
jQuery( jQuery( document.getElementById(memo.id) ) ).hide();
 +
 +
}
 +
 +
//doResize();
 +
 +
}
 +
 +
function smooth( list, degree ) {
 +
var win = degree*2-1;
 +
weight = _.range(0, win).map(function (x) { return 1.0; });
 +
weightGauss = [];
 +
for (i in _.range(0, win)) {
 +
i = i-degree+1;
 +
frac = i/win;
 +
gauss = 1 / Math.exp((4*(frac))*(4*(frac)));
 +
weightGauss.push(gauss);
 +
}
 +
weight = _(weightGauss).zip(weight).map(function (x) { return x[0]*x[1]; });
 +
smoothed = _.range(0, (list.length+1)-win).map(function (x) { return 0.0; });
 +
for (i=0; i < smoothed.length; i++) {
 +
smoothed[i] = _(list.slice(i, i+win)).zip(weight).map(function (x) { return x[0]*x[1]; }).reduce(function (memo, num){ return memo + num; }, 0) / _(weight).reduce(function (memo, num){ return memo + num; }, 0);
 +
}
 +
return smoothed;
 +
}
 +
 +
function dec2hex( dec, padding ) {
 +
return parseInt( dec, 10 ).toString( 16 ).padStart( padding, '0' );
 +
}
 +
 +
function utf8StringToUtf16String( str ) {
 +
var utf16 = [];
 +
for (var i=0, strLen=str.length; i < strLen; i++) {
 +
utf16.push(dec2hex(str.charCodeAt(i), 4));
 +
}
 +
return utf16.join();
 +
}
 +
 +
Date.prototype.getWeek = function() {
 +
  var date = new Date(this.getTime());
 +
  date.setHours(0, 0, 0, 0);
 +
  // Thursday in current week decides the year.
 +
  date.setDate(date.getDate() + 3 - (date.getDay() + 6) % 7);
 +
  // January 4 is always in week 1.
 +
  var week1 = new Date(date.getFullYear(), 0, 4);
 +
  // Adjust to Thursday in week 1 and count number of weeks from date to week1.
 +
  return 1 + Math.round(((date.getTime() - week1.getTime()) / 86400000
 +
- 3 + (week1.getDay() + 6) % 7) / 7);
 +
}
 +
 +
var maintColors = { 'authority': '#bb1111', 'expert': '#ff9933', 'experienced': '#666666', 'user': '#aaaaaa'};
 +
 +
var seriesC = [ 'lightgray', '#3366cc', 'orange' ];
 +
 +
var colors = { 'average': 'BurlyWood', 'average': 'orange', 'trend': '#ff4500', 'obses': 'lightgray', 'curObses': '#3366cc', 'selObses': 'gold', 'noticeObses': 'tan'  };
 +
 +
var i18n = {
 +
'download': { 'fi': 'Lataa csv-muodossa', 'en': 'Download in csv format', 'sv': 'Ladda ner i csv-format' },
 +
'fullscreen': { 'fi': 'Ota käyttöön/poista kokoruututila', 'en': 'Toggle fullscreen mode', 'sv': 'Växla helskärmsläge' },
 +
'edit': { 'fi': 'Lisää/muokkaa havaintoja', 'en': 'Add/edit observations', 'sv': 'Lägg till/redigera observationer' },
 +
'season': { 'winter': { 'fi': 'Talvi', 'en': 'Winter', 'sv': 'Vintern' } },
 +
'dec': { 'fi': ',', 'en': '.', 'sv': ',' },
 +
'sep': { 'fi':  '\t', 'en': ' ', 'sv': ' ' },
 +
'alg': {
 +
'type': 'cat',
 +
'min': -0.5,
 +
'season': 'summer',
 +
'trend': { 'type': 'gaussian', 'layout': 'line' },
 +
'title': { 'fi': 'Sinilevätilanne', 'en': 'XX', 'sv': 'Xxx', 'ru': '???' },
 +
