ArticlePloS one2014
Modifiable temporal unit problem (MTUP) and its effect on space-time cluster detection.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- A Bayesian maximum entropy model for predicting tsetse ecological distributions.International journal of health geographics · 2023Article
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- Methodological Challenges in Spatial and Contextual Exposome-Health Studies.Critical reviews in environmental science and technology · 2023Article
- Accelerating ethics, empathy, and equity in geographic information science.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Identifying a spatial scale for the analysis of residential burglary: An empirical framework based on point pattern analysis.PloS one · 2022Article
- COVID-19 Deaths in the United States: Shifts in Hot Spots over the Three Phases of the Pandemic and the Spatiotemporally Varying Impact of Pandemic Vulnerability.International journal of environmental research and public health · 2021Article
- The impact of the COVID-19 pandemic on people's mobility: A longitudinal study of the U.S. from March to September of 2020.Journal of transport geography · 2021Article
- Time to address the spatiotemporal uncertainties in COVID-19 research: Concerns and challenges.The Science of the total environment · 2021Article
- Modelling the Relationship between Rainfall and Mental Health Using Different Spatial and Temporal Units.International journal of environmental research and public health · 2021Article
- The impact of modelling choices on modelling outcomes: a spatio-temporal study of the association between COVID-19 spread and environmental conditions in Catalonia (Spain).Stochastic environmental research and risk assessment : research journal · 2021Article
- Methodological limitations in studies assessing the effects of environmental and socioeconomic variables on the spread of COVID-19: a systematic review.Environmental sciences Europe · 2021Review
- Article
- Effects of Data Aggregation on Time Series Analysis of Seasonal Infections.International journal of environmental research and public health · 2020Article
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- Public health in genetic spaces: a statistical framework to optimize cluster-based outbreak detection.Virus evolution · 2020Article
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Abstract
backgroundWhen analytical techniques are used to understand and analyse geographical events, adjustments to the datasets (e.g. aggregation, zoning, segmentation etc.) in both the spatial and temporal dimensions are often carried out for various reasons. The 'Modifiable Areal Unit Problem' (MAUP), which is a consequence of adjustments in the spatial dimension, has been widely researched. However, its temporal counterpart is generally ignored, especially in space-time analysis.
methodsIn analogy to MAUP, the Modifiable Temporal Unit Problem (MTUP) is defined as consisting of three temporal effects (aggregation, segmentation and boundary). The effects of MTUP on the detection of space-time clusters of crime datasets of Central London are examined using Space-Time Scan Statistics (STSS). RESULTS AND
conclusionThe case study reveals that MTUP has significant effects on the space-time clusters detected. The attributes of the clusters, i.e. temporal duration, spatial extent (size) and significance value (p-value), vary as the aggregation, segmentation and boundaries of the datasets change. Aggregation could be used to find the significant clusters much more quickly than at lower scales; segmentation could be used to understand the cyclic patterns of crime types. The consistencies of the clusters appearing at different temporal scales could help in identifying strong or 'true' clusters.
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