Statistically-robust clustering techniques for mapping spatial hotspots: A survey
Mapping of spatial hotspots, ie, regions with significantly higher rates of generating cases of
certain events (eg, disease or crime cases), is an important task in diverse societal domains …
certain events (eg, disease or crime cases), is an important task in diverse societal domains …
Supply of bioelectricity from sugarcane bagasse in Brazil: a space–time analysis
LM Coelho Junior, EP Santos Júnior… - Sustainable …, 2024 - Springer
Bioelectricity generation from sugarcane is significant across Brazil and is related to regional
market structure characteristics where the mills are located. To understand the distribution …
market structure characteristics where the mills are located. To understand the distribution …
Accelerating the discovery of space-time patterns of infectious diseases using parallel computing
Infectious diseases have complex transmission cycles, and effective public health responses
require the ability to monitor outbreaks in a timely manner. Space-time statistics facilitate the …
require the ability to monitor outbreaks in a timely manner. Space-time statistics facilitate the …
Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters
Background Irregularly shaped spatial clusters are difficult to delineate. A cluster found by
an algorithm often spreads through large portions of the map, impacting its geographical …
an algorithm often spreads through large portions of the map, impacting its geographical …
Significant DBSCAN+: Statistically robust density-based clustering
Cluster detection is important and widely used in a variety of applications, including public
health, public safety, transportation, and so on. Given a collection of data points, we aim to …
health, public safety, transportation, and so on. Given a collection of data points, we aim to …
Detection of irregular-shaped clusters on a network by controlling the shape compactness with a penalty function
R Inoue, S Shiode, N Shiode - GeoJournal, 2023 - Springer
Recent development of cluster detection methods focuses on the improvement of efficiency
or accuracy, with the latter yielding a wide range of variants in the shape of the search …
or accuracy, with the latter yielding a wide range of variants in the shape of the search …
Internal cohesion and geometric shape of spatial clusters
The geographic delineation of irregularly shaped spatial clusters is an ill defined problem.
Whenever the spatial scan statistic is used, some kind of penalty correction needs to be …
Whenever the spatial scan statistic is used, some kind of penalty correction needs to be …
[HTML][HTML] Evidence of spatial clustering of childhood acute lymphoblastic leukemia cases in Greater Mexico City: report from the Mexican Inter-Institutional Group for the …
DA Duarte-Rodríguez, J Flores-Lujano… - Frontiers in …, 2024 - frontiersin.org
Background A heterogeneous geographic distribution of childhood acute lymphoblastic
leukemia (ALL) cases has been described, possibly, related to the presence of different …
leukemia (ALL) cases has been described, possibly, related to the presence of different …
Border analysis for spatial clusters
FLP Oliveira, ALF Cançado, G de Souza… - International journal of …, 2018 - Springer
Background The spatial scan statistic is widely used by public health professionals in the
detection of spatial clusters in inhomogeneous point process. The most popular version of …
detection of spatial clusters in inhomogeneous point process. The most popular version of …
Screening for collusion: a spatial statistics approach
We develop a method to screen for local cartels. We first test whether there is statistical
evidence of clustering of outlets that score high on some characteristic that is consistent with …
evidence of clustering of outlets that score high on some characteristic that is consistent with …