---
title: "How to Display Environmental Sensor Data in 5 Steps with Mapify and Sensor.Community"
canonical: "https://www.city-platform.com/pt/blog/visualizar-dados-sensores-ambientais-mapify/"
locale: en
type: blog
updated_at: "2026-11-11T15:05:17.996Z"
---

# How to Display Environmental Sensor Data in 5 Steps with Mapify and Sensor.Community

Environmental monitoring is playing an increasingly important role in municipal management. Tracking indicators such as temperature, humidity, and air quality helps local authorities better understand environmental conditions and make informed decisions about sustainability and citizens' quality of life.

However, collecting data is only the first step. The real challenge lies in integrating, interpreting, and presenting that information in a clear and accessible way.

With [**Mapify**](https://www.city-platform.com/solutions/mapify/ "Mapify")**, a technology solution integrated into City as a Platform**, municipalities can transform environmental sensor data into interactive maps and real-time monitoring applications without requiring advanced programming skills.

In this article, we explore how to create an environmental data visualisation application in five steps, using information provided by [Sensor.Community](http://Sensor.Community).

## Sensor Community: Global Network of Open Environmental Data

Sensor Community is an international collaborative network that brings together environmental data collected by sensors installed by citizens and organisations.

The initiative encourages community participation in environmental monitoring, making information freely available for analysis, research, and application development.

According to the figures presented in the original article, the network included more than 12,000 active sensors across 82 countries, providing information on several environmental indicators, including:

-   Ambient temperature.
    
-   Relative humidity.
    
-   Atmospheric pressure.
    
-   Particulate matter concentrations, such as PM10 and PM2.5, which are relevant to air quality monitoring.
    

The information is accessible through a public data interface, allowing other applications to retrieve and display it in different ways.

This availability of data makes Sensor.Community an interesting example of [how environmental information can support smart city projects](https://www.city-platform.com/operational-areas/environment-and-sustainability/ "Environment and Sustainability").

![Sensor.Community infographic showing global environmental monitoring network statistics, including 10,319 active sensors across 78 countries, over 26 billion data points, and 59 community labs.](https://storage.googleapis.com/fbc-mkt-assets/caap/blog-posts/display-environmental-sensor-data-mapify/1794401478601-8a2f8b24-6915-4db9-9396-99e5d7c499cf.webp)

## 1\. Create a Dataset to Store Sensor Information

The first step is to create a _Dataset_ to store the information collected by the sensors.

This dataset should include the fields needed to identify each device and store its measurements, such as temperature, humidity, and air quality indicators.

It is also important to assign a unique identifier to each sensor, ensuring that its information can be updated correctly.

In Mapify, this structure helps organise the data before displaying it on a map or using it in monitoring processes.

![Mapify interface showing the configuration of a Sensor.Community dataset, including location, temperature, humidity, and air quality attributes for environmental monitoring.](https://storage.googleapis.com/fbc-mkt-assets/caap/blog-posts/display-environmental-sensor-data-mapify/1794401611794-2b6623a1-f629-4985-b1d5-a3274e35a5d5.webp)

## 2\. Automatically Retrieve Environmental Data

Once the data structure has been prepared, the next step is to connect to Sensor.Community.

Mapify allows users to configure an automated data collection mechanism, known as a _Data Feed_, which retrieves information from an external source through an API.

The original example uses the following endpoint:

[https://data.sensor.community/static/v2/data.json](https://data.sensor.community/static/v2/data.json)

This connection retrieves recent measurements from sensors across the network.

The data feed was configured to run **every 300 seconds, or five minutes**, allowing the application to regularly access the latest available readings.

This automated process eliminates the need to manually retrieve and update information from different files.

![Mapify interface showing the configuration of a Sensor.Community Data Feed to automatically retrieve environmental sensor data through an API, with updates every five minutes.](https://storage.googleapis.com/fbc-mkt-assets/caap/blog-posts/display-environmental-sensor-data-mapify/1794401735646-be75aaa4-5f97-4434-bb79-a24d2361947e.webp)

## 3\. Process and Organise the Information

Once the data has been retrieved, the next step is to determine how it should be processed.

In Mapify, this is achieved through _Workflows_, which allow users to visually configure sequences of operations.

In the example, a workflow receives the [Sensor.Community](http://Sensor.Community) data and saves it to the previously created dataset.

The configuration also replaces existing records with the latest measurements, helping prevent outdated values from appearing in the application.

Beyond this simple example, workflows can include validation rules, filters, and integrations with other systems.

