Matches in SemOpenAlex for { <https://semopenalex.org/work/W4298773297> ?p ?o ?g. }
Showing items 1 to 57 of
57
with 100 items per page.
- W4298773297 abstract "Many physical processes involve spatio-temporal observations, which can be studied at different spatial and temporal scales. For example, rainfall data measured daily by rain gauges can be considered at daily, monthly or annual temporal scales, and local, grid-wise, region-wise or country-wise spatial scales. In this work, we focus on detection of anomalies in such multi-scale spatio-temporal data. We consider an anomaly as an event where the measured values over a spatio-temporally extended region are significantly different from their long-term means. However we aim to avoid setting any thresholds on the measured values and spatio-temporal sizes, because not only are thresholds subjective but also the long-term mean values often vary spatially and temporally. For this purpose we use spatio-Temporal Markov Random Field, where latent states indicate anomaly type (positive anomaly, negative anomaly, no anomaly/normal). Spatio-temporal coherence is maintained through suitable edge potentials. The model is extended to multiple spatio-temporal scales to achieve our second goal: anomalies at any scale should be defined both on the data at that scale, and also on anomalies at other scales. This allows us to trace an anomaly at a coarse scale to finer scales. For example, whether rainfall in a particular year is anomalous over a region should depend not only on the total volume of rainfall over the entire region, but also on whether there were such anomalies at the grid-scale, and the monthly scale. We use this approach to study rainfall anomalies over India -extremely diverse with respect to rainfall- for the period 1901-2011, and show its benefits over existing approaches." @default.
- W4298773297 created "2022-10-02" @default.
- W4298773297 creator A5076156714 @default.
- W4298773297 date "2017-10-18" @default.
- W4298773297 modified "2023-09-23" @default.
- W4298773297 title "Identifying Coherent Anomalies in Multi-Scale Spatio-Temporal Data using Markov Random Fields" @default.
- W4298773297 doi "https://doi.org/10.48550/arxiv.1711.00395" @default.
- W4298773297 hasPublicationYear "2017" @default.
- W4298773297 type Work @default.
- W4298773297 citedByCount "0" @default.
- W4298773297 crossrefType "posted-content" @default.
- W4298773297 hasAuthorship W4298773297A5076156714 @default.
- W4298773297 hasBestOaLocation W42987732971 @default.
- W4298773297 hasConcept C121332964 @default.
- W4298773297 hasConcept C124101348 @default.
- W4298773297 hasConcept C127313418 @default.
- W4298773297 hasConcept C12997251 @default.
- W4298773297 hasConcept C158709400 @default.
- W4298773297 hasConcept C18903297 @default.
- W4298773297 hasConcept C205649164 @default.
- W4298773297 hasConcept C26873012 @default.
- W4298773297 hasConcept C2777489503 @default.
- W4298773297 hasConcept C2778755073 @default.
- W4298773297 hasConcept C41008148 @default.
- W4298773297 hasConcept C58640448 @default.
- W4298773297 hasConcept C739882 @default.
- W4298773297 hasConcept C86803240 @default.
- W4298773297 hasConceptScore W4298773297C121332964 @default.
- W4298773297 hasConceptScore W4298773297C124101348 @default.
- W4298773297 hasConceptScore W4298773297C127313418 @default.
- W4298773297 hasConceptScore W4298773297C12997251 @default.
- W4298773297 hasConceptScore W4298773297C158709400 @default.
- W4298773297 hasConceptScore W4298773297C18903297 @default.
- W4298773297 hasConceptScore W4298773297C205649164 @default.
- W4298773297 hasConceptScore W4298773297C26873012 @default.
- W4298773297 hasConceptScore W4298773297C2777489503 @default.
- W4298773297 hasConceptScore W4298773297C2778755073 @default.
- W4298773297 hasConceptScore W4298773297C41008148 @default.
- W4298773297 hasConceptScore W4298773297C58640448 @default.
- W4298773297 hasConceptScore W4298773297C739882 @default.
- W4298773297 hasConceptScore W4298773297C86803240 @default.
- W4298773297 hasLocation W42987732971 @default.
- W4298773297 hasOpenAccess W4298773297 @default.
- W4298773297 hasPrimaryLocation W42987732971 @default.
- W4298773297 hasRelatedWork W1587972913 @default.
- W4298773297 hasRelatedWork W1973676134 @default.
- W4298773297 hasRelatedWork W2097894331 @default.
- W4298773297 hasRelatedWork W2163821821 @default.
- W4298773297 hasRelatedWork W2378639333 @default.
- W4298773297 hasRelatedWork W2381768628 @default.
- W4298773297 hasRelatedWork W2723120560 @default.
- W4298773297 hasRelatedWork W3155791720 @default.
- W4298773297 hasRelatedWork W3164492486 @default.
- W4298773297 hasRelatedWork W4298773297 @default.
- W4298773297 isParatext "false" @default.
- W4298773297 isRetracted "false" @default.
- W4298773297 workType "article" @default.