Principles of Geographic Information Systems - 2nd Edition

Informationen zum Autor Peter Burrough is Professor of Physical Geography! Utrecht UniversityRachael McDonnell is College Lecturer at Hertford College! University of Oxford Klappentext Provides a comprehensive introduction to the theory and practice of Geographical Information Systems (GIS). This work explains the theory and technical details behind GIS and provides the information necessary to understand why spatial information data and the information systems based on them are important in the modern world. Inhaltsverzeichnis 1. Geographical Information: Society! Science! and Systems ; 2. Data models and axioms: Formal abstractions of reality ; 3. Geographical Data in the Computer ; 4. Data input! verification! storage and output ; 5. Creating continuous surfaces from point data ; 6. Optimal interpolation using geostatistics ; 7. The analysis of discrete entities in space ; 8. Spatial analysis using continuous fields ; 9. Errors and quality control ; 10. Error propagation in numerical modelling ; 11. Fuzzy sets and fuzzy geographical objects ; 12. Current issues and trends in GIS ; APPENDIX 1 GLOSSARY OF TERMS ; APPENDIX 2 A SELECTION OF WORLD WIDE WEB GEOGRAPHY AND GIS SERVERS ; APPENDIX 3 EXAMPLE DATA SETS

Product details

• Authors: Peter A. Burrough, Burrough Peter A., Rachael McDonnell, Rachael A. McDonnell, McDonnell Rachael A.
• Publisher: Clarendon Press
• Languages: English
• Product format: Paperback / Softback
• Released: 05.02.1998
• EAN: 9780198233657
• ISBN: 978-0-19-823365-7
• Dimensions: 195 mm x 245 mm x 20 mm
• Series: Spatial Information Systems and Geostatistics; Spatial Information Systems; Spatial Information Systems and Geostatistics
• Subjects: Natural sciences, medicine, IT, technology > Geosciences > Geography; Geographical information systems (GIS) & remote sensing, Internet Guides & Online Services, Internet guides and online services, COMPUTERS / Internet / Web Services & APIs, Geographical information systems, geodata and remote sensing