Modifiable temporal unit problem

Çöltekin, Arzu; Sabbata, Stefano De; Willi, Christine Hallier; Vontobel, I; Pfister, S; Kuhn, Marlene; Lacayo, M

doi:10.5167/uzh-54263

Cited by 2 publications

(1 citation statement)

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“…Thus, it may be beneficial to use daily aggregations over the longer monthly or even weekly time steps. Such challenges and biases associated with temporal selections are known as the modifiable temporal unit problem (Cheng and Adepeju 2014;C¸öltekin et al 2011), which can be addressed by a temporally agile framework such as the one proposed here.…”

Section: Why Another Index?mentioning

confidence: 99%

A Climate Extremes Resilience Index for the Conterminous United States

Narayanan,

Peter,

Keellings

2024

Weather, Climate, and Society

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In recent decades, changes in precipitation, temperature, and air circulation patterns have led to increases in the occurrences of extreme weather events. These events can have devastating effects on communities causing destruction to property and croplands, as well as negative impacts on public health. As changes in the climate are projected to continue throughout the remainder of the 21st century, the ability for a community to plan for extreme weather events is essential to its survival. In this paper, we introduce a new index for examining the potential impacts of climate extremes on community resilience throughout the Conterminous United States at the county level. We use an established disaster resilience index (Baseline Resilience Indicators for Communities) together with a revised version of the U.S. Climate Extremes Index to create a combined measure of climate resilience–the Climate Extremes Resilience Index (CERI). To demonstrate the index, we test it on the 2021 Pacific Northwest Heatwave, a 1000-year weather event made 150 times more likely due to climate change. Finally, to promote the use of the index, we also introduce a Google Earth Engine web app to calculate and map the CERI for the CONUS. By developing a web application for calculating the CERI, we expand the use of climate-resilience indices beyond theoretical applications. We anticipate that this tool and the CERI could be useful for policymakers to plan for climate related disasters, as well as help the public with understanding and visualizing the impacts of extreme climatic events.

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Section: Why Another Index?mentioning

confidence: 99%

A Climate Extremes Resilience Index for the Conterminous United States

Narayanan,

Peter,

Keellings

2024

Weather, Climate, and Society

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Geographic Modeling: Approaching Reality in Land Use Simulation Pragmatically

Eisl

Koch²

2015

giforum

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Geographic research necessitates different types of models that aim at reducing the complexity of reality, enabling us to analyze its representations. Models allow us to infer exploratory and confirmatory findings about causal links between different geographic conditions, different social, political, and economic actors, their behaviors, and land use and its dynamics. However, the spatial, temporal, and attributive nature of data complicates the appropriate model choice for specific research purposes. This conceptual paper keeps track of model construction in the context of land use and land use change. It reveals different issues where particular caution is required, such as spatial and temporal dependency and heterogeneity, scale-dependency, and bidirectional causality. With geographic research being increasingly under the influence of econometric methods, we contend that it is necessary to provide intermediary qualitative layers of evidence between conceptual and, especially, empirical and simulative models of land use and land use change to ensure robust findings about causal relationships between observed variables.Reflecting on these questions is crucial in order to deliver reliable and valid research answers. Our paper discusses the conceptualization of research models focusing on land use and land use change, and highlights the main challenges in light of an ever increasing focus on quantitative geodata.

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Modifiable temporal unit problem

Cited by 2 publications

References 10 publications

A Climate Extremes Resilience Index for the Conterminous United States

A Climate Extremes Resilience Index for the Conterminous United States

Geographic Modeling: Approaching Reality in Land Use Simulation Pragmatically

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