This flexibility makes it possible to adapt data processing to different organisational needs, including municipal environmental monitoring projects.

![Mapify interface showing the configuration of a Sensor.Community Workflow to automatically process environmental sensor data and store it in a dataset.](https://storage.googleapis.com/fbc-mkt-assets/caap/blog-posts/display-environmental-sensor-data-mapify/1794406873044-098292ab-4529-4a93-a114-93ce3bee1856.webp)

![Mapify interface showing the configuration of a Sensor.Community Workflow, including geographical coordinates and environmental data mapping, such as temperature and humidity, for automatic storage in a dataset.](https://storage.googleapis.com/fbc-mkt-assets/caap/blog-posts/display-environmental-sensor-data-mapify/1794406902934-7c443824-f00a-4cb1-b174-76e45683da50.webp)

## 4\. Display Sensors on an Interactive Map

With the data organised and updated, the next step is to display it geographically.

Mapify enables users to create data layers that represent sensors on a map, using different symbols or colours to make the information easier to interpret.

In the original example, a layer was created to display sensors according to their recorded temperature.

This allows users to quickly identify temperature differences between locations without having to analyse extensive tables.

As the data is automatically updated every five minutes, the map also reflects the latest available measurements.

The same approach can be applied to other environmental indicators, including humidity and particulate matter concentrations, provided the sensors supply the relevant information.

![Mapify interface showing the styling configuration of a Sensor.Community data layer, using different colours to represent environmental sensors according to temperature ranges.](https://storage.googleapis.com/fbc-mkt-assets/caap/blog-posts/display-environmental-sensor-data-mapify/1794409401545-81f01305-95f6-43f5-ab7a-4f597af1a50c.webp)

## 5\. Create and Share a No-Code Application

The final step is to turn the map into a web application that can be accessed and shared.

After organising the data layers, users can create an application using Mapify's visual tools, customising elements such as colours, icons, and available controls.

The result is an interactive interface that allows users to explore environmental data directly on a map, using a computer or mobile device.

The application can be shared through a link, making the information accessible to different users.

With additional configuration, it is also possible to incorporate new layers, processing rules, and features tailored to specific requirements.

![Interactive map developed with Mapify, a City as a Platform solution, displaying the locations of Sensor.Community environmental sensors across Europe, with different colours representing temperature ranges.](https://storage.googleapis.com/fbc-mkt-assets/caap/blog-posts/display-environmental-sensor-data-mapify/1794409413096-695313c6-c261-47c8-b518-299d912991f1.webp)

## How Can This Technology Support Municipal Environmental Monitoring?

The [Sensor.Community](http://Sensor.Community) demonstrates how open environmental data can be transformed into practical visualisation and monitoring tools.

For municipalities, these capabilities are particularly relevant to areas such as air quality, weather conditions, and environmental indicator monitoring.

**City as a Platform**, through solutions such as Mapify, enables municipalities to integrate data from sensors and external systems, providing an up-to-date geographical view of their territory.

Beyond data visualisation, the platform also supports the configuration of rules and alerts based on incoming information, helping municipal services identify situations that require attention.

For example, municipalities can develop applications to monitor temperature variations across different areas or identify relevant changes in environmental indicators.

These capabilities can also be connected with other City as a Platform solutions, such as [Incident Management](https://www.city-platform.com/solutions/incident-management/), allowing certain sensor conditions to trigger operational follow-up processes.

It is important to note that community sensor networks may provide data with varying levels of accuracy and geographical coverage. Measurements should therefore be assessed and validated before being used to support official decisions.

More than simply collecting data, the goal is to transform environmental information into actionable insights that support more sustainable, proactive, and informed municipal management.

## Frequently asked questions

### How can municipalities monitor environmental data in real time?

Municipalities can integrate environmental sensor data and display it through interactive maps and monitoring dashboards. With City as a Platform, they can track indicators such as temperature, humidity, and air quality to support more informed decisions.

### What is Sensor.Community?

Sensor.Community is an international collaborative network that provides open environmental data collected by sensors installed by citizens and organisations. The information includes temperature, humidity, atmospheric pressure, and particulate matter measurements.

### Is it possible to create environmental monitoring applications without coding?

Yes. Mapify, a solution integrated into City as a Platform, provides visual tools for configuring environmental data collection, processing, and visualisation through interactive maps without complex programming.

### How can City as a Platform support municipal environmental management?

City as a Platform enables municipalities to integrate data from sensors and external systems, monitor environmental indicators, and configure automated alerts and workflows. These capabilities support more proactive, sustainable, and data-driven territorial management.