Spatial decision support for resource allocation. Integration of optimization, uncertainty analysis and visualization

Thesis

Cover

STELLINGEN

Titlepage

Preface and Acknowlegements

Table of Contents

Glossary

1. Introduction

2. Using Simulated Annealing for Resource Allocation

3. Using Linear Integer Programming for Resource Allocation

4. Accounting for Uncertainty in Spatial Optimization

5. Evaluating the Effectiveness of Techniques for Visualizing Uncertainty

6. Conclusions

SUMMARY

SAMENVATTING

References

Appendix 1. Survey questions and statements

CURRICULUM VITAE

Color Plates

Cover