Geographical Information Systems

The need to integrate, analyze and spatially understand a variety of types of information relating to the environment and its uses has increased reliance on the use of Geographic Information Systems (GIS).

GIS permits the assimilation of information across various scales and disciplines providing an effective data management framework. GIS provides the capability to conduct spatial analysis by querying, summarizing and modeling environmental data and corresponding human activities, but also allows for improved understanding through the visualization of the environment, its uses and interactions among stakeholders.

Marine habitats of the South West Watershed Demonstration Area, Antigua

Marine habitats of the South West Watershed Demonstration Area, Antigua

A number of practical GIS short courses are offered and are customized to your organisation's data needs and capacity

 

GIS for environmental management

GIS for environmental management

Geoinformatics for Environmental Management (2 weeks)

Provides an introduction to geoinformatics and other communication technologies useful for environmental management. Students will learn key principles of GIS and ecosystem-based management and gain an understanding of the application of geoinformatics for environmental management through a number of theoretical and practical activities using ArcGIS and Google Earth. 


Data Conversion, Creation and Geodatabase Construction

Learn how to conduct a spatial data needs assessment and inventory allowing you to identify sources of information to allow you to develop a geodatabase and the skills to convert and create a range of spatial information into GIS.

South Coast Marine Park, St. Vincent

South Coast Marine Park, St. Vincent


Public Sector Smart Energy Programme, Ocean Energy Project, Division of Energy Barbados, 2018.

Public Sector Smart Energy Programme, Ocean Energy Project, Division of Energy Barbados, 2018.

Geoprocessing and Spatial Analysis

Explore spatial patterns, trends & relationships in your data using a standardized approach to problem-solving using a GIS. Learn about common types of spatial analysis (i.e. density, overlay, proximity and change) and work with analysis, display and visualization tools. Industry-specific advanced spatial analysis courses can also be developed tailored to your organisation’s learning needs.