Commit cac4ab59 authored by Tania Gómez's avatar Tania Gómez

changes on radial chart

parent dcc15059
......@@ -667,6 +667,12 @@ am4core.ready(function() {
/* Create chart instance */
var chart = am4core.create("radial_chart", am4charts.RadarChart);
let title = chart.titles.create();
title.text = "Superficie total por año";
title.fontSize = 15;
title.marginBottom = 10;
title.fill = am4core.color(mainTextColor);
var data = [];
/* var value1 = 500;
var value2 = 600;
......@@ -685,7 +691,9 @@ am4core.ready(function() {
//console.log(data);
/* Create axes */
var categoryAxis = chart.xAxes.push(new am4charts.DateAxis());
//var categoryAxis = chart.xAxes.push(new am4charts.DateAxis());
var categoryAxis = chart.xAxes.push(new am4charts.CategoryAxis());
categoryAxis.dataFields.category = "month";
categoryAxis.fontSize = 9;
categoryAxis.renderer.labels.template.fill = am4core.color(mainTextColor);
......@@ -702,31 +710,32 @@ am4core.ready(function() {
/* Create and configure series */
var series1 = chart.series.push(new am4charts.RadarSeries());
series1.dataFields.valueY = "value1";
series1.dataFields.dateX = "date";
series1.strokeWidth = 1.5;
series1.tooltipText = "{valueY.formatNumber('#,###.#')} Ha";
series1.name = "Series 1";
series1.dataFields.categoryX = "month" //"date";
series1.strokeWidth = 2;
series1.tooltipText = "{valueY}";
series1.name = "2016";
//series1.bullets.create(am4charts.CircleBullet);
series1.dataItems.template.locations.dateX = 0.5;
// series1.dataItems.template.locations.dateX = 0.5;
var series2 = chart.series.push(new am4charts.RadarSeries());
series2.dataFields.valueY = "value2";
series2.dataFields.dateX = "date";
series2.strokeWidth = 1.5;
series2.dataFields.categoryX = "month"; //"date";
series2.strokeWidth = 2;
series2.tooltipText = "{valueY}";
series2.name = "Series 2";
series2.name = "2017";
//series2.bullets.create(am4charts.CircleBullet);
series2.dataItems.template.locations.dateX = 0.5;
// series2.dataItems.template.locations.dateX = 0.5;
var series3 = chart.series.push(new am4charts.RadarSeries());
series3.dataFields.valueY = "value3";
series3.dataFields.dateX = "date";
series3.strokeWidth = 1.5;
series3.dataFields.categoryX = "month"; //"date";
series3.strokeWidth = 2;
series3.tooltipText = "{valueY}";
series3.name = "Series 3";
series3.name = "2018";
//series2.bullets.create(am4charts.CircleBullet);
series3.dataItems.template.locations.dateX = 0.5;
// series3.dataItems.template.locations.X = 0.5;
......@@ -747,44 +756,97 @@ am4core.ready(function() {
var range_estiaje = categoryAxis.axisRanges.create();
range_estiaje.date = new Date(2020, 2, 1);
range_estiaje.endDate = new Date(2020, 4, 1);
range_estiaje.category = "March";
range_estiaje.endcategory = "April";
range_estiaje.axisFill.fill = am4core.color("#DFA34D");
range_estiaje.axisFill.fillOpacity = 0.5;
range_estiaje.grid.strokeOpacity = 0;
var range_estiaje_1 = categoryAxis.axisRanges.create();
range_estiaje_1.category = "April";
range_estiaje_1.endcategory = "May";
range_estiaje_1.axisFill.fill = am4core.color("#DFA34D");
range_estiaje_1.axisFill.fillOpacity = 0.5;
range_estiaje_1.grid.strokeOpacity = 0;
var range_lluvTropical = categoryAxis.axisRanges.create();