'catNames': { 0: { 'fi': 'Ei levää', 'en': 'No algae', 'sv': 'Inga alger' }, 1: { 'fi': 'Hieman levää', 'en': 'Some algae', 'sv': 'Lite med alger' }, 2: { 'fi': 'Runsaasti levää', 'en': 'Abundant with algae', 'sv': 'Rikligt med alger' }, 3: { 'fi': 'Erittäin runsaasti levää', 'en': 'Very abundant with algae', 'sv': 'Ytterst rikligt med alger' } },
 +
'catNamesShort': { 0: { 'fi': 'Ei levää', 'en': 'No algae', 'sv': 'Inga alger' }, 1: { 'fi': 'Hieman', 'en': 'Some', 'sv': 'Lite' }, 2: { 'fi': 'Runsaasti', 'en': 'Abundant', 'sv': 'Rikligt' }, 3: { 'fi': 'Erit. runsaasti', 'en': 'Very abundant', 'sv': 'Ytterst rikligt' } },
 +
'unit': '',
 +
'axisTitleV': { 'fi': '', 'en': '', 'sv': '', 'ru': '' }
 +
},
 +
'temp': {
 +
'type': 'num',
 +
'season': 'summer',
 +
'trend': { 'type': 'gaussian', 'layout': 'line' },
 +
'title': { 'fi': 'Pintaveden lämpötila', 'en': 'Surface water termperature', 'sv': 'Ytvattentemperatur', 'ru': '???' },
 +
'unit': '°C',
 +
'axisTitleV': { 'fi': 'Lämpötila, °C', 'en': 'Temperature, °C', 'sv': 'Temperatur, °C', 'ru': '°C' }
 +
},
 +
'ice': {
 +
'catName': 'Jäätilanne',
 +
'type': 'num',
 +
'season': 'winter',
 +
'min': 0,
 +
//'direction': -1,
 +
'trend': { 'type': 'gaussian', 'layout': 'line' },
 +
'title': { 'fi': 'Jään paksuus', 'en': 'Ice thickness', 'sv': 'Isens tjocklek', 'ru': '???' },
 +
'unit': 'cm',
 +
'axisTitleV': { 'fi': 'Jääpeite, cm', 'en': 'Ice cover, cm', 'sv': 'Istäcket, cm', 'ru': 'm' },
 +
'changes': {
 +
'fi': 'Jääpeitteen paksuus -tilastokuvio on hieman uudistunut.',
 +
'en': '',
 +
'sv': '',
 +
'ru': ''
 +
}
 +
},
 +
'ice_cat': {
 +
'catName': 'Jäätilanne',
 +
},
 +
'ice_cat_2': { 'title': { 'fi': 'Jäätyminen', 'en': 'Freeze-up', 'sv': 'Förfrysning', 'ru': '???' }, 'title2': { 'fi': 'Pysyvä jääpeite', 'en': 'Permanent ice cover', 'sv': 'Permanent istäcke', 'ru': '???' }, color: '#d5da26' },
 +
'ice_cat_5': { 'title': { 'fi': 'Jäänlähtö', 'en': 'Ice break-up', 'sv': 'Islossning', 'ru': '???' }, 'title2': { 'fi': 'Jäätön kausi alkoi', 'en': 'Beginning of ice-free season', 'sv': 'Början av den isfria säsongen', 'ru': '???' }, color: '#0076b0' },
 +
'ice_cat_2,5': {
 +
'type': 'date',
 +
'season': 'winter',
 +
'trend': { 'type': 'regression', 'layout': 'line' },
 +
'title': { 'fi': 'Jääpeitekauden kesto', 'en': 'Duration of ice cover', 'sv': 'Längden på istäckesperioden', 'ru': '' },
 +
//'charttitle': { 'fi': 'Jääpeite', 'en': 'Ice cover', 'sv': 'Frysning och islossning', 'ru': '' },
 +
'color': '#c1e7f7',
 +
'unit': { 'fi': 'päivää', 'en': 'days', 'sv': 'dagar', 'ru': '' },
 +
'axisTitleV': { 'fi': '', 'en': '', 'sv': '', 'ru': '' },
 +
'changes': {
 +
'fi': 'Jääpeitekauden pituudesta kertova kuvio on muuttunut. Aiemmat jäänlähdöstä ja jäättömän kauden alusta kertoneet erilliset graafit on yhdistetty samaan kuvaan. Jos samalta talvelta on tehty havainnot sekä pysyvän jäätilanteen että jäättömän kauden alkamisesta, piirtyy kuvioon myös jääpeitekauden pituus.',
