Environmental

Environmental and utility data is rich and diverse. With complexities of scale, breadth and often multiple organisation constraints. The data can be collected through many routes including via surveys, sensors and telemetry, generating a large amount of data. The environmental information provides a key resource for academia, policy makers, businesses and the public. The data includes long term surveillance, modelling and statistical reporting.

We have extensive experience working with environmental data. We have built key exemplar projects in the UK, for the Environment Agency, Natural Resources Wales and others. These have included:

bathing water quality
real-time river levels
flood warnings
public registers of waste carriers
water quality archival data
environmental codelists

and pilot projects in:

air quality data and
supply-chain carbon footprints

We have supported complexities of multi-lingual data and applications through APIs. We have delivered rich data explorers that support wider understanding of data.

Bathing Water Quality

The Bathing Water Quality service for the Environment Agency and Natural Resources Wales demonstrates a rich publication of data and context through our platform, web application and widgets

Flood Monitoring API

The Environment Agency’s Flood Monitoring API highlights a resilient API service delivering near real-time river levels, warnings, alerts and forecasts to support rich reuse by developers.

User Focused Design

Our User Focused Design supports organisations in building data and services in a way that understands, supports and meets user needs

Data Modelling and Consultancy

Our Data Modelling and Consultancy supports Environmental organisations in how they explore, design and publish reusable data as developer ready linked data.

Testimonials

Epimorphics have been working closely with us as an agile supplier, helping us to deliver our open data commitments and vision of changing the way that we provide information on the environment. As a result, our data is more open, richer, and better able to support innovative reuse.

Tom Guilbert, Evidence Services - Senior Team Leader
Environment Agency