Uncertainty Assessment in Agent-Based Simulation: An Exploratory Study

Abreu, Carolina G.; Ralha, Célia Ghedini

doi:10.1007/978-3-319-71682-4_3

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…To understand the uncertainty and limitations of our data and analyses, we usually carry out uncertainty assessments (Van Asselt 2000;Jcgm 2008;Abreu and Ralha 2017;García-Álvarez et al 2019b). In general, when we assess our data and analyses against reference data to evaluate the reliability of the information they provide, we are said to be validating the data or models (Fonte et al 2015;Van Vliet et al 2016).…”

Section: Uncertainty and Validationmentioning

confidence: 99%

Land Use Cover Mapping, Modelling and Validation. A Background

García-Álvarez

Olmedo

Mas

et al. 2022

Land Use Cover Datasets and Validation Tools

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In this chapter, we offer a brief introduction to the main concepts associated with Land Use Cover (LUC) mapping, Land Use Cover Change (LUCC) modelling and the uncertainty and validation of LUC and LUCC data and model outputs. The chapter summarizes the theoretical fundamentals required to understand the rest of the book. First, we define Land Use and Land Cover concepts that have been extensively discussed and debated in the literature (Sect. 2). Second, we review the history of LUC mapping, from the first manually produced maps to the advent of aerial and satellite imagery and the production of new datasets with much greater detail and accuracy (Sect. 3). Third, we address the usefulness of LUC data and LUCC analysis for society (Sect. 4), contextualizing all these studies and efforts within the framework of Land Change Science (Sect. 5). Fourth, we offer a brief introduction to LUCC modelling, its purpose, uses and the different stages that make up a LUCC modelling exercise (Sect. 6). We also offer a brief introduction to the different types of LUCC models currently available. Finally, we present the concepts of uncertainty and validation and offer a brief introduction to the topic (Sect. 7). The chapter also includes a short list of recommendations for further reading for those who wish to explore the theory presented here in more depth.

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Section: Uncertainty and Validationmentioning

confidence: 99%