 +
'en': 'The graph showing the length of the ice cover period has changed. Separate graphs of previous freezing and icing have now been combined into the same figure. If there are observations from the same winter about the beginning of both the permanent ice situation and the ice-free season, the length of the ice cover period is also drawn in the figure.',
 +
'sv': 'Grafen som visar längden på istäckeperioden har ändrats. Separata grafer över tidigare frysning och isbildning har nu kombinerats till samma figur. Om det finns iakttagelser från samma vinter om början av både den permanenta issituationen och den isfria säsongen, ritas även istäckesperiodens längd i figuren.',
 +
'ru': ''
 +
},
 +
},
 +
'snow_load': {
 +
'catName': 'Lumikuorma',
 +
'type': 'num',
 +
'season': 'winter',
 +
'min': 0,
 +
'trend': { 'type': 'moving', 'layout': 'area' },
 +
'title': { 'fi': 'Lumikuorma', 'en': 'Snow load', 'sv': 'Snöbelastning', 'ru': '???' },
 +
'unit': 'kg/m²',
 +
'axisTitleV': { 'fi': 'Lumikuorma, kg/m²', 'en': 'Snow load, kg/m²', 'sv': 'Snöbelastning, kg/m²', 'ru': 'm' }
 +
},
 +
'secchi': {
 +
'type': 'num',
 +
'season': 'summer',
 +
'min': 0,
 +
'direction': -1,
 +
'trend': { 'type': 'gaussian', 'layout': 'line' },
 +
//'trend': { 'type': 'regression', 'layout': 'line' },
 +
'title': { 'fi': 'Näkösyvyys', 'en': 'Water transparency', 'sv': 'Siktdjupet', 'ru': '???' },
 +
'unit': 'm',
 +
'axisTitleV': { 'fi': 'Näkösyvyys, m', 'en': 'Secchi depth, m', 'sv': 'Siktdjupet, m', 'ru': 'm' }
 +
},
 +
'level': {
 +
'type': 'num',
 +
'season': 'summer',
 +
'trend': { 'type': 'gaussian', 'layout': 'line' },
 +
'title': { 'fi': 'Vedenkorkeus', 'en': 'Water level', 'sv': 'Vattenståndpunkt', 'ru': '???' },
 +
'unit': 'cm',
 +
'axisTitleV': { 'fi': 'Vedenkorkeus, cm', 'en': 'Water level, cm', 'sv': 'Vattenståndpunkt, cm', 'ru': 'cm' }
 +
},
 +
'Observation': { 'fi': 'Havainto', 'en': 'Observation', 'sv': 'Observation', 'ru': '???' },
 +
'new': { 'fi': 'Uusi', 'en': 'New', 'sv': 'Nytt', 'ru': '???' },
 +
'Value': { 'fi': 'Arvo', 'en': 'Value', 'sv': 'Värde', 'ru': '???' },
 +
'ValueUnit': { 'fi': 'Arvon tyyppi', 'en': 'Value type', 'sv': 'Värdes typ', 'ru': '???' },
 +
'Date': { 'fi': 'Päivämäärä', 'en': 'Date', 'sv': 'Datum', 'ru': '???' },
 +
'Additionalinfo': { 'fi': 'Lisätiedot', 'en': 'Additional info', 'sv': 'Tillägsinformation', 'ru': '???' },
 +
'Image': { 'fi': 'Valokuva', 'en': 'Image', 'sv': 'Bild', 'ru': '???' },
 +
'ObserverStatus': { 'fi': 'Havainnoijan status', 'en': 'Observer status', 'sv': 'Observatörens status', 'ru': '???' },
 +
'average': { 'fi': 'Keskimäärin', 'en': 'Average', 'sv': 'Genomsnitt', 'ru': '???' },
 +
'trendline': { 'fi': 'Trendiviiva', 'en': 'Trend line', 'sv': 'Trendlinje', 'ru': '???' },
