-
-
Notifications
You must be signed in to change notification settings - Fork 647
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Graph of temperature changes for the year in the burg (#733)
* Option for exporting grid cell (#731) * Added Save Option for Api-like json export. Will be updated and set to a scheme * Save Option for Api-like added * Moved UI of json export to export dialog. Moved json export to another file named export-json.js * Added Seperated json export selections - all JSON : exports all json data. - minimal JSON : exports json data without cells data. - cells JSON : exports json data only with pack.cells data. * More Stable Cell Export... * Grid cells export option. * Graph of temperature changes for the year in the burg I'm bad at writing in English. Please excuse me for this. It seems illogical to me the parameter of the average temperature for the year in the burg. Therefore, I found a database of meteorological measurements at https://ru.climate-data.org/ And I analyzed it. With the help of a neural network. I approximately established the dependence of Dy[X] and Dd[X], Md[X] = f(t,p,l). Dy[X] - how much the temperature in winter differs from the temperature in summer Md[X] - how much the temperature during the day differs from the temperature at night, on average per year Dd[X] - how much the temperature difference between day and night is not constant in winter and summer t - average temperature for the year p - average rainfall for the year l - latitude Now, for each city, you can plot the temperature change. Based on t,p and l. ATTENTION!!! The characteristics of the planet and its orbit coincide with those of the earth! Further, I will use the Russian language, if you want to know my reasoning, please use the Google Translate capabilities. Я изменил свою первоначальную идею и доработал её. Что касается качества и используемых функций - жду критики. JavaScript - не знакомый мне язык и я не уверен, что выполнил всё верно. Что касается самой идеи - её реализация пока далека от совершенства. Я понял, что если установить в настройках мира температуру на экваторе ниже, чем на Земле, то графики получаются слишком далекими от реальности. Эта ошибка связана с тем, что Dy[X] зависит от широты, а не среднегодовой температуры. К сожалению добиться хорошей сходимости удалось только расширением нейросети - ещё больше магических чисел. Теперь, на основе прошлой выборки из 899 городов, попущенных через нейросеть миллион раз среднеквадратичная ошибка стала 3%. Входными данными для сети являются широта и влажность, а средняя температура иcпользуется только как ориентир при построении графиков. * Add legnd in graph * Editing Coefficients The coefficients have been changed so that the sign of the latitude does not affect the result Co-authored-by: Efruz Yıldırır <30903352+yldrefruz@users.noreply.github.com>
- Loading branch information
1 parent
2608a27
commit ccb7557
Showing
4 changed files
with
259 additions
and
7 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,220 @@ | ||
"use strict"; | ||
|
||
function showTGForBurg(id) { | ||
const b = pack.burgs[id]; | ||
const lat = mapCoordinates.latN - (b.y / graphHeight) * mapCoordinates.latT; | ||
const temperature = grid.cells.temp[pack.cells.g[b.cell]]; | ||
const prec = grid.cells.prec[pack.cells.g[b.cell]]; | ||
|
||
const weights = [ | ||
