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MĒS NOVĒRTĒJAM JŪSU PRIVĀTUMU

Mēs un mūsu partneri glabājam informāciju un/vai piekļūstam tai ierīcē,
piemēram, sīkfailiem, kā arī apstrādājam personas datus, piemēram, unikālos
identifikatorus un standarta informāciju, ko ierīce nosūta personalizētu reklāmu
un satura ģenerēšanai, reklāmu un satura mērījumiem, auditorijas datu
apkopošanai, kā arī produktu izstrādei un uzlabošanai.
Ar jūsu atļauju mēs un mūsu partneri varam izmantot precīzus ģeogrāfiskās
atrašanās vietas datus un identifikāciju, veicot ierīces skenēšanu. Jūs varat
noklikšķināt, lai sniegtu piekrišanu mūsu un mūsu partneru veiktajai apstrādei,
kā aprakstīts iepriekš. Jūs varat arī piekļūt detalizētākai informācijai un
mainīt savas preferences, pirms sniedzat piekrišanu vai to liedzat.
Lūdzu, ņemiet vērā, ka noteiktai jūsu personas datu apstrādei var nebūt
nepieciešama jūsu piekrišana, bet jums ir tiesības iebilst pret šādu apstrādi.
Jūsu preferences tiks piemērotas tīmekļa vietņu grupā. Jūs varat jebkurā brīdī
mainīt savas preferences, atgriežoties šajā vietnē vai apmeklējot mūsu privātuma
politiku.
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Izklaide un kultūra / Ceļojumi, aktīvā atpūta


SIX WAYS TO VISUALIZE CHANGE OVER TIME IN WEB MAPS SEP 19, 2021


putrifernanda293

Data visualization is an attempt to answer questions about raw data. These
questions typically start with words like what; how much; when; and of course,
where. In addition to these, people frequently ask questions about how a data
variable changes over time. These could be questions such as the following:

How did population change from 2010 to 2020?
Over the last 30 years, has the climate been warmer or cooler?
Where has voter turnout increased or decreased since the last election?
In this article, I demonstrate six ways to visualize change over time using the
ArcGIS API for JavaScript with the following approaches:
https://minimore.com/b/a2xZj/1

1.Toggle layer visibility
2.Swipe widget
3.Side-by-side views
4.Stacked rings
5.Above-and-below theme
6.Animations

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Toggle layer visibility in this app to explore the average educational
attainment in 2010 compared to 2020.
Pink areas show where women outperform men in school. Yellow areas show where
men outperform women. The 2020 numbers show an overall increase in women
outperforming men in school from 2010 compared to 2020.

https://vocus.cc/article/614693bcfd89780001e68fe6
http://www.tunwalai.com/announced/31892
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https://ludomanistudier.dk/konference/six-ways-visualize-change-over-time-web-maps-sep-19-2021
https://teachin.id/blogs/41947/Six-Ways-to-Visualize-Change-Over-Time-in-Web-Maps
https://www.articleblock.com/six-ways-to-visualize-change-over-time-in-web-maps-sep-19-2021/
https://articlepedia.xyz/six-ways-to-visualize-change-over-time-in-web-maps/

1 Toggle Layer Visibility
The classic way to compare change is to display the data in separate layers and
toggle each layer’s visibility on and off. I created an app that visualizes
average educational attainment for Mexico in 2010 and 2020 by adding both layers
to a GroupLayer with an exclusive visibility mode property. That makes it easy
for the user to toggle layers off and on using the LayerList widget as shown in
Listing 1.

This approach works well when two layers differ greatly, and those differences
can easily be spotted when layer visibility changes. This is generally true of
choropleth maps (maps that use polygons with a fill color). This approach is not
as effective when the layers use graduated symbols.
Listing 1
The Swipe widget splits the view of a feature, so that values at two times can
be viewed simultaneously.
https://paiza.io/projects/O3dVIcAlD1rj0bo2c-Sxeg?language=java
https://www.onlinegdb.com/s8CJtUNKg
https://rextester.com/YVDN76251
https://www.jdoodle.com/a/3E6J
https://ideone.com/3fExSy
https://onecompiler.com/java/3xbweqbnu
http://coliru.stacked-crooked.com/a/26aa0d1eae08f88a
http://cpp.sh/44vkz
https://jsfiddle.net/cracklemov/m1zkvrtn/
https://ide.geeksforgeeks.org/NLtrcYHGnv

2 Swipe Widget
Using the Swipe widget is another way to compare how data changes over time. It
is very similar to toggling layer visibility, but instead the Swipe handle is
dragged to view the change, like turning the page of a book. View this app,
which visualizes household statistics for Mexico, to see how the Swipe widget
works.
http://paste.jp/9369c6a5/
https://www.pastery.net/syjhkw/
https://justpaste.it/8j3m4
https://paste.rs/Wdw.java
https://psty.io/p?q=adc9f
https://paste.firnsy.com/paste/TUMKmyJkoYM
http://pastebin.ws/9ykn10
https://paste.in/yW0uVz
https://paste2.org/0whk7whm
http://nopaste.ceske-hry.cz/387225
https://bpa.st/HKXA
http://www.tees.ne.jp/cgi-bin/mb.cgi/masa0207?action=one&num=12786
http://ben-kiki.org/ypaste/data/32714/index.html
https://tech.io/snippet/OJJN2Aa

To create this experience, construct a Swipe widget instance as shown in Listing
2. Then reference layers under leadingLayers and the other layer under
trailingLayers. Since the color ramps in each layer should match to make a fair
comparison, only the style information for one of the layers is displayed in the
legend.

