Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Custom Methodology to Improve Geospatial Interpolation at Regional Scale with Open-Source Software |
| Abstract | This study shows a methodological approach to improve geospatial interpolation carried out with the Inverse Distance Weighted algorithm using distances and other parameters to which we attribute relative weights such as elevation. We also provide reliable information about better data output by elaborating a more realistic confidence interval with various percentages of reliability. We tested the methodology to monthly accumulated rainfall and temperatures recorded by multiple monitoring stations in the Puglia region in South Italy. The whole procedure has been called Augmented Inverse Distance Weighted and is tested with the ultimate goal of predicting missing values at a regional scale based on cross-validation techniques applied to a dataset consisting of ten years of precipitation data and five years of temperature data. The efficacy of this approach is evaluated using statistical scores regularly employed in the model's evaluation studies. Results show that the improvements over the classical approach are remarkable and that the "augmented" method provides more accurate measurements of environmental variables. The main application of this algorithm is the possibility to provide the spatialisation of values of precipitation and temperature, or any other based on its own needs, at every point of the territory, playing a very important role in agricultural decision support systems and letting us identify frosts, drought events, climatic trends, accidental events, cyclicality and seasonality. |
| Source | Knowledge (Bristol) 2 (1), pp. 88–102 |
| Keywords | geospatial interpolation; monitoring network; agricultural DSS; time series; open-source software |
| Journal | Knowledge (Bristol) |
| Editor | Phoenix, London, Regno Unito |
| Year | 2022 |
| Type | Articolo in rivista |
| DOI | 10.3390/knowledge2010005 |
| Authors | Carmine Massarelli, Claudia Campanale, Vito Felice Uricchio |
| Text | 464339 2022 10.3390/knowledge2010005 geospatial interpolation; monitoring network; agricultural DSS; time series; open source software Custom Methodology to Improve Geospatial Interpolation at Regional Scale with Open Source Software Carmine Massarelli, Claudia Campanale, Vito Felice Uricchio Water Research Institute, Italian National Research Council IRSA CNR , 70132 Bari, Italy This study shows a methodological approach to improve geospatial interpolation carried out with the Inverse Distance Weighted algorithm using distances and other parameters to which we attribute relative weights such as elevation. We also provide reliable information about better data output by elaborating a more realistic confidence interval with various percentages of reliability. We tested the methodology to monthly accumulated rainfall and temperatures recorded by multiple monitoring stations in the Puglia region in South Italy. The whole procedure has been called Augmented Inverse Distance Weighted and is tested with the ultimate goal of predicting missing values at a regional scale based on cross validation techniques applied to a dataset consisting of ten years of precipitation data and five years of temperature data. The efficacy of this approach is evaluated using statistical scores regularly employed in the model s evaluation studies. Results show that the improvements over the classical approach are remarkable and that the augmented method provides more accurate measurements of environmental variables. The main application of this algorithm is the possibility to provide the spatialisation of values of precipitation and temperature, or any other based on its own needs, at every point of the territory, playing a very important role in agricultural decision support systems and letting us identify frosts, drought events, climatic trends, accidental events, cyclicality and seasonality. 2 Published version https //www.mdpi.com/2673 9585/2/1/5/htm Articolo in rivista Phoenix 1464 1453 Knowledge Bristol Knowledge Bristol Knowledge Bristol Knowledge Bristol K Bristol K mag Bristol claudiacampanale CAMPANALE CLAUDIA vitofelice.uricchio URICCHIO VITO FELICE carmine.massarelli MASSARELLI CARMINE |