| Attributes | Values |
|---|
| rdf:type
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| Description
| - Conventional soil survey carried out in the past can be a good source of easily available data. These data, which were originally collected for other purposes, can be used and processed by new methods. Methods and schemes of obtaining conventional soil survey data differ from requirements, which are set up for geostatistical methods predicting properties over an area. Arrangement of sampling scheme can be a good example. Processing of these data to usable form must be therefore the first step prior to using these data. The aim of this study is to present potential exploitation of data from conventional soil survey for interpolation technique. In the study the limitation of exploitation of these data and possible ways how to overcome these problems are shown. Several possibilities of treatment of the data are presented. Benefits of exploitation of auxiliary data are presented as well. Point data from conventional soil survey from the 1960’s were used. The original dataset contains about 600 sampli
- Conventional soil survey carried out in the past can be a good source of easily available data. These data, which were originally collected for other purposes, can be used and processed by new methods. Methods and schemes of obtaining conventional soil survey data differ from requirements, which are set up for geostatistical methods predicting properties over an area. Arrangement of sampling scheme can be a good example. Processing of these data to usable form must be therefore the first step prior to using these data. The aim of this study is to present potential exploitation of data from conventional soil survey for interpolation technique. In the study the limitation of exploitation of these data and possible ways how to overcome these problems are shown. Several possibilities of treatment of the data are presented. Benefits of exploitation of auxiliary data are presented as well. Point data from conventional soil survey from the 1960’s were used. The original dataset contains about 600 sampli (en)
- Conventional soil survey carried out in the past can be a good source of easily available data. These data, which were originally collected for other purposes, can be used and processed by new methods. Methods and schemes of obtaining conventional soil survey data differ from requirements, which are set up for geostatistical methods predicting properties over an area. Arrangement of sampling scheme can be a good example. Processing of these data to usable form must be therefore the first step prior to using these data. The aim of this study is to present potential exploitation of data from conventional soil survey for interpolation technique. In the study the limitation of exploitation of these data and possible ways how to overcome these problems are shown. Several possibilities of treatment of the data are presented. Benefits of exploitation of auxiliary data are presented as well. Point data from conventional soil survey from the 1960’s were used. The original dataset contains about 600 sampli (cs)
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| Title
| - Aplikace umělých neuronových sítí na údaje tradičního půdního průzkumu (cs)
- Application of artificial neural networks on traditional soil survey data.
- Application of artificial neural networks on traditional soil survey data. (en)
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| skos:prefLabel
| - Aplikace umělých neuronových sítí na údaje tradičního půdního průzkumu (cs)
- Application of artificial neural networks on traditional soil survey data.
- Application of artificial neural networks on traditional soil survey data. (en)
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| skos:notation
| - RIV/60460709:41210/04:8414!RIV/2005/GA0/412105/N
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| http://linked.open.../vavai/riv/strany
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
| |
| http://linked.open...vai/riv/dodaniDat
| |
| http://linked.open...aciTvurceVysledku
| |
| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/60460709:41210/04:8414
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| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - soil classification, artificial neural networks, pedometrics, soil data, interpolation (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...v/mistoKonaniAkce
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| http://linked.open...i/riv/mistoVydani
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| http://linked.open...i/riv/nazevZdroje
| - Global Workshop on Digital Soil Mapping
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| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...vavai/riv/projekt
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| - Borůvka, Luboš
- Penížek, Vít
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| http://linked.open...vavai/riv/typAkce
| |
| http://linked.open.../riv/zahajeniAkce
| |
| number of pages
| |
| http://purl.org/ne...btex#hasPublisher
| - Institut National de la Recherche Agronomique
|
| https://schema.org/isbn
| |
| http://localhost/t...ganizacniJednotka
| |
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