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Rodrigo Tapia-McClung
fordecyt_2019
Commits
cac4ab59
Commit
cac4ab59
authored
Jan 07, 2021
by
Tania Gómez
Browse files
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Browse Files
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Plain Diff
changes on radial chart
parent
dcc15059
Changes
2
Show whitespace changes
Inline
Side-by-side
Showing
2 changed files
with
302 additions
and
85 deletions
+302
-85
cuerpos_charts.js
public/js/cuerpos_charts.js
+111
-44
cuerpos_functions.js
public/js/cuerpos_functions.js
+191
-41
No files found.
public/js/cuerpos_charts.js
View file @
cac4ab59
...
...
@@ -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
.
end
Date
=
new
Date
(
2020
,
4
,
1
)
;
range_estiaje
.
category
=
"March"
;
range_estiaje
.
end
category
=
"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
.
end
Date
=
new
Date
(
2020
,
11
,
1
)
;
range_lluvTropicalInv
.
category
=
"September"
;
range_lluvTropicalInv
.
end
category
=
"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
.
end
Date
=
new
Date
(
2020
,
12
,
1
)
;
range_lluvInv
.
category
=
"December"
;
range_lluvInv
.
end
category
=
"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 ti
po"
;
title
.
text
=
"Conteo
por tipo de cuer
po"
;
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
);
...
...
public/js/cuerpos_functions.js
View file @
cac4ab59
...
...
@@ -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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