Lawal Billa
Datos Biográficos
| ID | 7703879 |
|---|---|
| NOMBRE | Lawal Billa |
| NOMBRES | Lawal |
| APELLIDO | Billa |
| FIRMA | BILLA L |
| AFILIACIONES | Universiti Putra Malaysia |
| ORCID | 0000-0002-6894-5145 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2004 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2020 |
| ÍNDICE H | 0 |
Spatial analysis and GIS in the study of Covid-19. A review
This study entailed a review of 63 scientific articles on geospatial and spatial-statistical analysis of the geographical dimension of the 2019 coronavirus disease (COVID-19) pandemic. The diversity of themes identified in this paper can be grouped into the following categories of disease mapping: spatiotemporal analysis, health and social geography, environmental variables, data mining, and web-based mapping. Understanding the spatiotemporal dyn…
Comprehensive planning and the role of SDSS in flood disaster management in Malaysia
Purpose To present a comprehensive flood management plan for Malaysia, the various planning stages and the proponents of the plan. It is also to expound and highlight the importance of spatial information technology in the strategy and to outline the critical decision‐making at various levels of the plan. Design/methodology/approach A review of flood disaster management aimed at providing an insight into the strategies for a comprehensive flood d…
Spatial information technology in flood early warning systems
Malaysia experiences a major flood event every three years due to the adverse effects of two monsoon seasons a year. Floods have thus become the most significant natural disaster in the country in terms of the population affected, frequency, aerial extent, financial cost and the disruption to socio‐economic activities. Many previous flood control measures have had different levels of success but have generally had little effect in reducing the pr…
Spatial technology for natural risk management
This study integrates high spatial resolution remote sensor data with geographic information system (GIS) data and multi‐criteria analysis to develop a methodology to model disaster risk for flood risk management and in peat swamp forest fires in order to assist in providing decision support systems for emergency operations and disaster prevention. Landslides are the result of a wide variety of processes, including geological, geomorphological an…
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Spatial information technology in flood early warning systems
Malaysia experiences a major flood event every three years due to the adverse effects of two monsoon seasons a year. Floods have thus become the most significant natural disaster in the country in terms of the population affected, frequency, aerial extent, financial cost and the disruption to socio‐economic activities. Many previous flood control measures have had different levels of success but have generally had little effect in reducing the pr…
Spatial technology for natural risk management
This study integrates high spatial resolution remote sensor data with geographic information system (GIS) data and multi‐criteria analysis to develop a methodology to model disaster risk for flood risk management and in peat swamp forest fires in order to assist in providing decision support systems for emergency operations and disaster prevention. Landslides are the result of a wide variety of processes, including geological, geomorphological an…
Comprehensive planning and the role of SDSS in flood disaster management in Malaysia
Purpose To present a comprehensive flood management plan for Malaysia, the various planning stages and the proponents of the plan. It is also to expound and highlight the importance of spatial information technology in the strategy and to outline the critical decision‐making at various levels of the plan. Design/methodology/approach A review of flood disaster management aimed at providing an insight into the strategies for a comprehensive flood d…
Spatial analysis and GIS in the study of Covid-19. A review
This study entailed a review of 63 scientific articles on geospatial and spatial-statistical analysis of the geographical dimension of the 2019 coronavirus disease (COVID-19) pandemic. The diversity of themes identified in this paper can be grouped into the following categories of disease mapping: spatiotemporal analysis, health and social geography, environmental variables, data mining, and web-based mapping. Understanding the spatiotemporal dyn…
Computer Science (4 obras) · Geography (4 obras) · Cartography (3 obras) · Emergency management (3 obras) · Environmental planning (3 obras) · Environmental resource management (3 obras) · Flood myth (3 obras) · Flood Risk Assessment and Management (3 obras) · Geographic information system (3 obras) · Business (2 obras)