Steven Reader
Biographic Data
| ID | 3934066 |
|---|---|
| NAME | Steven Reader |
| GIVEN NAMES | Steven |
| FAMILY NAME | Reader |
| SIGNATURE | READER S |
| AFFILIATIONS | University of South Florida |
| ORCID | 0000-0002-4643-3210 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Predicting hurricane evacuation for local neighborhoods across a metropolitan region
Space-Time Hierarchical Clustering for Identifying Clusters in Spatiotemporal Point Data
Finding clusters of events is an important task in many spatial analyses. Both confirmatory and exploratory methods exist to accomplish this. Traditional statistical techniques are viewed as confirmatory, or observational, in that researchers are confirming an a priori hypothesis. These methods often fail when applied to newer types of data like moving object data and big data. Moving object data incorporates at least three parts: location, time,…
Characteristics related to family involvement in youth residential mental health treatment
Detecting and analyzing clusters of low-birth weight incidence using exploratory spatial data analysis
Using survival analysis to study spatial point patterns in geographical epidemiology
Using survival analysis to study spatial point patterns in geographical epidemiology
Detecting and analyzing clusters of low-birth weight incidence using exploratory spatial data analysis
Characteristics related to family involvement in youth residential mental health treatment
Space-Time Hierarchical Clustering for Identifying Clusters in Spatiotemporal Point Data
Finding clusters of events is an important task in many spatial analyses. Both confirmatory and exploratory methods exist to accomplish this. Traditional statistical techniques are viewed as confirmatory, or observational, in that researchers are confirming an a priori hypothesis. These methods often fail when applied to newer types of data like moving object data and big data. Moving object data incorporates at least three parts: location, time,…
Predicting hurricane evacuation for local neighborhoods across a metropolitan region
Cluster analysis (2 works) · Computer Science (2 works) · Data mining (2 works) · Data-Driven Disease Surveillance (2 works) · Demography (2 works) · Geography (2 works) · Mathematics (2 works) · A priori and a posteriori (1 work) · Artificial Intelligence (1 work) · Bivariate analysis (1 work)