M Gall
Biographic Data
| ID | 16398 |
|---|---|
| NAME | M Gall |
| GIVEN NAMES | M |
| FAMILY NAME | Gall |
| SIGNATURE | GALL M |
| AFFILIATIONS | University of South Carolina |
| ORCID | 0000-0002-9344-6727 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Knowing More About Losing More
Severe local storms are most frequently the cause of billion-dollar disasters across the United States. Understanding where storm-related hazards have historically caused the most damage and examining spatial damage trends in relation to shifts in physical hazards and climate is crucial for planning, mitigation, and decision-making. This study investigates spatial and temporal variations in direct property losses from four storm-related hazards—h…
Strategic hazard mitigation planning
A comparative assessment of household power failure coping strategies in three American cities
Climate vulnerability mapping
Maps synthesizing climate, biophysical and socioeconomic data have become part of the standard tool‐kit for communicating the risks of climate change to society. Vulnerability maps are used to direct attention to geographic areas where impacts on society are expected to be greatest and that may therefore require adaptation interventions. Under the Green Climate Fund and other bilateral climate adaptation funding mechanisms, donors are investing b…
When Do Losses Count?
Current global and national databases that monitor losses from natural hazards suffer from a number of limitations, which in turn lead to misinterpretation and fallacies concerning the “truthfulness” of hazard loss data. These biases often go undetected by end users and are generally a product of the type of information stored in loss databases and how they are constructed. This paper highlights some common shortcomings and root causes for data m…
The Long Road Home
(2006). The Long Road Home: Race, Class, and Recovery from Hurricane Katrina. Environment: Science and Policy for Sustainable Development: Vol. 48, No. 2, pp. 8-20.
Where to Go? Strategic Modelling of Access to Emergency Shelters in Mozambique
This paper, through spatial-analysis techniques, examines the accessibility of emergency shelters for vulnerable populations, and outlines the benefits of an extended and permanently established shelter network in central Mozambique. The raster-based modelling approach considers data on land cover, locations of accommodation centres in 2000, settlements and infrastructure. The shelter analysis is a two-step process determining access for vulnerab…
Where to Go? Strategic Modelling of Access to Emergency Shelters in Mozambique
This paper, through spatial-analysis techniques, examines the accessibility of emergency shelters for vulnerable populations, and outlines the benefits of an extended and permanently established shelter network in central Mozambique. The raster-based modelling approach considers data on land cover, locations of accommodation centres in 2000, settlements and infrastructure. The shelter analysis is a two-step process determining access for vulnerab…
A comparative assessment of household power failure coping strategies in three American cities
Where to Go? Strategic Modelling of Access to Emergency Shelters in Mozambique
This paper, through spatial-analysis techniques, examines the accessibility of emergency shelters for vulnerable populations, and outlines the benefits of an extended and permanently established shelter network in central Mozambique. The raster-based modelling approach considers data on land cover, locations of accommodation centres in 2000, settlements and infrastructure. The shelter analysis is a two-step process determining access for vulnerab…
The Long Road Home
(2006). The Long Road Home: Race, Class, and Recovery from Hurricane Katrina. Environment: Science and Policy for Sustainable Development: Vol. 48, No. 2, pp. 8-20.
When Do Losses Count?
Current global and national databases that monitor losses from natural hazards suffer from a number of limitations, which in turn lead to misinterpretation and fallacies concerning the “truthfulness” of hazard loss data. These biases often go undetected by end users and are generally a product of the type of information stored in loss databases and how they are constructed. This paper highlights some common shortcomings and root causes for data m…
Climate vulnerability mapping
Maps synthesizing climate, biophysical and socioeconomic data have become part of the standard tool‐kit for communicating the risks of climate change to society. Vulnerability maps are used to direct attention to geographic areas where impacts on society are expected to be greatest and that may therefore require adaptation interventions. Under the Green Climate Fund and other bilateral climate adaptation funding mechanisms, donors are investing b…
Strategic hazard mitigation planning
A comparative assessment of household power failure coping strategies in three American cities
Knowing More About Losing More
Severe local storms are most frequently the cause of billion-dollar disasters across the United States. Understanding where storm-related hazards have historically caused the most damage and examining spatial damage trends in relation to shifts in physical hazards and climate is crucial for planning, mitigation, and decision-making. This study investigates spatial and temporal variations in direct property losses from four storm-related hazards—h…
Disaster Management and Resilience (5 works) · Geography (4 works) · Engineering (3 works) · Meteorology (3 works) · Business (2 works) · Computer Science (2 works) · Environmental planning (2 works) · Environmental Science (2 works) · Flood Risk Assessment and Management (2 works) · Hazard (2 works)