– The Self-Organizing Map (SOM) [1] is an effective tool for clustering and data mining. One way to extract cluster structure from a trained SOM is by clustering its weights, which has great potential for automation. This potential is not fully realized by existing algorithms, and leaves large, high-dimensional, complex data to semi-manual treatment. Our main contribution is the exploitation of...

There is currently a significant need to improve our understanding of the factors that control a number of critical soil processes by integrating physical, chemical and biological measurements on soils at microscopic scales to help produce 3D maps of the related properties. Because of technological limitations, most chemical and biological measurements can be carried out only on exposed soil su...

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a b s t r a c t a r t i c l e i n f o Keywords: Fuzzy c-means clustering Fuzzy validity function Digital soil mapping Sensit...

in order to determine optimum landuses (in accordance with natural capability) and improve the current land management, landuse planning process was applied by using gis. within the framework of system analysis approach basic ecological and socio-economic , data were mapped. the mapped data were digitized and imported to idrisi and arc/info to build a database ,along with other descriptive data...

Diagnosis of soil salinity and its spatial variability is required to establish control measures in irrigated agriculture. This article shows the usefulness of electromagnetic (EM) and soil sampling techniques to map salinity. We analysed the salinity of a 1-ha plot of surface-irrigated olive plantation in Aragon, NE Spain, by measuring the electrical conductivity of the saturation extract (ECe...

One important method to obtain the continuous surfaces of soil properties from point samples is spatial interpolation. In this paper, we propose a method that combines ensemble learning with ancillary environmental information for improved interpolation of soil properties (hereafter, EL-SP). First, we calculated the trend value for soil potassium contents at the Qinghai Lake region in China bas...

Soil classification systems are very useful for a simple and fast summarization of soil properties. These systems indicate the method for data summarization and facilitate connections among researchers, engineers, and other users. One of the practical systems for soil classification is Soil Taxonomy (ST). As determining  soil classes for an  entire area is expensive, time-consuming, and almost ...

Soil type maps at the scale of 1..1 000 000 are used extensively to provide soil spatial distribution information for soil erosion assessment and watershed management models in China. However, the soil property maps produced through conventional direct linking method usually suffer low accuracy as well as the lack of spatial details within a soil type polygon. This paper presents an effective m...