How do you visualize and communicate spatial environmental data to different audiences?

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Spatial analysis and statistics are essential tools for environmental monitoring, as they allow you to explore, interpret, and communicate the patterns and trends of environmental data. However, different audiences may have different needs and expectations when it comes to spatial data visualization and communication. In this article, you will learn some tips and best practices for creating effective and engaging spatial data products for various stakeholders, such as policymakers, scientists, managers, and the public.

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Richa Kanojia

Environmental Expert | 7+ Years in Air, Water & Soil Quality Monitoring, Analysis & Management | EIA Specialist | ISO…
Dhanya Bulla

Climate modelling | Flood estimation |

1 Know your audience

The first step in creating a spatial data product is to understand who your audience is and what they want to learn from your data. Different audiences may have different levels of technical knowledge, interest, and attention span, and may require different types of data, maps, charts, and narratives. For example, policymakers may want to see the big picture and the implications of your data for decision-making, while scientists may want to see the details and the methods of your analysis. Therefore, you should tailor your spatial data product to suit your audience's needs and preferences.

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Richa Kanojia

Environmental Expert | 7+ Years in Air, Water & Soil Quality Monitoring, Analysis & Management | EIA Specialist | ISO 14001 Lead Auditor
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I think it's important to understand your target audience. Different audiences will have varying technical knowledge, interests, and needs. For example: Scientists and researchers may want detailed, data-heavy visualizations. Policymakers often need data distilled into clear trends and actionable insights. The general public usually prefers engaging, easy-to-understand graphics. Avoid jargon with lay audiences, but don't oversimplify for expert ones.

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Livia Guimar?es Andrade

Geógrafa | Conectando empresas com solu??es inovadoras | Apoiando as empresas em projetos de restaura??o e reflorestamento | ESG
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Saber quem é o público é o primeiro passo para definir o que, como e quando comunicar. Idealmente uma plataforma que comporte a possibilidade de mudar a visualiza??o e a composi??o da cesta de indicadores conforme o público traz eficiência e eficácia na gest?o dos dados. Um monitoramento constante sobre a aderência do que está sendo apresentado é importante para revis?es pontuais e um roadmap sazonal de melhoria continua.

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Ricardo Guerra

Regional Sales Director, Latin America at Planet Labs | Ranked #45 among the Top 50 Most Influential People on LinkedIn Brazil in 2024.
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Fundamental impotancia, ao desenvolver um produto de dados espaciais, é essencial entender quem comp?e o público-alvo e suas necessidades específicas. Diferentes grupos, como formuladores de políticas e cientistas, têm distintos níveis de expertise e interesse, exigindo apresenta??es variadas, desde panoramas estratégicos até detalhes analíticos. A Planet por exemplo é uma empresa que utiliza imagens de satélite para enriquecer essas análises, oferecendo insights visuais que n?o só informam, mas também facilitam decis?es informadas e estratégias baseadas em evidências.

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2 Choose the right data

The next step is to select the most relevant and reliable data for your spatial analysis and visualization. Depending on your research question and audience, you may need to use different types of data, such as point, line, polygon, raster, or vector data, and different sources of data, such as satellite imagery, field surveys, census data, or social media data. You should also consider the quality, accuracy, and completeness of your data, and address any issues such as missing values, outliers, or errors. You should also document your data sources and methods clearly and transparently.

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3 Use appropriate methods

The third step is to apply appropriate spatial analysis and statistical methods to your data, depending on your research question and objectives. Spatial analysis and statistics can help you to describe, explore, model, and test the spatial patterns and relationships of your data. For example, you can use spatial analysis and statistics to measure the distribution, density, clustering, correlation, or causation of your data. You should also consider the spatial scale, resolution, and projection of your data, and how they may affect your results and interpretation.

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Richa Kanojia

Environmental Expert | 7+ Years in Air, Water & Soil Quality Monitoring, Analysis & Management | EIA Specialist | ISO 14001 Lead Auditor
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Different types of spatial data are best suited to different visualization and analysis methods. For instance: Vector data (points, lines, polygons) works well for discrete features like roads and buildings. Raster data (pixels) is ideal for continuous phenomena like temperature or elevation. Cartograms and flow maps can highlight spatial interactions and movements.

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4 Visualize your data

The fourth step is to visualize your data in a clear and attractive way, using maps, charts, graphs, or other visual elements. Visualizing your data can help you to communicate your findings, insights, and recommendations to your audience, as well as to highlight the spatial aspects of your data. However, you should also avoid overloading your visualizations with too much information, colors, or symbols, and use consistent and intuitive design principles. You should also provide captions, legends, labels, and scales to help your audience understand your visualizations.

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Dhanya Bulla

Climate modelling | Flood estimation |
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Use spatial data and other attractive ways like maps, charts and interactive charts. Tools such as ArcGIS and QGIS helps in creating detailed interactive and shareable maps to use within the organization or tho the public. Many online tools such as canva can also be used to present the infographics.

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5 Tell a story

The fifth step is to tell a story with your spatial data, using narratives, captions, headlines, or other text elements. Telling a story can help you to engage your audience, convey your message, and persuade your audience to take action or change their behavior. However, you should also avoid misleading or exaggerating your story, and use factual and evidence-based statements. You should also use simple and concise language, and avoid jargon or technical terms that may confuse your audience.

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Dhanya Bulla

Climate modelling | Flood estimation |
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Telling a story using ArcGIS storymaps has become popular these days. Whether it can be a trip you have been to, or to map flood risk zones in your area, this ArcGIS app provides many visualization tools. To mention a few- interactive charts, express maps and immersive reading option for key points.

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6 Get feedback

The final step is to get feedback on your spatial data product from your audience or other experts, and revise it accordingly. Getting feedback can help you to improve the quality, clarity, and effectiveness of your spatial data product, as well as to identify any errors, gaps, or biases. You should also test your spatial data product on different devices, platforms, and formats, and ensure that it is accessible and user-friendly for your audience.

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How do you visualize and communicate spatial environmental data to different audiences?

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1 Know your audience

2 Choose the right data

3 Use appropriate methods

4 Visualize your data

5 Tell a story

6 Get feedback

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