1. Spatial Methodology Introduction Outline of draft Chapter Highlights
General guidance
Sector specific
Highlights

2. Chapter Introduction What does this chapter do:
Why mapped emissions data is needed:
Reporting Spatial Emissions:

3. Finding key spatial data sources
National Datasets:
Population and employment.
Gas distribution networks:
Agricultural data.
Road Network Information.
Airport activity data.
Local Inventory data:
Large Point Source Information.
International Datasets
Corine:
ICAO:
Eurostat:

4. General Guidance: Gathering and dealing with point source data
Distributing national emissions
Understanding and combining Spatial Features:
Point Sources
Area Sources (Polygons)
Area Sources (Grids)
Line Sources
Combining different spatial features
Understanding and Converting different Spatial Projections.

5. Basic Principals Gather Point Sources Grid the rest Where :
Emissionix : is the emissions attributed to a specific geographical feature (e.g. a gridcell or administrative boundary)within the spatial surrogate dataset x.
Emissiont : is the total national emission for a sector to be distributed across the national area using the (x) surrogate spatial dataset.
Valueix - jx : are the surrogate data value of each of the specific geographical features within the spatial surrogate dataset x.

6. Good Practice
Setting priorities and work with Available Resources and data
Verification procedures

7. Sectoral Guidance
Energy production and Stationary Combustion in Manufacturing Industries and Construction
Commercial Combustion
Residential
Agricultural & Forestry Combustion
Industrial Processes and Fugitive Emissions
Fugitive Emissions
Solvent Use
Road transport
Railways
Water transport
Air transport
Waste treatment and disposal

8. Dealing with multiple methods

9. Working with limited data
Landcover
Road Networks
No vehicle km data
Population and Road Maps
Landcover Class
Weighting
Industry 1
Continuous urban fabric
0.2
Discontinuous urban fabric
0.01
Ports
0.05
Airports