range_lluvTropical.date = new Date(2020, 4, 1);
range_lluvTropical.endDate = new Date(2020, 8, 1);
range_lluvTropical.category = "May";
range_lluvTropical.endcategory = "June";
//range_lluvTropical.date = new Date(2020, 4, 1);
//range_lluvTropical.endDate = new Date(2020, 8, 1);
range_lluvTropical.axisFill.fill = am4core.color("#D8736D");
range_lluvTropical.axisFill.fillOpacity = 0.5;
range_lluvTropical.grid.strokeOpacity = 0;
var range_lluvTropical_1 = categoryAxis.axisRanges.create();
range_lluvTropical_1.category = "June";
range_lluvTropical_1.endcategory = "July";
range_lluvTropical_1.axisFill.fill = am4core.color("#D8736D");
range_lluvTropical_1.axisFill.fillOpacity = 0.5;
range_lluvTropical_1.grid.strokeOpacity = 0;
var range_lluvTropical_2 = categoryAxis.axisRanges.create();
range_lluvTropical_2.category = "July";
range_lluvTropical_2.endcategory = "August";
range_lluvTropical_2.axisFill.fill = am4core.color("#D8736D");
range_lluvTropical_2.axisFill.fillOpacity = 0.5;
range_lluvTropical_2.grid.strokeOpacity = 0;
var range_lluvTropical_3 = categoryAxis.axisRanges.create();
range_lluvTropical_3.category = "August";
range_lluvTropical_3.endcategory = "September";
range_lluvTropical_3.axisFill.fill = am4core.color("#D8736D");
range_lluvTropical_3.axisFill.fillOpacity = 0.5;
range_lluvTropical_3.grid.strokeOpacity = 0;
var range_lluvTropicalInv = categoryAxis.axisRanges.create();
range_lluvTropicalInv.date = new Date(2020, 8, 1);
range_lluvTropicalInv.endDate = new Date(2020, 11, 1);
range_lluvTropicalInv.category = "September";
range_lluvTropicalInv.endcategory = "October";
range_lluvTropicalInv.axisFill.fill = am4core.color("#AF8BBA");
range_lluvTropicalInv.axisFill.fillOpacity = 0.5;
range_lluvTropicalInv.grid.strokeOpacity = 0;
var range_lluvTropicalInv_1 = categoryAxis.axisRanges.create();
range_lluvTropicalInv_1.category = "October";
range_lluvTropicalInv_1.endcategory = "November";
range_lluvTropicalInv_1.axisFill.fill = am4core.color("#AF8BBA");
range_lluvTropicalInv_1.axisFill.fillOpacity = 0.5;
range_lluvTropicalInv_1.grid.strokeOpacity = 0;
var range_lluvTropicalInv_2 = categoryAxis.axisRanges.create();
range_lluvTropicalInv_2.category = "November";
range_lluvTropicalInv_2.endcategory = "December";
range_lluvTropicalInv_2.axisFill.fill = am4core.color("#AF8BBA");
range_lluvTropicalInv_2.axisFill.fillOpacity = 0.5;
range_lluvTropicalInv_2.grid.strokeOpacity = 0;
var range_lluvInv = categoryAxis.axisRanges.create();
range_lluvInv.date = new Date(2020, 11, 1);
range_lluvInv.endDate = new Date(2020, 12, 1);
range_lluvInv.category = "December";
range_lluvInv.endcategory = "January";;
range_lluvInv.axisFill.fill = am4core.color("#76B66A");
range_lluvInv.axisFill.fillOpacity = 0.5;
range_lluvInv.grid.strokeOpacity = 0;
var range_lluvInv1 = categoryAxis.axisRanges.create();
range_lluvInv1.date = new Date(2020, 0, 1);
range_lluvInv1.endDate = new Date(2020, 2, 1);
range_lluvInv1.axisFill.fill = am4core.color("#76B66A");
range_lluvInv1.axisFill.fillOpacity = 0.5;
range_lluvInv1.grid.strokeOpacity = 0;
var range_lluvInv_1 = categoryAxis.axisRanges.create();
range_lluvInv_1.category = "January";
range_lluvInv_1.endcategory = "February";;