[//Layer0 | ||
//IN0 IN1 | ||
[10.782752257744338, 2.7100404240962126], | ||
[-2.8226802110591462, 51.62920138583541], | ||
[-6.6250956268643835, 4.427939197315455], | ||
[-59.64690518541339, 41.89084162654791], | ||
[-1.3302059550553835, -3.6964487738450913], | ||
[-2.5844898544535497, 0.09879268612455298], | ||
[-5.58528252533573, -0.23426224364501905], | ||
[26.94531337690372, 20.898158905988907], | ||
[3.816397481634785, -0.19045424064580757], | ||
[-4.835697931609101, -10.748232783636434] | ||
], | ||
[//Layer1 | ||
[-2.478952081870123, 0.6405800134306895, -7.136785640930911, -0.2186529024764509, 3.6568435212735424, 31.446026153530838, -19.91005187482281, 0.2543395274783306, -7.036924569659988, -0.7721371621651565], | ||
[-197.10583739743538, 6.889921141533474, 0.5058941504631129, 7.7667203434606416, -53.74180550086929, -15.717331715167001, -61.32068414155791, -2.259728220978728, 35.84049189540032, 94.6157364730977], | ||
[-5.312011591880851, -0.09923148954215096, -1.7132477487917586, -22.55559652066422, 0.4806107280554336, -26.5583974109492, 2.0558257347014863, 25.815645234787432, -18.569029876991156, -2.6792003366730035], | ||
[20.706518520569514, 18.344297403881875, 99.52244671131733, -58.53124969563653, -60.74384321042212, -80.57540534651835, 7.884792406540866, -144.33871131678563, 80.134199744324, 20.50745285622448], | ||
[-52.88299538575159, -15.782505343805528, 16.63316001054924, 88.09475330556671, -17.619552086641818, -19.943999528182427, -120.46286026828177, 19.354752020806302, 43.49422099308949, 28.733924806541363], | ||
[-2.4621368711159897, -1.2074759925679757, -1.5133898639835084, 2.173715352424188, -5.988707597991683, 3.0234147182203843, 3.3284199340000797, -1.8805161326360575, 5.151910934121654, -1.2540553911612116] | ||
], | ||
[//Layer2 | ||
[-0.3357437479474717, 0.01430651794222215, -0.7927524256670906, 0.2121636229648523, 1.0587803023358318, -3.759288325505095], | ||
[-1.1988028704442968, 1.3768997508052783, -3.8480086358278816, 0.5289387340947143, 0.5769459339961177, -1.2528318145750772], | ||
[1.0074966649240946, 1.155301164699459, -2.974254371052421, 0.47408176553219467, 0.5939042688615264, -0.7631976947131744] | ||
] | ||
]; | ||
//From (-∞,∞) to ~[-1,1] | ||
const In1 = [(Math.abs(lat) - 26.950680212887473)/48.378128506956,(prec - 12.229929140832644)/29.94402033696607]; | ||
|
||
let lastIn = In1; | ||
let lstOut = []; | ||
for (let levelN = 0; levelN < weights.length ; levelN++) { | ||
let layerN = weights[levelN]; | ||
for (let i = 0; i < layerN.length ; i++) { | ||
lstOut[i] = 0; | ||
for (let j = 0; j < layerN[i].length ; j++) | ||
lstOut[i] = lstOut[i] + lastIn[j]*layerN[i][j] ; | ||
//Sigmoid | ||
lstOut[i] = 1/(1+Math.exp(-lstOut[i])); | ||
} | ||
lastIn = lstOut.slice(0); | ||
} | ||
|
||
//From [0,1] to [min,max] | ||
//Standard deviation for average temperature for the year | ||
const yearSig = lstOut[0]*62.9466411977018+0.28613807855649165; | ||
//Standard deviation for the difference between the minimum and maximum temperatures for the year | ||
const yearDelTmpSig = (lstOut[1]*13.541688670361175+0.1414213562373084) > yearSig ? yearSig : (lstOut[1]*13.541688670361175+0.1414213562373084); | ||
//Expected value for the difference between the minimum and maximum temperatures for the year | ||
const yearDelTmpMu = lstOut[2]*15.266666666666667+0.6416666666666663; | ||
