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GUS98

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Describes nature of land cover over some geographical area. Arable. Heather moor. Coniferous ... Coniferous- plantation. mluri. A Map Revision Problem ... – PowerPoint PPT presentation

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Title: GUS98


1
Reasoning about the Environment
Chris Skelsey Keith Matthews
Macaulay Land Use Research Institute
2
Land Cover Data
  • Describes nature of land cover over some
    geographical area
  • Varied uses

3
Land Cover Data
  • Derived from an interpretation of varied data and
    information sources
  • Aerial photographs
  • Soil maps
  • Knowledge of local management
  • Knowledge of seasonal cycles
  • Satellite imagery
  • Can automation play a more significant role?

4
Established Software
  • GIS and remote sensing packages
  • Arc/Info
  • Smallworld
  • ER-Mapper
  • PCI
  • Erdas Imagine

5
Problem Complexity
  • Procedural, quantitative functionality

1988
Areas of forest-felling
1995
6
Artificial Intelligence (AI)
  • Production rules
  • Frame systems
  • Semantic networks
  • Neural networks
  • Fuzzy logic
  • Dempster-Shafer theories

7
Limitations of AI Approaches
  • Data-specific and method-specific
  • Single software environment
  • Real-world domain complexities prevent these
    applications scaling-up
  • Most remain within the research community
  • Still need greater software flexibility

8
A Prototype AI Toolkit
  • ETORA
  • Developed within G2
  • Blackboard reasoning
  • Re-use of established software
  • ARC/INFO and PV-WAVE servers
  • Implementation of endorsement theory

9
A Prototype AI Toolkit
  • Disparate multi-source data
  • Quantitative and qualitative knowledge
  • Dynamic solution strategies
  • Use of 3rd-party, established software
  • Full reasoning explanations, associated with
    end-products

10
A Map Revision Problem
  • Land Cover of Scotland (1988) dataset
  • Requires revision

Arable
Heather moor
Coniferous- plantation
11
A Map Revision Problem
  • SYMOLAC solves a simple problem, but
    demonstrates the flexibility of ETORA
  • Produces a useful product despite real-world
    complexities

12
In Summary
  • Automation is becoming increasingly important
  • Recognised need for AI technology
  • AI approaches are often problem-specific, or
    adopt unsuitable software platforms

13
Some Conclusions
  • Prototype ETORA toolkit offers flexibility to
    solution designer
  • Exists potential to automate a greater number of
    processes involved in land cover data production

14
LADSS
  • Land Allocation Decision Support System
  • Evaluates economic impacts of land use strategies
  • Use of genetic algorithms
  • Bridge to the Smallworld GIS

15
Why use G2?
  • Flexible knowledge-representation
  • Object-orientated concepts
  • Ability to visualise the reasoning processes
  • G2-Gateway
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