Papritz, Andreas Jürg

2018-01-08T07:55:00Z

2018-01-12T13:46:16Z

2019-01-08T08:48:28Z

http://hdl.handle.net/20.500.11850/226230

ETH Zurich

Software

A model building procedure to build parsimonious geoadditive model from a large number of covariates. Continuous, binary and ordered categorical responses are supported. The model building is based on component wise gradient boosting with linear effects, smoothing splines and a smooth spatial surface to model spatial autocorrelation. The resulting covariate set after gradient boosting is further reduced through backward elimination and aggregation of factor levels. The package provides a model based bootstrap method to simulate prediction intervals for point predictions. A test data set of a soil mapping case study in Berne (Switzerland) is provided. New item suggestion "Message: Bitte korrigieren Sie die Daten für den Zweitautor zu Papritz, Andreas Jürg" 2018-01-08:fknuesel.

published

ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::03812 - Or, Dani (emeritus) / Or, Dani (emeritus)

2018-01-08T07:55:01Z

yes

2018-01-12T13:44:13Z

true