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Posted by on Sep 28, 2020 in GIS, Mapping, What's new | 0 comments

Simple, informative and visually coherent maps can be strong allies in a pandemic: 10 tips to deliver

Simple, informative and visually coherent maps can be strong allies in a pandemic: 10 tips to deliver

These guidelines have been jointly written by CartONG & MapAction.

The ongoing COVID-19 crisis has impacted in one way or another the work of nearly all humanitarian actors. With the global, national and local dimensions of the pandemic, static and interactive maps and dashboards are more valuable than ever before in communications and decision-making and a large number have been created. As Fawad Hussain Syed, co-chair of the GIMAC (Global Information Management, Assessment & Analysis Cell on COVID-19), remarked during a meeting with its members: “Everybody has a dashboard now … Every organisation sees it as a visibility opportunity to have a dashboard.”

When so many information sources are available, creating data visualisations that are inadequate or don’t meet a clearly defined need just adds to the noise and may even result in misinterpretation or wrong directions being taken. Sometimes good intentions – such as an attempt to include everyone’s suggestions or meet everyone’s needs in one map – may turn bad, resulting in an overcrowded product that is hard to read. Likewise, a small, innocent mistake, such as forgetting to include the data release date on a map, may also result in wrong conclusions being drawn.

In order to help enhance the quality of maps used for humanitarian response, both during the COVID-19 situation and in the long-term, CartONG and MapAction have put together this quick guide giving some simple and concrete tips on how to deliver effective maps and avoid common pitfalls. Many of the points raised in this document also apply in the context of other types of pandemics, natural disasters and humanitarian emergencies.

Here are the questions that you should ask yourself when producing a map in the context of a pandemic:

1- Avoid reinventing the wheel: it doesn’t serve you, your organisation or the sector as a whole

So, you have chosen to create a map to assist your COVID-19 response? That’s probably an excellent decision – very often, a map says more than a thousand words. But, before you proceed, it is wise to ask yourself: “Why am I doing this and what is it that I want to communicate?” It is also worth checking online to see if the map or visualisation you’d like to see already exists. Some good sites to look at include Humanitarian Data Exchange, ReliefWeb, Humanitarian Response, MapAction Example Product Catalogue and ESRI amongst others.

DON’T

DO


Waste your time with replicating something that already exists.


Create an original map that helps your organisation and/or the broader humanitarian community

2- Keep your map simple and get straight to the point

You have been asked to create a map showing health service coverage against case load. After talking with colleagues, you have a range of requests for things to be included: one would like to see road networks, another the travel time between distribution centres, and yet another some verbal feedback from community members. The result is a map in which you can barely see the background as it’s covered with dots, polygons, lines and labels. A map that is basically unreadable serves no one.

It is important to keep the map simple. Instead of cramming everything into one map , consider creating separate maps for the logistics and community engagement teams for example. You may also want to consider adding visualisations, such as a histogram, a bar chart or a gauge if these bring interesting insights to your audience and don’t crowd your map too much. Ask a colleague to take a minute to check it communicates what you want to say.

DON’T

DO


Try to cram everything into one map.

Avoid creating an overcrowded map with too much detail. Consider creating separate maps for different audiences. Keep the noise to a minimum – this also applies to the map background.

Source: CartONG demo data (click on the image to enlarge it)

3- Use solid data – and present it in a meaningful way

As a general rule, stick to trusted data sources. Examples include the Humanitarian Data Exchange (HDX), ReliefWeb, government websites and recognised universities or research institutions. Make users aware of where the data is from, so that they can check it against the map, or use it themselves.

Have you decided to create a map with a dataset that you came across somewhere – but can’t remember where? Are the figures making sense? Whether or not you have any doubts, it is never a bad idea to triangulate your data.

The context of your map project will determine whether you should use absolute or relative figures. For Ebola and other diseases with extremely high mortality rates, absolute values may be more relevant, while for fast-spreading diseases such as COVID-19, relative figures might be more informative. For example, think about the different impacts of one hundred new cases on a population of one thousand or one million.

DON’T

DO

Use data without proper attribution
Make clear what you are showing. In the case of epidemics/pandemics, do the numbers represent all cumulative cases or new cases only? Are you using absolute figures or percentages?


Source: The Guardian (click on the image to enlarge it)

4- To show evolution over time, focus on displaying meaningful difference

In the context of an epidemic, it is often a great idea to show how the situation is evolving with a series of maps. However, if you would like to show a difference over time, make sure that the audience can see this very point – the difference. It is also important to show a meaningful difference. With very rapidly spreading diseases such as COVID-19, one or two new daily cases on top of the existing two hundred cases may not be statistically significant, while over twenty new cases accumulated over a week could start to make a significant difference to the situation.

DON’T

DO


Repeat the same map over and over.


Use statistically meaningful intervals to show how a situation evolves over time. Likewise, use data visualisation settings that clearly display change over time.

Source: CartONG demo data (click on the image to enlarge it)

5- Metadata is there for a reason

When taking a look at a map, you might think: “Why does this map say there are so few cases of COVID-19 yesterday? I heard in the news that there were at least 30 new cases, maybe many more”. It may be that crucial metadata is missing. Metadata is information about data, such as when the map was produced and when the underlying data was captured. With pandemics of any kind, data freshness is crucial for providing an accurate picture of the situation.

As well as dates, it’s important to share other information about the map. For example, do the administrative boundaries reflect the latest geopolitical situation? Who has provided the locations of the healthcare units? By including the metadata, you will be pre-answering many questions that the map’s intended audience may have about it.