|
||
//Temperature change shape | ||
//const formTmp = -Math.cos(data*2*Math.PI) / 2; | ||
const delT = yearDelTmpMu/2+0.5*yearDelTmpSig/2; | ||
const minT = temperature - ((yearSig+delT) > 15 ? (yearSig+delT) : 15); | ||
const maxT = temperature + (temperature - minT); | ||
|
||
const chartWidth = window.innerWidth/2, | ||
chartHeight = 300; // height of our land/sea profile, excluding the biomes data below | ||
const xOffset = 80, | ||
yOffset = 10; // this is our drawing starting point from top-left (y = 0) of SVG | ||
|
||
const xscale = d3.scaleLinear().domain([0,360]).range([0, chartWidth]); | ||
const xscale_inv = d3.scaleLinear().domain([0, chartWidth]).range([0,360]); | ||
const yscale = d3.scaleLinear().domain([minT, maxT]).range([chartHeight, 0]); | ||
const yscale_inv = d3.scaleLinear().domain([chartHeight, 0]).range([minT, maxT]); | ||
|
||
const dataAverTmp = []; | ||
const dataMinTmp = []; | ||
const dataMaxTmp = []; | ||
for (let i = 0; i < 360 ; i++) { | ||
let formTmp = Math.cos(i/360*2*Math.PI) / 2; | ||
if(lat > 0) formTmp = -formTmp; | ||
const averT = formTmp * yearSig + temperature; | ||
const delT = yearDelTmpMu/2+formTmp*yearDelTmpSig/2; | ||
dataAverTmp.push({x:xscale(i) + xOffset,y:yscale(averT) + yOffset}); | ||
dataMinTmp.push({x:xscale(i) + xOffset,y:yscale(averT-delT) + yOffset}); | ||
dataMaxTmp.push({x:xscale(i) + xOffset,y:yscale(averT+delT) + yOffset}); | ||
} | ||
|
||
document.getElementById("epControls").style.visibility = "hidden"; | ||
|
||
$("#elevationProfile").dialog({ | ||
title: "Seasonal temperature schedule", | ||
resizable: false, | ||
width: window.width, | ||
close: closeTGForBurg, | ||
position: {my: "left top", at: "left+20 bottom-500", of: window, collision: "fit"} | ||
}); | ||
|
||
draw(); | ||
|
||
function draw() { | ||
|
||
document.getElementById("elevationGraph").innerHTML = ""; | ||
const legendSize = 60; | ||
const chart = d3 | ||
.select("#elevationGraph") | ||
.append("svg") | ||
.attr("width", chartWidth + 120) | ||
.attr("height", chartHeight + yOffset + legendSize) | ||
.attr("id", "elevationSVG") | ||
.attr("class", "epbackground"); | ||
// arrow-head definition | ||
chart.append("defs").append("marker").attr("id", "arrowhead").attr("orient", "auto").attr("markerWidth", "2").attr("markerHeight", "4").attr("refX", "0.1").attr("refY", "2"); | ||
|
||
let Gen = d3.line().curve(d3.curveBasis).x((p) => p.x).y((p) => p.y); | ||
|
||
//print graphs | ||
chart.append("g").append("path").attr("d", Gen(dataAverTmp)) | ||
.attr("fill", "none").attr("stroke", "orange").on("mousemove", printVal).style("stroke-width", "2"); | ||
chart.append("g").append("path").attr("d", Gen(dataMinTmp)) | ||
.attr("fill", "none").attr("stroke", "blue").on("mousemove", printVal).style("stroke-width", "2"); | ||
chart.append("g").append("path").attr("d", Gen(dataMaxTmp)) | ||
.attr("fill", "none").attr("stroke", "red").on("mousemove", printVal).style("stroke-width", "2"); | ||
|
||
//print legend | ||
chart.append("circle").attr("cx",chartWidth*1/4).attr("cy",chartHeight + yOffset + legendSize*0.8).attr("r", 4).style("fill", "red") | ||
chart.append("text").attr("x", chartWidth*1/4+20).attr("y", chartHeight + yOffset + legendSize*0.8) | ||
.text("Day temperature").style("font-size", "10px").attr("alignment-baseline","middle") | ||
