{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":29,"n_cols":5,"rows_kept":29,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[3,2,3,3],[8,2,8,3],[9,2,9,3],[10,2,10,3],[11,2,11,3],[16,2,16,3],[17,2,17,3],[21,2,21,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNISA996206952403316"]
[null,null,"Titolo",null,"Spatial interpolation for climate data [[electronic resource] ] : the use of GIS in climatology and meterology / / edited by Hartwig Dobesch, Pierre Dumolard, Izabela Dyras"]
[null,null,"Pubbl/distr/stampa",null,"London ; ; Newport Beach, CA, : ISTE, 2007"]
[null,null,"ISBN",null,"1-280-84783-2"]
[{"$nulls":4},"9786610847839"]
[{"$nulls":4},"0-470-39491-9"]
[{"$nulls":4},"0-470-61226-6"]
[{"$nulls":4},"1-84704-620-7"]
[null,null,"Descrizione fisica",null,"1 online resource (304 p.)"]
[null,null,"Collana",null,"Geographical information systems series"]
[null,null,"Disciplina",null,"551.60285"]
[null,null,"Soggetti",null,"Climatology - Data processing"]
[{"$nulls":4},"Meteorology - Data processing"]
[{"$nulls":4},"Geospatial data - Mathematical models"]
[{"$nulls":4},"Geographic information systems"]
[{"$nulls":4},"Spatial data infrastructures"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Spatial Interpolation for Climate Data; 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); 1.1.1. Introduction; 1.1.2. Weather and GIS; 1.1.3. Geographical data, environmental data and weather data; 1.1.4. A GIS approach to access weather data; 1.2. Data and metadata; 1.2.1. Introduction; 1.2.2. Important datasets; 1.2.3. Metadata; 1.2.4. Open Geospatial Consortium; 1.2.5. EU strategies for data handling and standards"]
[{"$nulls":4},"1.2.6. Meteorological datasets, important projects and programs1.2.7. Projects using Earth Observation satellites; 1.3. Interoperability; 1.3.1. Introduction; 1.3.2. Technology for service-oriented architectures; 1.3.3. Interoperability in GIS; 1.3.4. Open Geospatial Consortium foundation ideas; 1.3.5. Standardized geospatial Web services; 1.3.6. GIS and AS interoperability potential: data model and formats; 1.3.7. Atmospheric data model; 1.3.8. Support from GIS for atmospheric data "]
[{"$nulls":4},"formats; 1.4. Conclusions; 1.5. Bibliography; Chapter 2. SIGMA: A Web-based GIS for Environmental Applications"]
[{"$nulls":4},"2.1. Introduction2.2. CPTEC-INPE; 2.3. SIGMA; 2.3.1. Basic functions; 2.4. Impacts of weather conditions on the economy; 2.5. Severe Weather Observation System (SOS); 2.5.1. Tracking of convective clouds; 2.5.2. Risk of lightning occurrence; 2.6. SOS interface; 2.7. Conclusions; 2.8. Acknowledgements; 2.9. Bibliography; Chapter 3. Web Mapping: Different Solutions using GIS; 3.1. Introduction; 3.2. Examples of Web mapping based on the usage of GIS technology in offline mode; 3.3. Examples of Web mapping using GIS tools in online mode; 3.4. Conclusion; 3.5. Bibliography"]
[{"$nulls":4},"Chapter 4. Comparison of Geostatistical and Meteorological Interpolation Methods (What is What?)4.1. Introduction; 4.2. Mathematical statistical model of spatial interpolation; 4.2.1. Statistical parameters; 4.2.2. Linear meteorological model for expected values; 4.2.3. Linear regression formula; 4.3. Geostatistical interpolation methods; 4.3.1. Ordinary kriging formula; 4.3.2. Universal kriging formula; 4.3.3. Modeling of unknown statistical parameters in geostatistics; 4.4. Meteorological interpolation; 4.4.1. Meteorological interpolation formula"]
[{"$nulls":4},"4.4.2. Possibility of modeling unknown statistical parameters in meteorology4.4.3. Difference between geostatistics and meteorology; 4.5. Software and connection of topics; 4.6. Example of the MISH application; 4.7. Bibliography; Chapter 5. Uncertainty from Spatial Sampling: A Case Study in the French Alps; 5.1. Introduction; 5.2. The sample as a whole; 5.3. Looking in detail where the sample is not representative; 5.4. Summarizing the sampling uncertainty; 5.4.1. 2D simplification; 5.4.2. 3D generalization; 5.4.3. Geographic homogenous sub-regions of the sample"]
[{"$nulls":4},"5.4.4. Interpolation of a climate parameter"]
[null,null,null,"Sommario/riassunto","This title gives an authoritative look at the use of Geographical Information Systems (GIS) in climatology and meterology. GIS provides a range of strategies, from traditional methods, such as those for hydromet database analysis and management, to new developing methods. As such, this book will provide a useful reference tool in this important aspect of climatology and meterology study."]