range_lluvInv_1.axisFill.fill = am4core.color("#76B66A");
range_lluvInv_1.axisFill.fillOpacity = 0.5;
range_lluvInv_1.grid.strokeOpacity = 0;
var range_lluvInv_2 = categoryAxis.axisRanges.create();
range_lluvInv_2.category = "February";
range_lluvInv_2.endcategory = "March";;
range_lluvInv_2.axisFill.fill = am4core.color("#76B66A");
range_lluvInv_2.axisFill.fillOpacity = 0.5;
range_lluvInv_2.grid.strokeOpacity = 0;
chart.legend = new am4charts.Legend();
chart.legend.fontSize = 9;
// let legend2 = []
let legend2 = []
var legenddata2 = [{ name: "Estiaje", fill: am4core.color("#DFA34D") },
{ name: "Lluvia Tropical", fill: am4core.color("#D8736D") },
{ name: "Lluvia Tropical-Invernal", fill: am4core.color("#AF8BBA") },
......@@ -1073,7 +1135,7 @@ am4core.ready(function() {
var chart = am4core.create("dimfrcpo-graph", am4charts.XYChart);
let title = chart.titles.create();
title.text = "Conteo de cuerpos por tipo";
title.text = "Conteo por tipo de cuerpo";
title.fontSize = 15;
title.marginBottom = 30;
title.fill = am4core.color(mainTextColor);
......@@ -1100,18 +1162,20 @@ am4core.ready(function() {
"year": 2009,
"income": 24.6,
"expenses": 25
}];
}];*/
// Create axes
var categoryAxis = chart.yAxes.push(new am4charts.CategoryAxis());
categoryAxis.dataFields.category = "year";
categoryAxis.numberFormatter.numberFormat = "#";
categoryAxis.dataFields.category = "ha_convert";
categoryAxis.numberFormatter.numberFormat = "#,###.0";
categoryAxis.renderer.inversed = true;
categoryAxis.renderer.grid.template.location = 0;
categoryAxis.renderer.cellStartLocation = 0.1;
categoryAxis.renderer.cellEndLocation = 0.9;*/
categoryAxis.renderer.cellEndLocation = 0.9;
categoryAxis.fontSize = 10;
categoryAxis.renderer.labels.template.fill = am4core.color(mainTextColor);
var dateAxis = chart.yAxes.push(new am4charts.DateAxis());
/*var dateAxis = chart.yAxes.push(new am4charts.DateAxis());
dateAxis.dataFields.date = "date"; //"year";
//dateAxis.numberFormatter.numberFormat = "#";
dateAxis.renderer.inversed = true;
......@@ -1119,12 +1183,13 @@ am4core.ready(function() {
dateAxis.renderer.cellStartLocation = 0.1;
dateAxis.renderer.cellEndLocation = 0.9;
dateAxis.fontSize = 10;
dateAxis.renderer.labels.template.fill = am4core.color(mainTextColor);
dateAxis.renderer.labels.template.fill = am4core.color(mainTextColor);*/
var valueAxis = chart.xAxes.push(new am4charts.ValueAxis());
valueAxis.renderer.opposite = true;
valueAxis.calculateTotals = true
valueAxis.fontSize = 10;
valueAxis.renderer.labels.template.fill = am4core.color(mainTextColor);
......@@ -1133,9 +1198,11 @@ am4core.ready(function() {
// Create series
function createSeries(field, name) {
var series = chart.series.push(new am4charts.ColumnSeries());
series.dataFields.valueX = field;
//series.dataFields.categoryY = "year";
series.dataFields.dateY = "date"; //"year";
series.dataFields.valueX = //field;
series.dataFields.categoryY = "ha_convert";
series.dataFields.valueYShow = "count";
//series.dataFields.dateY = "date"; //"year";
series.name = name;
series.columns.template.tooltipText = "[bold]{dateX}[/]{name}: [bold]{valueX}[/]";
series.columns.template.height = am4core.percent(100);
......