 +
'days': { 'fi': 'päivää', 'en': 'days', 'sv': 'dygn', 'ru': '???' },
 +
'month': { 'fi': 'Kuukausi', 'en': 'Month', 'sv': 'Månad', 'ru': '???' },
 +
'months': {
 +
0: {
 +
'long': { 'fi': 'Tammikuu', 'en': 'January', 'sv': 'Januari', 'ru': '???' },
 +
'short': { 'fi': 'Tammi', 'en': 'Jan', 'sv': 'Jan', 'ru': '???' },
 +
'roman': 'I'
 +
},
 +
1: {
 +
'long': { 'fi': 'Helmikuu', 'en': 'Febryary', 'sv': 'Februari', 'ru': '???' },
 +
'short': { 'fi': 'Helmi', 'en': 'Feb', 'sv': 'Feb', 'ru': '???' },
 +
'roman': 'II'
 +
},
 +
2: {
 +
'long': { 'fi': 'Maaliskuu', 'en': 'March', 'sv': 'Mars', 'ru': '???' },
 +
'short': { 'fi': 'Maalis', 'en': 'Mar', 'sv': 'Mar', 'ru': '???' },
 +
'roman': 'III'
 +
},
 +
3: {
 +
'long': { 'fi': 'Huhtikuu', 'en': 'April', 'sv': 'April', 'ru': '???' },
 +
'short': { 'fi': 'Huhti', 'en': 'Apr', 'sv': 'Apr', 'ru': '???' },
 +
'roman': 'IV'
 +
},
 +
4: {
 +
'long': { 'fi': 'Toukokuu', 'en': 'May', 'sv': 'Maj', 'ru': '???' },
 +
'short': { 'fi': 'Touko', 'en': 'May', 'sv': 'Maj', 'ru': '???' },
 +
'roman': 'V'
 +
},
 +
5: {
 +
'long': { 'fi': 'Kesäkuu', 'en': 'June', 'sv': 'Juni', 'ru': '???' },
 +
'short': { 'fi': 'Kesä', 'en': 'Jun', 'sv': 'Jun', 'ru': '???' },
 +
'roman': 'VI'
 +
},
 +
6: {
 +
'long': { 'fi': 'Heinäkuu', 'en': 'July', 'sv': 'Juli', 'ru': '???' },
 +
'short': { 'fi': 'Heinä', 'en': 'Jul', 'sv': 'Jul', 'ru': '???' },
 +
'roman': 'VII'
 +
},
 +
7: {
 +
'long': { 'fi': 'Elokuu', 'en': 'August', 'sv': 'Augusti', 'ru': '???' },
 +
'short': { 'fi': 'Elo', 'en': 'Aug', 'sv': 'Aug', 'ru': '???' },
 +
'roman': 'VII'
 +
},
 +
8: {
 +
'long': { 'fi': 'Syyskuu', 'en': 'September', 'sv': 'September', 'ru': '???' },
 +
'short': { 'fi': 'Syys', 'en': 'Sep', 'sv': 'Sep', 'ru': '???' },
 +
'roman': 'IX'
 +
},
 +
9: {
 +
'long': { 'fi': 'Lokakuu', 'en': 'October', 'sv': 'Oktober', 'ru': '???' },
 +
'short': { 'fi': 'Loka', 'en': 'Oct', 'sv': 'Okt', 'ru': '???' },
 +
'roman': 'X'
 +
},
 +
10: {
 +
'long': { 'fi': 'Marraskuu', 'en': 'November', 'sv': 'November', 'ru': '???' },
 +
'short': { 'fi': 'Marras', 'en': 'Nov', 'sv': 'Nov', 'ru': '???' },
 +
'roman': 'XI'
 +
},
 +
11: {
 +
'long': { 'fi': 'Joulukuu', 'en': 'December', 'sv': 'December', 'ru': '???' },
 +
'short': { 'fi': 'Joulu', 'en': 'Dec', 'sv': 'Dec', 'ru': '???' },
 +
'roman': 'XII'
 +
}
 +
}
 +
};
 +
 +
})(); // We call our anonymous function immediately
 +
 +
</script>
 +
</includeonly>

Versio 29. joulukuuta 2021 kello 11.04

Noudettu kohteesta ”https://www.jarviwiki.fi/w/index.php?title=Widget:Test4&oldid=954746”




Suomen ympäristökeskuskus SYKE on perustanut ja ylläpitää Järvi-meriwiki-palvelua.
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Maa- ja vesitekniikan tuki ry osallistui palvelun perustamisen ja kehittämisen rahoittamiseen.
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