Abstract : Spatial data gridding is one of the effective methods to solve the
multi-source data fusion. In view of the current problems in the process
of comprehensive analysis between the cultivated land quality data and
other multi-source data, This paper, by adopting the method of the Rule
of Maximum Area (RMA), converted the cultivated land quality data to the
grid scale and analyzed the accuracy loss in the process of cultivated
land quality data gridding in 6 grid scales (10M × 10M, 5M ×
5M, 3M × 3M, 2M × 2M, 1M × 1M, 30S × 30S). Some
conclusions have been reached. (1)The use of gridding methods will have
assigned any analysis units to the specified data grid scales, and it
provides a basis for spatial data integration, comprehensive analysis
and spatial models construction;(2) Grid scale accuracy is higher, the
original figure segmentation of cultivated land quality data is more
serious, and grid results is more accurate, but grid computing time is
increased step by step;(3) Through the study of the multistage of
cultivated land quality data grid, the smaller the grid scale, the
smaller the loss area of cultivated land quality, such as 10M × 10M
gridding results lead to the most loss area, and Each grade area loss
curve has a certain regularity;(4)From accuracy and computational
efficiency, the most appropriate grid scale choice is 1M × 1M grid
of 1:10000 cultivated land quality data of Daxing for the gridding
processing.
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-420 (Part II), pp.370-380, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54341-8_39〉
https://hal.inria.fr/hal-01220848
Contributeur : Hal Ifip
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Soumis le : mardi 27 octobre 2015 - 08:29:13
Dernière modification le : mercredi 17 janvier 2018 - 10:46:40
Document(s) archivé(s) le : jeudi 28 janvier 2016 - 10:24:18
Lingling Sang, Dehai Zhu, Chao Zhang, Wenju Yun. Accuracy Loss Analysis in the Process of Cultivated Land Quality Data Gridding. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-420 (Part II), pp.370-380, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54341-8_39〉. 〈hal-01220848〉