DON’T

DO


Forget to include metadata on the map

Clearly display the date the map was created, when the data was captured, and all other relevant information about the data. This also applies to administrative boundaries and other information in basemaps. Remember to include the sources of the data, credits and disclaimers.



Source: MapAction (click on the image to enlarge it)

6- Give some context to your data

Data on its own can be difficult to interpret without any context. Say, you are about to display 26 new and 465 existing cases in your country of interest. However, without further information about the context, it can be difficult for the audience to understand the full message of the map. Is the situation good or bad, deteriorating or improving?

In a context of a pandemic, you may want to compare to the situation elsewhere (e.g. other regions or countries). Another useful tip is to put the data into a temporal context by accompanying the map with a timeline chart. An alternative option to display this is to use a sequence of several maps – however, as mentioned in point 4, the whichever comparative element you choose, you should clearly display the difference between the two intervals.

DON’T

DO

Create a map without any context
Add context to your data: helpful elements include:

– comparison with other countries or regions
– timeline chart
– other visualisations / maps
– sequence of maps



Source: ft.com (click on the image to enlarge it)

7- Be responsible: consider privacy and remember that data can be weaponised

In today’s world of crowdmapping and geotagging (with or without consent), it can be tempting to create maps in granular detail. However, you should always  consider medical data either at personal/household level or at community level as SENSITIVE information which requires a careful approach in terms of ethics, legal, organizational and technical protection measures. If you or someone in your family became infected with a disease, you probably would not like the whole world to see this on a map!

It is then important to raise questions such as : is it really appropriate or necessary for my operations to display data to such a detailed degree (e.g. at household or neighborhood/village level)? Are you absolutely certain that people cannot be identified through your aggregated data visualisation? Are you sure that there is no risk for the concerned population (e.g. mainly risk of stigmatisation and social threats in an epidemic context) to display such information?  Did you put in place appropriate measures to prevent people who don’t need to have access to the map or the source data (especially in case of dynamic maps based on line listing)? In case of doubt it’s always better not to share the map than to do harm!

Likewise, if your map is dealing with data obtained by surveys using website user tracking or similar, are you certain that respondents have consented to the mapping of their locations? If in doubt, double-check with the data provider.

DON’T

DO


Display data at individual or household level (except if there is a real relevance for operation)

Do a very granular map just because it can be useful

Overlook issues related to privacy and personal information – imagine your house in the map below.

Consider epidemiological data per default as sensitive information requesting extra caution.

Do a quick risk analysis (for the mapped individuals or population) before displaying any data

Ensure that your map isreally needed and relevant for the operation/audience in question

Think twice before sharing any epidemiological product (and ensure that only people needing the data have access to it)

Request legal and ethical support to ensure privacy, safety and a lawful basis to your data processing

Try to anonymise the data (especially through spatial aggregation) as much as you can

Source: CartONG demo data (click on the image to enlarge it)

8- Find the right balance between “perfection” and “good enough”

Most of the time, GIS practitioners are aiming to create products that are both informative and visually attractive. However, in rapid emergency response situations, maps often need to be ready in very tight deadlines. In this case, the priority is to create a simple map that shows the main point you wish to make. Cartographic enhancements such as colours, symbols and other possible data layers can usually wait. Therefore, before commencing the map building process, clarify the deadline and priority need.

An example of a simple map used in a context of flash floods at Djibouti.

DON’T

DO

Use “one size fits all” approach for the map creation process
Consider what the priority need is – speed of production, cartographic detail or something else?

Ensure that the map is consistent with the required need



Source: MapAction (click on the image to enlarge it)

9- Consider the life span and adaptability of your map

Especially when working to tight deadlines, it can be tempting to cut corners with things like symbology, extent and labels. However, in a pandemic or epidemic situation in particular, it is wise to consider how the situation will evolve over time and factor that into your map’s design. This includes choosing a map extent, symbology and scale that can accommodate potential geographical expansion and a rapid or pronounced increase in cases.

DON’T

DO

Treat a map as a one-off product (or do so consciously!)
Create a cartographic design with symbology and extent to accommodate the potential numerical and spatial expansion of the situation.

10- Don’t forget that even a map needs a marketing and distribution strategy!

Did you just export the very final version of your map, thinking that your work was done? Not so fast! Now you have to make sure it reaches the right people. If it’s intended for a small group of operations managers, then sharing it by email may do the job. But what about maps that are meant for larger internal or external audiences?

Where appropriate, make use of social media channels for sharing your work. With the use of appropriate hashtags such as #covid19 or #pandemicmapping, you might be able to reach large audiences on Twitter, LinkedIn or Facebook. By distributing your product publicly, you will be serving not only your own team but also the broader humanitarian community, and avoiding others reinventing the wheel!

Print distribution needs to be taken into account as well. Getting your hands on a paper map is often really important in the field and should not be neglected!

DON’T

DO

Assume that a good product will sell itself.
Take some time to set a marketing and distribution plan for your map. The main goal is to ensure that it reaches its target audiences, whether internal or external.

Additional resources and further reading:

Whether you have found this resource useful or not, we would love to hear back from you 😊 Please take one minute to fill in this 5 question survey: https://framaforms.org/questionnaire-de-satisfaction-help-center-covid-19-1594987789 to help improve the guidance we will continue producing in the context of this project!

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This project was co-funded by the French Development Agency (AFD) and the H2H Network’s H2H Fund, the latter supported by UK aid from the UK government. Nevertheless, the ideas and opinions presented in this document do not necessarily represent those of the H2H Network, UK aid and AFD.

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