Like toggling layer visibility, this technique works well when layers differ
significantly, but with the Swipe widget, data from the same feature for both
time periods can be compared by straddling the feature with the Swipe handle.
The swipe experience can be easily added to ArcGIS StoryMaps apps.

Listing 2
The Capacity Analysis ArcGIS Online configurable app template uses side-by-side
views to compare the output of two models predicting the demand for hospital
beds as a result of the COVID-19 pandemic.
Side-by-side view can show data for more than two time interval views, but owing
to browser limitations, a single app is limited to no more than 16 views. The
U.S. High Tide Flooding Probability Scenarios through 2100 app uses six views to
compare data representing the probability of high-tide flooding for the next 100
years.

https://www.peeranswer.com/question/614697ff434d6228725f5267
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3 Side-by-Side Views
Sometimes viewing data in side-by-side views can be the most effective technique
for comparing change over time because it doesn’t require any user interaction.
The user can see all the data in one glance and determine which scenario is
better or worse over time.

Because this approach requires a lot of visual scanning between two views, it
does not work well when the differences between two visualizations are subtle.
The side-by-side views approach works best with small-scale phenomena that
change significantly over time. In most cases, the toggle or swipe approaches
are more effective. Displaying two layers in side-by-side views can be effective
for showing the difference between two layers at a single glance.

This example, Capacity Analysis, is an ArcGIS Online configurable app template
that uses side-by-side views to compare the output of two models predicting the
demand for hospital beds as a result of the COVID-19 pandemic.
You can also use the side-by-side view technique to show data for more than two
time intervals. However, since most browsers support no more than 16 WebGL
rendering contexts (one context is required per view), a single app is limited
to no more than 16 views. The app, U.S. High Tide Flooding Probability Scenarios
through 2100, uses six views to compare data representing the probability of
high-tide flooding for the next 100 years.

Listing 3
Stacked rings can compare a variable for two time periods. This map shows the
change in the number of people born outside their resident city. Orange rings
represent 2010 numbers. Blue rings represent 2020 numbers.

4 Stacked Rings
Stacked rings can be used to show a variable’s value in one year compared to
that in another year. Rings of the same size indicate the variable experienced
little or no change from the previous year. To implement this technique, set the
style for the marker symbol to none and represent each year with different
colors. The size variable configuration (i.e., stops) must be identical between
the two layers. This technique can be difficult for users to understand, so use
it with caution. It works best with small, dispersed datasets and will not be as
successful in layers that have dense, overlapping icons.
Listing 4
This map compares the number of homes with soil floors in 2010 and 2020. Rather
than display two layers, it uses an ArcGIS Arcade expression to calculate the
change, and the result is used by the renderer for a single layer.

5 Above-and-Below Theme
To view growth or decline over time at one glance, use the above-and-below theme
for color and/or size. This approach involves calculating the change between the
two variables (either as total change or as percent change), and visually
indicating that difference with a single renderer.

It requires writing an ArcGIS Arcade expression to calculate the difference
between two fields in the same layer. Set a midpoint of zero in the renderer
break points using a color visual variable (shown in Listing 3) or by using a
ClassBreaksRenderer (shown in Listing 4) to give the renderer distinct
above-and-below symbols.

Alternatively, use the above-and-below theme in the univariate color and size
smart mapping module and let the ArcGIS API for JavaScript pick the color
scheme, symbols, and break points as shown in Listing 5. This approach only
shows the delta between the two data values, not the totals for each year. If
viewing the value of the variable for each year is important, then add an option
that allows the user to toggle between both values for the change between years
and the totals for each year.
See an example using the above-and-below theme.
Listing 5
This visualization combines an above-and-below theme showing global temperture
anomalies between 1880 and 2020 with a timeline animation.

6 Animations
Another way to view change over time is to create a data animation. This is
effective for showing subtle, compounding changes over long periods of time. As
opposed to the other approaches, which only compare change between two dates,
this technique allows the user to view change for many—even hundreds—of time
periods.

This example, Global Temperature Anomaly to 1880–2020 doesn’t use TimeSlider for
filtering features with a date field. As shown in Listing 6, TimeSlider is used
as a tool for updating the layer’s renderer to point to a new attribute field
(or Arcade expression) at each slider move. Updating the field name in the
renderer to the column containing data for the selected year is the only
change—no other renderer changes should be made.

This visualization combines an above-and-below theme with an animation to show
the number of visitors for specific time periods.
Combinations

The approaches listed in this article can be combined. For example, a layer that
already visualizes change in a smaller time interval using the above-and-below
theme can be animated, showing change over time. The National Park map
illustrates the use of the above-and-below theme with animation to visualize
changes in year to year visits to US national parks.
A Word of Caution

When comparing data that changes over time in two separate layers, the same
renderer and visual variable configurations must be used for both layers to
ensure that the comparisons make sense. The same stops and break points must be
assigned to the same colors and sizes.
Conclusion

The ArcGIS API for JavaScript provides many ways to visualize change over time.
All of them are valid. The approach you choose depends on the final user
experience you want. The next time you need to map a variable as it changes over
time, try several of the approaches listed in this article because the best
option may not be the first one you consider.



Šodien, 5:27


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