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Selected Data About Geographic Locations

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...

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Updated: Jun 27, 2026

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island

Published on: July 14, 2023

Information in environmental data grids.

B N Lawrence¹, R Lowry, P Miller

¹Rutherford Appleton Laboratory, STFC, Didcot OX11 0QX, UK. bryan.lawrence@stfc.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|December 18, 2008

Summary

This summary is machine-generated.

This study introduces an information taxonomy and components to improve access to diverse environmental data. These tools facilitate data understanding and manipulation within the UK NERC DataGrid, enhancing data services.

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gP2S, an Information Management System for CryoEM Experiments

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Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island

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Published on: July 14, 2023

gP2S, an Information Management System for CryoEM Experiments

gP2S, an Information Management System for CryoEM Experiments

Published on: June 10, 2021

Area of Science:

Environmental data science
Information management
Distributed computing

Background:

Accessing heterogeneous environmental data across networks is challenging due to varied formats and storage.
Existing ISO standards offer limited guidance on domain-specific information landscapes.
The UK NERC DataGrid requires robust solutions for mediating data access.

Purpose of the Study:

To present a novel information taxonomy for environmental data.
To introduce two information components for data understanding and manipulation.
To demonstrate the application of these components within a real-world data infrastructure.

Main Methods:

Development of a domain-specific information taxonomy.
Creation of two distinct information components: one for data understanding, one for data manipulation.
Deployment of these components within the UK NERC DataGrid.

Main Results:

The developed information taxonomy provides a structured approach to describing environmental data.
The information components effectively aid in data understanding and manipulation tasks.
Successful integration and deployment within the UK NERC DataGrid demonstrate practical utility.

Conclusions:

The proposed information taxonomy and components offer a viable solution for homogeneous access to heterogeneous environmental data.
These tools enhance the usability and accessibility of environmental data resources.
The approach is applicable to other distributed environmental data systems.