{"title":"空间插值方法的比较","authors":"Cheng Guodong Lu Ling Li Xin","doi":"10.11867/J.ISSN.1001-8166.2000.03.0260","DOIUrl":null,"url":null,"abstract":"Spatial interpolation can be classified in accordance with their basic hypotheses and mathematical natures as: geometric method, statistical method, geostatistical method, stochastic simulation method, physical model simulation method and combined method. The application areas, special algorithm, advantages and disadvantages of each interpolation method are introduced and compared in the paper. The comparison shows that there is no absolutely optimal spatial interpolation method; there is only relatively optimal interpolation method in special situation. Hence, the best spatial interpolation method should be selected in accordance with the qualitative analysis of the data, exploratory spatial data analysis and repeated experiments. In addition, the result of spatial interpolation should be strictly examined for its validity. Development of general software for spatial interpolation and strengthening the basic theory research are key issues in the future.","PeriodicalId":415150,"journal":{"name":"Advance in Earth Sciences","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"93","resultStr":"{\"title\":\"COMPARISON OF SPATIAL INTERPOLATION METHODS\",\"authors\":\"Cheng Guodong Lu Ling Li Xin\",\"doi\":\"10.11867/J.ISSN.1001-8166.2000.03.0260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spatial interpolation can be classified in accordance with their basic hypotheses and mathematical natures as: geometric method, statistical method, geostatistical method, stochastic simulation method, physical model simulation method and combined method. The application areas, special algorithm, advantages and disadvantages of each interpolation method are introduced and compared in the paper. The comparison shows that there is no absolutely optimal spatial interpolation method; there is only relatively optimal interpolation method in special situation. Hence, the best spatial interpolation method should be selected in accordance with the qualitative analysis of the data, exploratory spatial data analysis and repeated experiments. In addition, the result of spatial interpolation should be strictly examined for its validity. Development of general software for spatial interpolation and strengthening the basic theory research are key issues in the future.\",\"PeriodicalId\":415150,\"journal\":{\"name\":\"Advance in Earth Sciences\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"93\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advance in Earth Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11867/J.ISSN.1001-8166.2000.03.0260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advance in Earth Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11867/J.ISSN.1001-8166.2000.03.0260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatial interpolation can be classified in accordance with their basic hypotheses and mathematical natures as: geometric method, statistical method, geostatistical method, stochastic simulation method, physical model simulation method and combined method. The application areas, special algorithm, advantages and disadvantages of each interpolation method are introduced and compared in the paper. The comparison shows that there is no absolutely optimal spatial interpolation method; there is only relatively optimal interpolation method in special situation. Hence, the best spatial interpolation method should be selected in accordance with the qualitative analysis of the data, exploratory spatial data analysis and repeated experiments. In addition, the result of spatial interpolation should be strictly examined for its validity. Development of general software for spatial interpolation and strengthening the basic theory research are key issues in the future.
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