Sophie Curtis-Ham
Biographic Data
| ID | 1942501 |
|---|---|
| NAME | Sophie Curtis-Ham |
| GIVEN NAMES | Sophie |
| FAMILY NAME | Curtis-Ham |
| SIGNATURE | CURTIS-HAM S |
| AFFILIATIONS | University of Waikato |
| ORCID | 0000-0001-8093-4804 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 15 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
The Importance of Importance Sampling: Exploring Methods of Sampling from Alternatives in Discrete Choice Models of Crime Location Choice
Gang Membership and Gang Crime in New Zealand: A National Study Identifying Spatial Risk Factors
In this exploratory study, we identify the spatial risk factors associated with gang membership and gang crime in New Zealand using social disorganization as a theoretical framework. Gang membership data from the Gang Intelligence Center and gang crime data from New Zealand Police are included in spatial regression models to identify risk factors. Overall marginal support was found for the use of social disorganization constructs to explain gang …
Considerations for Developing Predictive Spatial Models of Crime and New Methods for Measuring Their Accuracy
A literature review of the important trends in predictive crime modeling and the existing measures of accuracy was undertaken. It highlighted the need for a robust, comprehensive and independent evaluation and the need to include complementary measures for a more complete assessment. We develop a new measure called the penalized predictive accuracy index (PPAI), propose the use of the expected utility function to combine multiple measures and the…
A National Examination of the Spatial Extent and Similarity of Offenders’ Activity Spaces Using Police Data
It is well established that offenders’ routine activity locations (nodes) shape their crime locations, but research examining the geography of offenders’ routine activity spaces has to date largely been limited to a few core nodes such as homes and prior offense locations, and to small study areas. This paper explores the utility of police data to provide novel insights into the spatial extent of, and overlap between, individual offenders’ activi…
A global analysis of the impact of Covid-19 stay-at-home restrictions on crime
The stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings s…
A global analysis of the impact of Covid-19 stay-at-home restrictions on crime
The stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings s…
Considerations for Developing Predictive Spatial Models of Crime and New Methods for Measuring Their Accuracy
A literature review of the important trends in predictive crime modeling and the existing measures of accuracy was undertaken. It highlighted the need for a robust, comprehensive and independent evaluation and the need to include complementary measures for a more complete assessment. We develop a new measure called the penalized predictive accuracy index (PPAI), propose the use of the expected utility function to combine multiple measures and the…
A National Examination of the Spatial Extent and Similarity of Offenders’ Activity Spaces Using Police Data
It is well established that offenders’ routine activity locations (nodes) shape their crime locations, but research examining the geography of offenders’ routine activity spaces has to date largely been limited to a few core nodes such as homes and prior offense locations, and to small study areas. This paper explores the utility of police data to provide novel insights into the spatial extent of, and overlap between, individual offenders’ activi…
A global analysis of the impact of Covid-19 stay-at-home restrictions on crime
The stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings s…
The Importance of Importance Sampling: Exploring Methods of Sampling from Alternatives in Discrete Choice Models of Crime Location Choice
Gang Membership and Gang Crime in New Zealand: A National Study Identifying Spatial Risk Factors
In this exploratory study, we identify the spatial risk factors associated with gang membership and gang crime in New Zealand using social disorganization as a theoretical framework. Gang membership data from the Gang Intelligence Center and gang crime data from New Zealand Police are included in spatial regression models to identify risk factors. Overall marginal support was found for the use of social disorganization constructs to explain gang …
Crime Patterns and Interventions (5 works) · Computer Science (3 works) · Geography (3 works) · Criminology (2 works) · Environmental health (2 works) · Machine learning (2 works) · Mathematics (2 works) · Medicine (2 works) · Psychology (2 works) · Sociology (2 works)