......@@ -373,7 +373,8 @@ const populateMap = async(mapData) => {
let query = `${baseUrl}/query/${mes}?columns=sum(areacpo)/10000 value1`;
const queryData = await d3.json(query);
let date = new Date(dateArray[i]);
date.setFullYear(2020)
// console.log(date);
// date.setFullYear(2016)
queryData[0].date = date;
data.push(queryData[0]);
});
......@@ -382,8 +383,58 @@ const populateMap = async(mapData) => {
// and then set chart data
let data_1 = data;
data_1.sort((a, b) => (a.date > b.date) ? 1 : -1)
radialChart.data = data_1;
console.log(data_1);
var month = new Array();
month[0] = "January";
month[1] = "February";
month[2] = "March";
month[3] = "April";
month[4] = "May";
month[5] = "June";
month[6] = "July";
month[7] = "August";
month[8] = "September";
month[9] = "October";
month[10] = "November";
month[11] = "December";
var year = new Array();
year[116] = "2016";
year[117] = "2017";
year[118] = "2018";
let cc;
for (cc = 0; cc < data_1.length; cc++) {
//data_1[cc].mm = (data_1[cc].date).getMonth();
data_1[cc].mm = month[(data_1[cc].date).getMonth()];
//data_1[cc].yy = (data_1[cc].date).getYear();
data_1[cc].yy = year[(data_1[cc].date).getYear()];
}
/* var element = {},cart = [];
element.id = id;
element.quantity = quantity;
cart.push(element);*/
var element = {},
cart = [],
cntr;
for (cntr = 0; cntr < 12; cntr++) {
//console.log(month[cntr]);
element = {};
element.month = (month[cntr]).toString();
element.value1 = (data_1.filter(function(d) { return d.mm == month[cntr] && d.yy == 2016 }))[0].value1;
element.value2 = (data_1.filter(function(d) { return d.mm == month[cntr] && d.yy == 2017 }))[0].value1;
element.value3 = (data_1.filter(function(d) { return d.mm == month[cntr] && d.yy == 2018 }))[0].value1;
cart.push(element);
//console.log(cart);
}
//radialChart.data = data_1;
//console.log(data_1);
console.log(cart);
radialChart.data = cart;
//++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ LINE CHART
let data_ls = [];
......@@ -394,7 +445,7 @@ const populateMap = async(mapData) => {
let query = `${baseUrl}/query/${mes}?columns=sum(areacpo)/10000 area, descrip&group=descrip`;
const queryData = await d3.json(query);
let date = new Date(dateArray[i]);
date.setFullYear(2016)
//date.setFullYear(2016)
for (const wbody in queryData) {
queryData[wbody].date = date;
}
......@@ -427,7 +478,7 @@ const populateMap = async(mapData) => {
let grijalva_bodies = aguaPermanente;
grijalva_bodies.sort((a, b) => (a.date > b.date) ? 1 : -1)
//let data_ls = aguaPermanente;
//console.log(grijalva_bodies);
//console.log("grijalva bodies", grijalva_bodies);
linesChart.data = grijalva_bodies;
//++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ STACKED AREAS CHART
let data_sa = [];
......@@ -438,7 +489,7 @@ const populateMap = async(mapData) => {
let query_sa = `${baseUrl}/query/${mes}?columns=sum(areacpo)/10000 area, descrip&group=descrip`;
const queryData = await d3.json(query_sa);
let date = new Date(dateArray[i]);
date.setFullYear(2016)
//date.setFullYear(2016)
for (const wbody in queryData) {
queryData[wbody].date = date;
}
......@@ -450,7 +501,7 @@ const populateMap = async(mapData) => {
// and then set chart data
//lineStackedChart.data = data_ls;
var merged_1 = [].concat.apply([], data_sa);
console.log(data_sa);
