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Statements

Subject Item
dbr:Pedometric_mapping
rdf:type
dbo:Automobile
rdfs:label
Pedometric mapping
rdfs:comment
Pedometric mapping, or statistical soil mapping, is data-driven generation of soil property and class maps that is based on use of statistical methods. Its main objectives are to predict values of some soil variable at unobserved locations, and to access the uncertainty of that estimate using statistical inference i.e. statistically optimal approaches. From the application point of view, its main objective is to accurately predict response of a soil-plant ecosystem to various soil management strategies—that is, to generate maps of soil properties and soil classes that can be used for other environmental models and decision-making. It is largely based on applying geostatistics in soil science, and other statistical methods used in pedometrics.
foaf:depiction
n13:Traditional_soil_map_vs_pedometric_map.png
dct:subject
dbc:Cartography dbc:Geostatistics dbc:Pedology
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36184691
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1084184149
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dbr:Uncertainty dbr:Stochastic dbr:Information_theory dbr:Soil_map dbr:Kriging n10:Traditional_soil_map_vs_pedometric_map.png dbr:Soil_mapping dbr:Kalman_filter dbr:Statistical_inference dbr:BLUP dbr:Soil_Moisture_and_Ocean_Salinity_satellite dbr:LiDAR dbc:Cartography dbr:Data_mining dbr:Pedogenesis dbr:SRTM dbr:Data_assimilation dbr:Greek_language dbr:Geostatistics dbr:Georges_Matheron dbr:Statistical_distribution dbr:Hans_Jenny_(pedologist) dbr:Regression-kriging dbr:Digital_soil_mapping dbr:Soil_science dbr:Wavelets dbr:Precision_agriculture dbr:Clorpt dbr:Soil_spectroscopy dbr:Remote_sensing dbr:Fuzzy_set dbr:MODIS dbr:Chaos_theory dbc:Geostatistics dbr:Pedometrics dbr:Fuzzy_logic dbr:Reproducible_research dbr:Portmanteau dbr:Landsat dbr:Automated_mapping dbr:Simulation dbr:Advanced_Spaceborne_Thermal_Emission_and_Reflection_Radiometer dbr:Deterministic dbr:Soil_taxonomy dbr:Soil_types dbr:Pedology dbc:Pedology dbr:Digital_elevation_model
dbo:wikiPageExternalLink
n7:casoilresource.lawr.ucdavis.edu n7:geomorphometry.org n7:www.digitalsoilmapping.org n7:www.pedometrics.org n7:www.isric.org n20:%23fig07.R
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n13:Traditional_soil_map_vs_pedometric_map.png?width=300
dbo:abstract
Pedometric mapping, or statistical soil mapping, is data-driven generation of soil property and class maps that is based on use of statistical methods. Its main objectives are to predict values of some soil variable at unobserved locations, and to access the uncertainty of that estimate using statistical inference i.e. statistically optimal approaches. From the application point of view, its main objective is to accurately predict response of a soil-plant ecosystem to various soil management strategies—that is, to generate maps of soil properties and soil classes that can be used for other environmental models and decision-making. It is largely based on applying geostatistics in soil science, and other statistical methods used in pedometrics. Although pedometric mapping is mainly data-driven, it can also be largely based on expert knowledge—which, however, must be utilized within a pedometric computational framework to produce more accurate prediction models. For example, data assimilation techniques, such as the space-time Kalman filter, can be used to integrate pedogenetic knowledge and field observations. In the information theory context, pedometric mapping is used to describe the spatial complexity of soils (information content of soil variables over a geographical area), and to represent this complexity using maps, summary measures, mathematical models and simulations. Simulations are a preferred way of visualizing soil patterns, as they represent their deterministic pattern (due to the landscape), geographic hot-spots, and short range variability (see image, below).
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wikipedia-en:Pedometric_mapping