Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Heuristic rules for a reliable variogram parameter tuning |
| Abstract | The variogram incorporates the basic information for the geostatistical analysis of spatial data, making it one of the most popular and widespread approaches for the evaluation and assessment of environmental data. Fitting an experimental variogram with a proper model, capable of catching the main characteristics of the sampled data, is a critical stage of spatial analysis. This stage is generally carried out using a semi-Automatic approach, with different levels of user's contribution. Once a model and the related starting parameter values have been defined, they can be refined using a trial-And-error strategy and the impact of such changes can be evaluated through several calibration indices. In this paper, we present an overview of the main indices used for the refinement of the variogram model parameters, highlighting the specific information provided by each of them together with a few heuristic strategies for driving the trial-And-error refinement process. |
| Source | 6th Envimeko 2016 Imeko Tc19 Symposium on Environmental Instrumentation, Reggio Calabria, Italy, 24-25/06/2016 |
| Keywords | variogramparameter tuningheuristics |
| Year | 2016 |
| Type | Contributo in atti di convegno |
| Authors | (1) Barca E.; (1) Bruno D.E.; (2) Lay-Ekuakille A.; (1) Maggi S.; (1) Passarella G. |
| Text | 362471 2016 Scopus 2 s2.0 84994577766 variogram parameter tuning heuristics Heuristic rules for a reliable variogram parameter tuning 1 Barca E.; 1 Bruno D.E.; 2 Lay Ekuakille A.; 1 Maggi S.; 1 Passarella G. CNR IRSA, Water Research Institute, Via F. De Blasio 5, Bari, 70132, Italy; Department of Innovation Engineering, Universita Del Salento, Via Monteroni, Lecce, 73100, Italy The variogram incorporates the basic information for the geostatistical analysis of spatial data, making it one of the most popular and widespread approaches for the evaluation and assessment of environmental data. Fitting an experimental variogram with a proper model, capable of catching the main characteristics of the sampled data, is a critical stage of spatial analysis. This stage is generally carried out using a semi Automatic approach, with different levels of user s contribution. Once a model and the related starting parameter values have been defined, they can be refined using a trial And error strategy and the impact of such changes can be evaluated through several calibration indices. In this paper, we present an overview of the main indices used for the refinement of the variogram model parameters, highlighting the specific information provided by each of them together with a few heuristic strategies for driving the trial And error refinement process. Proceedings of 6th Envimeko 2016 Imeko Tc19 Symposium on Environmental Instrumentation Rosario Morello 978 92 990075 2 5 Published version http //www.scopus.com/record/display.url eid=2 s2.0 84994577766 origin=inward 6th Envimeko 2016 Imeko Tc19 Symposium on Environmental Instrumentation Reggio Calabria, Italy 24 25/06/2016 Internazionale Su invito Barca et al., Heuristic rules for a reliable variogram parameter tuning IMEKO TC19 2016 001.pdf Contributo in atti di convegno giuseppe.passarella PASSARELLA GIUSEPPE emanuele.barca BARCA EMANUELE sabino.maggi MAGGI SABINO deliaevelina.bruno BRUNO DELIA EVELINA TA.P04.005.008 Integrazione di metodologie per il monitoraggio e la modellizzazione per la gestione delle risorse idriche |