//console.log(data_sa);
let aguaPermanente_1 = merged_1.filter(function(d) { return d.descrip == "Agua permanente" });
let aguaTemporal_1 = merged_1.filter(function(d) { return d.descrip == "Áreas temporalmente inundadas" });
......@@ -468,7 +519,7 @@ const populateMap = async(mapData) => {
let grijalva_bodies_1 = aguaPermanente_1;
grijalva_bodies_1.sort((a, b) => (a.date > b.date) ? 1 : -1)
//let data_ls = aguaPermanente;
console.log("grijalva_bodies_1", grijalva_bodies_1);
// console.log("grijalva_bodies_1", grijalva_bodies_1);
stackedAreaChart.data = grijalva_bodies_1;
//++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ POPULATION BARS
let data_pb = [];
......@@ -477,7 +528,8 @@ const populateMap = async(mapData) => {
// async queries for each date that has been loaded
const queries_pb = userFiles.map(async(mes, i) => {
//let query_pb = `${baseUrl}/query/${mes}?columns=areacpo/10000 area, descrip`;
let query_pb = `${baseUrl}/query/${mes}?columns=count(descrip)::int cuenta, descrip&group=descrip`;
//let query_pb = `${baseUrl}/query/${mes}?columns=count(descrip)::int cuenta, descrip&group=descrip`;
let query_pb = `${baseUrl}/query/${mes}?columns=descrip, areacpo`;
const queryData = await d3.json(query_pb);
let date = new Date(dateArray[i]);
date.setFullYear(2016)
......@@ -492,31 +544,129 @@ const populateMap = async(mapData) => {
// and then set chart data
//lineStackedChart.data = data_ls;
console.log("data_pb", data_pb);
// console.log("data_pb", data_pb);
var merged_2 = [].concat.apply([], data_pb);
//console.log("merged_2", merged_2);
/* let k;
let filtered_count = data_pb;
for (k = 0; k < data_pb.length; k++) {
filtered_count[k].perm = (data_pb[k].filter(function(d) { return d.descrip == "Agua permanente" }).length);
let startDate = new Date("2015-12-31");
let endDate = new Date("2016-02-01");
filter_by_date = merged_2.filter(function(d) { return d.date >= startDate && d.date <= endDate })
let areclass = filter_by_date;
let k;
for (k = 0; k < areclass.length; k++) {
/* filtered_count[k].perm = (data_pb[k].filter(function(d) { return d.descrip == "Agua permanente" }).length);
filtered_count[k].temp = (data_pb[k].filter(function(d) { return d.descrip == "Áreas temporalmente inundadas" }).length);
filtered_count[k].vege = (data_pb[k].filter(function(d) { return d.descrip == "Suelos húmedos-vegetación acuática" }).length);
filtered_count[k].date = (data_pb[k][0].date);
filtered_count[k].date = (data_pb[k][0].date);*/
if (Math.log(areclass[k].areacpo) <= 1) { areclass[k].grupo = 1 } else if (Math.log(areclass[k].areacpo) <= 2) { areclass[k].grupo = 2 } else if (Math.log(areclass[k].areacpo) <= 3) { areclass[k].grupo = 3 } else if (Math.log(areclass[k].areacpo) <= 4) { areclass[k].grupo = 4 } else if (Math.log(areclass[k].areacpo) <= 5) { areclass[k].grupo = 5 } else if (Math.log(areclass[k].areacpo) <= 6) { areclass[k].grupo = 6 } else if (Math.log(areclass[k].areacpo) <= 7) { areclass[k].grupo = 7 } else if (Math.log(areclass[k].areacpo) <= 8) { areclass[k].grupo = 8 } else if (Math.log(areclass[k].areacpo) <= 9) { areclass[k].grupo = 9 } else if (Math.log(areclass[k].areacpo) <= 10) { areclass[k].grupo = 10 } else if (Math.log(areclass[k].areacpo) <= 11) { areclass[k].grupo = 11 } else if (Math.log(areclass[k].areacpo) <= 12) { areclass[k].grupo = 12 } else if (Math.log(areclass[k].areacpo) <= 13) { areclass[k].grupo = 13 } else if (Math.log(areclass[k].areacpo) <= 14) { areclass[k].grupo = 14 } else if (Math.log(areclass[k].areacpo) <= 15) { areclass[k].grupo = 15 } else if (Math.log(areclass[k].areacpo) <= 16) { areclass[k].grupo = 16 } else if (Math.log(areclass[k].areacpo) <= 17) { areclass[k].grupo = 17 } else if (Math.log(areclass[k].areacpo) <= 18) { areclass[k].grupo = 18 } else if (Math.log(areclass[k].areacpo) <= 19) { areclass[k].grupo = 19 } else if (Math.log(areclass[k].areacpo) <= 20) { areclass[k].grupo = 20 } else { areclass[k].grupo = 21 }
if (areclass[k].grupo == 21) { areclass[k].ha_convert = 50000 } else { areclass[k].ha_convert = Math.exp(areclass[k].grupo) / 10000 }
delete areclass[k].date;
delete areclass[k].areacpo;
};
console.log(filtered_count);
popBarsChart.data = filtered_count;*/
// console.log("areclass", areclass);
var flags = [],
output = [],
l = areclass.length;
// i;
for (i = 0; i < 4800; i++) {
if (flags[areclass[i].grupo]) continue;
flags[areclass[i].grupo] = true;
output.push(areclass[i].grupo);
}
output.sort((a, b) => (a > b ? 1 : -1));
//console.log("op", output)
let p;
/* let filtered_count = [];
for (p = 0; p < 22; p++) {
filtered_count[p].perm = (areclass.filter(function(d) { return d.descrip == "Agua permanente" && d.grupo == j }).length);
filtered_count[p].temp = (areclass.filter(function(d) { return d.descrip == "Áreas temporalmente inundadas" && d.grupo == j }).length);
filtered_count[p].vege = (areclass.filter(function(d) { return d.descrip == "Suelos húmedos-vegetación acuática" && d.grupo == j }).length);
//filtered_count[m].date = (areclass.date);
filtered_count[p].grupo = (areclass.grupo);
//if (Math.log(areclass[k].areacpo) <= 1) { areclass[k].grupo = 1 } else if (Math.log(areclass[k].areacpo) <= 2) { areclass[k].grupo = 2 } else if (Math.log(areclass[k].areacpo) <= 3) { areclass[k].grupo = 3 } else if (Math.log(areclass[k].areacpo) <= 4) { areclass[k].grupo = 4 } else if (Math.log(areclass[k].areacpo) <= 5) { areclass[k].grupo = 5 } else if (Math.log(areclass[k].areacpo) <= 6) { areclass[k].grupo = 6 } else if (Math.log(areclass[k].areacpo) <= 7) { areclass[k].grupo = 7 } else if (Math.log(areclass[k].areacpo) <= 8) { areclass[k].grupo = 8 } else if (Math.log(areclass[k].areacpo) <= 9) { areclass[k].grupo = 9 } else if (Math.log(areclass[k].areacpo) <= 10) { areclass[k].grupo = 10 } else if (Math.log(areclass[k].areacpo) <= 11) { areclass[k].grupo = 11 } else if (Math.log(areclass[k].areacpo) <= 12) { areclass[k].grupo = 12 } else if (Math.log(areclass[k].areacpo) <= 13) { areclass[k].grupo = 13 } else if (Math.log(areclass[k].areacpo) <= 14) { areclass[k].grupo = 14 } else if (Math.log(areclass[k].areacpo) <= 15) { areclass[k].grupo = 15 } else if (Math.log(areclass[k].areacpo) <= 16) { areclass[k].grupo = 16 } else if (Math.log(areclass[k].areacpo) <= 17) { areclass[k].grupo = 17 } else if (Math.log(areclass[k].areacpo) <= 18) { areclass[k].grupo = 18 } else if (Math.log(areclass[k].areacpo) <= 19) { areclass[k].grupo = 19 } else if (Math.log(areclass[k].areacpo) <= 20) { areclass[k].grupo = 20 } else { areclass[k].grupo = 21 }
