Geographical Information Systems (GIS) aims to equip Learners with the ability to understand and apply the principles and practices of GIS in environmental contexts. Learners recognise the importance of spatial data, digital mapping and GIS analysis for environmental management and decision-making. Upon successful completion, Learners have an informed awareness of GIS concepts, methods and their application to environmental professional practice. This unit forms part of the ICM Level 5 Environmental Science Professional Qualification.
Geographical Information Systems
- Scope of GIS
- Evolution of GIS
- Components of a GIS: hardware, software, data, people, methods
- GIS for environmental science
- GIS software: QGIS, ArcGIS, web-based GIS
- Future trends: cloud GIS, big data, AI
Spatial Data Concepts
- Spatial and attribute data
- Vector data model: points, lines, polygons
- Raster data model: cells and grids
- Choosing between vector and raster
- Coordinate systems and projections
- Scale and resolution
Coordinate Systems and Map Projections
- Geographic coordinate systems (latitude, longitude)
- Projected coordinate systems
- Common projections for environmental mapping
- Distortion properties: conformal, equal area, equidistant
- British National Grid and UTM
- On-the-fly projection and reprojection
Spatial Data Sources
- Government spatial data portals
- Satellite imagery and remote sensing
- Aerial photography
- Digital elevation models (DEMs)
- OpenStreetMap and crowd-sourced data
- Environmental monitoring networks
- Field data collection (GPS, mobile apps)
Data Quality and Uncertainty
- Sources of error in spatial data
- Accuracy, precision and resolution
- Positional and attribute accuracy
- Completeness and currency
- Metadata standards
- Handling uncertainty in GIS analysis
Data Management and Standards
- Spatial data formats (shapefile, GeoPackage, TIFF, etc.)
- Data structures and organisation
- Metadata creation and management
- Data quality standards (ISO 19100 series)
- INSPIRE directive and data sharing
- Best practices for data management
Basic GIS Operations
- Navigating GIS software
- Adding, viewing and symbolising data layers
- Creating maps and layouts
- Attribute table queries
- Selection and query by location
- Basic editing of spatial data
Spatial Analysis Methods
- Buffer analysis
- Overlay analysis (intersect, union, clip)
- Proximity and distance analysis
- Statistical analysis of spatial data
- Hot spot and cluster analysis
- Suitability and site selection analysis
Terrain and Hydrological Analysis
- Digital elevation models (DEMs)
- Slope and aspect calculation
- Hillshade and visualisation
- Watershed and drainage basin delineation
- Stream network extraction
- Viewshed analysis
Remote Sensing Integration
- Principles of remote sensing
- Satellite sensors for environmental monitoring (Landsat, Sentinel, MODIS)
- Visualising and interpreting satellite imagery
- Vegetation indices (NDVI, etc.)
- Land cover and land use classification
- Change detection over time
GPS and Field Data Collection
- Principles of Global Positioning System (GPS)
- Accuracy and sources of error
- Collecting spatial data in the field
- Mobile GIS applications
- Integrating GPS data with GIS
- Health and safety for field data collection
Cartography and Map Design
- Principles of effective map design
- Map elements: title, legend, scale bar, north arrow
- Colour theory for mapping
- Symbology and classification
- Labelling and annotation
- Producing maps for reports and presentations
GIS for Environmental Management Applications
- Habitat mapping and biodiversity conservation
- Land use and land cover change analysis
- Environmental risk and hazard mapping
- Water resource management
- Climate change vulnerability assessment
- Environmental impact assessment support
GIS Project Management
- Planning a GIS project
- Data acquisition and preparation
- Workflow design and documentation
- Quality assurance and quality control
- Collaboration and version control
- Delivering GIS outputs
Ethical and Legal Issues in GIS
- Data privacy and confidentiality
- Intellectual property and data licensing
- Open data and open source GIS
- Responsible use of spatial data
- Ethical issues in environmental GIS applications
- Professional standards and codes of conduct
Example Candidate Response Booklet
Example Candidate Response (ECR) Booklets are a source of crucial information for Centres and Candidates as they use real candidate responses. We ask Senior Examiners to comment on five or more responses in terms of why the mark was awarded with commentary about how to improve the answer (if necessary).