chart.append("circle").attr("cx",chartWidth*2/4).attr("cy",chartHeight + yOffset + legendSize*0.8).attr("r", 4).style("fill", "orange") | ||
chart.append("text").attr("x", chartWidth*2/4+20).attr("y", chartHeight + yOffset + legendSize*0.8) | ||
.text("Average daily temperature").style("font-size", "10px").attr("alignment-baseline","middle") | ||
chart.append("circle").attr("cx",chartWidth*3/4).attr("cy",chartHeight + yOffset + legendSize*0.8).attr("r", 4).style("fill", "blue") | ||
chart.append("text").attr("x", chartWidth*3/4+20).attr("y", chartHeight + yOffset + legendSize*0.8) | ||
.text("Night temperature").style("font-size", "10px").attr("alignment-baseline","middle") | ||
|
||
|
||
|
||
//print title | ||
let timerId = setTimeout(() => chart.attr("data-tip", "Seasonal temperature schedule"), 1000); | ||
|
||
const months = ["January","February","March","April","May","June","July","August","September","October","November","December"]; | ||
//Val under line | ||
function printVal(){ | ||
let m = d3.mouse(this); | ||
let tmp = convertTemperature(yscale_inv(m[1]-yOffset).toFixed(1)); | ||
let month = months[parseInt(xscale_inv(m[0]-xOffset)/360*12)]; | ||
chart.attr("data-tip", tmp + " in " + month); | ||
clearTimeout(timerId); | ||
timerId = setTimeout(() => chart.attr("data-tip", "Seasonal temperature schedule"), 1000); | ||
} | ||
|
||
const xAxis = d3 | ||
.axisBottom(xscale) | ||
.ticks(10) | ||
.tickFormat(function (d) { | ||
return months[parseInt(d/360*12)]; | ||
}); | ||
const yAxis = d3 | ||
.axisLeft(yscale) | ||
.ticks(5) | ||
.tickFormat(function (d) { | ||
return convertTemperature(d); | ||
}); | ||
|
||
const xGrid = d3.axisBottom(xscale).ticks(10).tickSize(-chartHeight).tickFormat(""); | ||
const yGrid = d3.axisLeft(yscale).ticks(5).tickSize(-chartWidth).tickFormat(""); | ||
|
||
chart | ||
.append("g") | ||
.attr("id", "epxaxis") | ||
.attr("transform", "translate(" + xOffset + "," + parseInt(chartHeight + +yOffset + 20) + ")") | ||
.call(xAxis) | ||
.selectAll("text") | ||
.style("text-anchor", "center") | ||
.attr("transform", function (d) { | ||
return "rotate(0)"; // used to rotate labels, - anti-clockwise, + clockwise | ||
}); | ||
|
||
chart | ||
.append("g") | ||
.attr("id", "epyaxis") | ||
.attr("transform", "translate(" + parseInt(+xOffset - 10) + "," + parseInt(+yOffset) + ")") | ||
.call(yAxis); | ||
|
||
// add the X gridlines | ||
chart | ||
.append("g") | ||
.attr("id", "epxgrid") | ||
.attr("class", "epgrid") | ||
.attr("stroke-dasharray", "4 1") | ||
.attr("transform", "translate(" + xOffset + "," + parseInt(chartHeight + +yOffset) + ")") | ||
.call(xGrid); | ||
|
||
if(minT < 0 && maxT > 0){ | ||
//add zero lv | ||
chart.append("g").append("line") | ||
.attr("x1", xscale(0) + xOffset) | ||
.attr("y1", yscale(0) + yOffset) | ||
.attr("x2", xscale(360) + xOffset) | ||
.attr("y2", yscale(0) + yOffset) | ||
.attr("stroke", "black"); | ||
} | ||
|
||
// add the Y gridlines | ||
chart | ||
.append("g") | ||
.attr("id", "epygrid") | ||
.attr("class", "epgrid") | ||
.attr("stroke-dasharray", "4 1") | ||
.attr("transform", "translate(" + xOffset + "," + yOffset + ")") | ||
.call(yGrid); | ||
} | ||
function closeTGForBurg() { | ||
document.getElementById("epControls").style.visibility = "visible"; | ||
document.getElementById("elevationGraph").innerHTML = ""; | ||
modules.elevation = false; | ||
} | ||
} |