//if (areclass[k].grupo == 21) { areclass[k].ha_convert = 50000 } else { areclass[k].ha_convert = Math.exp(areclass[k].grupo) / 10000 }
//delete areclass[k].date;
//delete areclass[k].areacpo;
};*/
//console.log("filtered_count", filtered_count);
// console.log((data_pb[0].filter(function(d) { return d.descrip == "Agua permanente" })).length);
//console.log((data_pb[0].filter(function(d) { return d.descrip == "Áreas temporalmente inundadas" })).length);
//console.log((data_pb[0].filter(function(d) { return d.descrip == "Suelos húmedos-vegetación acuática" })).length);
let aguaPermanente_2 = merged_2.filter(function(d) { return d.descrip == "Agua permanente" });
/*let Permanente_1 = areclass.filter(function(d) { return d.descrip == "Agua permanente" });
let Temporal_1 = areclass.filter(function(d) { return d.descrip == "Áreas temporalmente inundadas" });
let Vegetacion_1 = areclass.filter(function(d) { return d.descrip == "Suelos húmedos-vegetación acuática" });
//let j;
/*for (j = 0; j < Permanente_1.length; j++) {
Permanente_1[j].permanente = Permanente_1[j].grupo;
Permanente_1[j].temporal = Temporal_1[j].grupo;
Permanente_1[j].vegetacion = Vegetacion_1[j].grupo;
delete Permanente_1[j].descrip;
delete Permanente_1[j].grupo;
}*/
//console.log("Permanente_1", Permanente_1.length, Temporal_1.length, Vegetacion_1.length);
/* let areclass_1 = areclass;
areclass_1.sort((a, b) => (a.ha_convert < b.ha_convert) ? 1 : -1)
popBarsChart.data = areclass_1;*/
//let bodytypes = ["Agua permanente", "Áreas temporalmente inundadas", "Suelos húmedos-vegetación acuática"];
// console.log((areclass.filter(function(d) { return d.descrip == "Agua permanente" })).length);
//console.log((areclass.filter(function(d) { return d.descrip == "Áreas temporalmente inundadas" })).length);
//console.log((areclass.filter(function(d) { return d.descrip == "Suelos húmedos-vegetación acuática" })).length);
//console.log(bodytypes[0], bodytypes[1], bodytypes[2])
/* let c1;
let c2;
let m = 0;
let body_counter = [];
for (c1 = 0; c1 < bodytypes.length; c1++) {
for (c2 = 1; c2 < 22; c2++) {
body_counter[m] = (areclass.filter(d => { return d.descrip === bodytypes[c1] && d.grupo === c2 })).length;
//body_counter[m].cuenta = cuenta;
//body_counter[m].descrip = bodytypes[c1];
//body_counter[m].ln = c2;
console.log(body_counter[m], m, bodytypes[c1], c2);
m = m + 1;
}
}
//console.log("bc", body_counter)
/* let aguaPermanente_2 = merged_2.filter(function(d) { return d.descrip == "Agua permanente" });
let aguaTemporal_2 = merged_2.filter(function(d) { return d.descrip == "Áreas temporalmente inundadas" });
let aguaVegetacion_2 = merged_2.filter(function(d) { return d.descrip == "Suelos húmedos-vegetación acuática" });
......@@ -536,8 +686,8 @@ const populateMap = async(mapData) => {
// let grijalva_bodyCount = cuerpos_conteo;
cuerpos_conteo.sort((a, b) => (a.date > b.date) ? 1 : -1)
//let data_ls = aguaPermanente;
console.log(cuerpos_conteo);
popBarsChart.data = cuerpos_conteo;
console.log("cuerpos conteo", cuerpos_conteo);
popBarsChart.data = cuerpos_conteo;*/
//------------------------------------------------------------------------------------------------------------------------------------
......
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