AUTOMATED SOIL MAP COMPILATION
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概要
- 論文の詳細を見る
A soil map is conventionally prepared by an experienced surveyor via the following three steps; (1) establishment of taxonomic class, (2) allocation of sample into one of the classes, and (3) delineation of homogeneous areas in terms of mapping unit. These steps involve some degree of arbitrariness; thus soil maps prepared by two surveyors are never identical. The aim of this study is to define a certain procedure of soil map compilation, by introducing numerical handling of soil data, to obtain a reproducible and easy-to-prepare soil map, with the help of the functions of the computer-based Soil Data Management System (COSMAS). The authors applied Hayashi's theory of quantification No. 3 to numerical representation of soil profiles based on the pattern of combination of various soil attributes relevant to soil classification. The following four soil types were recognized in the scattergram plotted using numerical values assigned to the soil profiles; Gley Lowland Soil, Gray Lowland Soil, Brown Lowland Soil and Pseudogley Soil. Then, using these numerical values, discriminant analysis was carried out to classify each profile into one of the above-defined soil types. As a result, 89.7% of the observed profiles were assigned to the same soil types as assigned by a surveyor in the filed. Area delineation for each mapping unit on the basis of soil type assignment and probability of membership of a respective soil type group at a sampled site was automatically performed by an "AUTOMAP" program which was newly developed for COSMAS for graphic representation of soil data. The numerically prepared soil map showed reasonable agreement with the surveyor's A wide range of users of soil survey data can prepare various maps using the procedure proposed in this paper.
- 社団法人日本土壌肥料学会の論文
著者
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Kosaki Takashi
Faculty Of Agriculture Kyoto University
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KYUMA Kazutake
Faculty of Agriculture, Kyoto University
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TORII Kiyoshi
Faculty of Agriculture, Kyoto University
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Torii Kiyoshi
Faculty Of Agriculture Kyoto University
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Kyuma Kazutake
Faculty Of Agriculture Kinki University
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