This dissertation investigated if Geographic Information Systems (GIS)-based analysis can have a decisive influence upon the coordination of international humanitarian assistance. Utility was assessed through a series of case studies demonstrating the application of GIS-based analysis to facilitate coordination of recent or potential humanitarian interventions. Six major categories of analysis were investigated: (1) queries and measurement, (2) transformation, (3) optimization, (4) geostatistics, (5) geovisualization, and (6) hypothesis testing and simulation. The researcher adopted the sequential exploratory method (i.e. mixed method) approach, which involved qualitative and quantitative research phases designed to elicit the opinion of hu...
A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Informatio...
This study provides a framework and general guidelines for the development of an Incident Responsive...
The spatial and temporal distribution of global map data is highly unequal, with large areas of the ...
Every year natural and man-made disasters cause mass population displacement, loss of lives, and hum...
Every year natural and man-made disasters cause mass population displacement, loss of lives, and hum...
This study is an exploration of the recent integration of Geographic Information Systems (GIS) in hu...
Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely...
Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely...
In the fall of 1996, the Center for Geographic Information Science (GIS) at James Madison University...
When natural disasters such as earthquakes happen, there is a need for an efficient method to suppor...
Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely...
When natural disasters such as earthquakes happen, there is a need for an efficient method to suppor...
Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely...
Humanitarian crises require a quick and effective emergency response to answer the needs of vulnerab...
Missing Maps is a humanitarian mapping project that maps vulnerable places in the developing world. ...
A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Informatio...
This study provides a framework and general guidelines for the development of an Incident Responsive...
The spatial and temporal distribution of global map data is highly unequal, with large areas of the ...
Every year natural and man-made disasters cause mass population displacement, loss of lives, and hum...
Every year natural and man-made disasters cause mass population displacement, loss of lives, and hum...
This study is an exploration of the recent integration of Geographic Information Systems (GIS) in hu...
Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely...
Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely...
In the fall of 1996, the Center for Geographic Information Science (GIS) at James Madison University...
When natural disasters such as earthquakes happen, there is a need for an efficient method to suppor...
Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely...
When natural disasters such as earthquakes happen, there is a need for an efficient method to suppor...
Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely...
Humanitarian crises require a quick and effective emergency response to answer the needs of vulnerab...
Missing Maps is a humanitarian mapping project that maps vulnerable places in the developing world. ...
A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Informatio...
This study provides a framework and general guidelines for the development of an Incident Responsive...
The spatial and temporal distribution of global map data is highly unequal, with large areas of the ...