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Spatial interpolation for climate data
Title statement Spatial interpolation for climate data [elektronický zdroj] : the use of GIS in climatology and meterology / edited by Hartwig Dobesch, Pierre Dumolard, Izabela Dyras. Issue data London ; Newport Beach, CA : ISTE, 2007. Phys.des. 1 online zdroj (xvii, 284 s.) : barev. il., mapy ISBN 9781847046208 (electronic bk.) 1847046207 (electronic bk.) Edition Geographical information systems series Internal Bibliographies/Indexes Note Obsahuje bibliografické odkazy a rejstřík Contents Cover -- Table of Contents -- Preface -- Part 1. GIS to Manage and Distribute Climate Data -- Chapter 1. GIS, Climatology and Meteorology -- 1.1. GIS technology and spatial data (working group 1) -- 1.2. Data and metadata -- 1.3. Interoperability -- 1.4. Conclusions -- 1.5. Bibliography -- Chapter 2. SIGMA: A Web-based GIS for Environmental Applications -- 2.1. Introduction -- 2.2. CPTEC-INPE -- 2.3. SIGMA -- 2.4. Impacts of weather conditions on the economy -- 2.5. Severe Weather Observation System (SOS) -- 2.6. SOS interface -- 2.7. Conclusions -- 2.8. Acknowledgements -- 2.9. Bibliography -- Chapter 3. Web Mapping: Different Solutions using GIS -- 3.1. Introduction -- 3.2. Examples of Web mapping based on the usage of GIS technology -- 3.3. Examples of Web mapping using GIS tools in online mode -- 3.4. Conclusion -- 3.5. Bibliography -- Chapter 4. Comparison of Geostatistical and Meteorological -- 4.1. Introduction -- 4.2. Mathematical statistical model of spatial interpolation -- 4.3. Geostatistical interpolation methods -- 4.4. Meteorological interpolation -- 4.5. Software and connection of topics -- 4.6. Example of the MISH application -- 4.7. Bibliography -- Chapter 5. Uncertainty from Spatial Sampling: A Case Study -- 5.1. Introduction -- 5.2. The sample as a whole -- 5.3. Looking in detail where the sample is not representative. -- 5.4. Summarizing the sampling uncertainty -- 5.5. Conclusion -- 5.6. Bibliography -- Part 2. Spatial Interpolation of Climate Data -- Chapter 6. The Developments in Spatialization of Meteorological and -- 6.1. Introduction -- 6.2. Spatialization -- 6.3. Why spatialization? -- 6.4. The role of GIS in developing spatialization within climatology -- 6.5. Methodology -- 6.6. Data representativity, quality and reliability -- 6.7. Applications -- 6.8. Climate indices -- 6.9. Gridded datasets -- 6.10. Recommendations and future outlook -- 6.11. Bibliography -- Chapter 7. The Spatial Analysis of the Selected Meteorological Fields -- 7.1. Introduction -- 7.2. Spatialization problems using standard observation data -- 7.3. Spatialization using remote sensing data -- 7.4. Conclusions -- 7.5. Acknowledgements -- 7.6. Bibliography -- Chapter 8. Optimizing the Interpolation of Temperatures by GIS: -- 8.1. Limits of the interpolation in a heterogenous space -- 8.2. Optimizing the spatial distribution of the stations -- 8.3. Underlying space assumptions -- 8.4. Theoretical structure of our model -- 8.5. The process of linear modeling for the selected factors -- 8.6. Determination of the optimal positioning of P -- 8.7. An example of implementation -- 8.8. Consequences and spatial/structural understanding -- 8.9. Determination of authorized spaces -- 8.10. Taking uncertainty into account: a choice/given couple -- 8.11. The standardization process -- 8.12. Results for the addition of stations -- 8.13 & Another responsib. Dobesch, Hartwig.
Dumolard, Pierre.
Dyras, Izabela.Subj. Headings geografické informační systémy * Climatology - Data processing. * klimatologie * Meteorology - Data processing. * meteorologie * Geospatial data - Mathematical models. * Geographic information systems. * Spatial data infrastructures. Form, Genre elektronické knihy * Electronic books. Conspect 004.9 - Speciální počítačové metody. Počítačová grafika UDC 551.5 * 551.58 * 004.9:91 Country Velká Británie Language angličtina URL http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=179234 Document kind ELECTRONIC RESOURCES 
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