Error-Aware Spatio-Temporal Aggregation in the Model Web

Autor:	Benedikt Graeler, Christoph Stasch, Lydia Gerharz, Edzer Pebesma
Rok vydání:	2013
Předmět:	Workflow Coupling (computer programming) Computer science Monte Carlo method Probabilistic logic Probability density function Data mining computer.software_genre computer Field (geography) Environmental model
Zdroj:	Geographic Information Science at the Heart of Europe ISBN: 9783319006147 AGILE Conf.
Popis:	Spatio-temporal aggregation of observed or predicted values for environmental phenomena is needed for fusing sensor data or coupling sensors and environmental models. However, estimates from sensors or environmental models can never represent our world precisely and are subject to errors. Hence, there is uncertainty in the estimates that needs to be considered in environmental model workflows. This chapter presents an approach for an error-aware spatio-temporal aggregation in the Web, where probabilistic uncertainties are used within a Monte Carlo simulation. The approach is applied in a Web-based model chain that provides uncertain crop yield predictions on field parcel level that are aggregated to larger regions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a3b19b6c772fc1d95e50f8e8afdc4cc8 https://doi.org/10.1007/978-3-319-00615-4_12 Zobrazit plný text záznamu