traditional leveraging statistical methods for analyzing today’s large volumes of spatial data have high computational burdens. to eliminate the deficiency, relatively modern data mining techniques have been recently applied in different spatial analysis tasks with the purpose of autonomous knowledge extraction from high-volume spatial data. fortunately, geospatial data is considered a proper s...

This paper presents our framework based on visual exploration of disaster areas (i.e. after an earthquake, a tsunami or an industrial accident). It is meant to help rescue teams to locate hotspots (i.e. half-buried person or broken and dangerous canalization) and to maintain an Internet connection for them. Indeed, our solution uses several small autonomous drones (or UAVs, Unmanned Aerial Vehi...

In this paper we examine the dissemination of reports about resources in mobile networks with hotspots, where hotspots, vehicles and sensors communicate with each other via short-range wireless transmission. Each disseminated report represents information about a spatial-temporal event, such as the availability of a parking slot at a particular time or the detection of an injured in an earthqua...

The goal of spatial data mining [SPH05] is to automate the extraction of interesting and useful patterns that are not explicitly represented in spatial datasets. Of particular interests to scientists are techniques capable of finding scientifically meaningful regions in spatial datasets as they have many immediate applications in medicine, geosciences, and environmental sciences, e.g., identifi...

No proven method is currently available for the reliable short time prediction of earthquakes (minutes to months). However, it is possible to make probabilistic hazard assessments for earthquake risk. These are primarily based on the association of small earthquakes with future large earthquakes. In this paper we discuss a new approach to earthquake forecasting. This approach is based on a patt...

Carbon sequestration in rangeland ecosystems has been identified as a suitable strategy to offset greenhouse gas emissions that information of carbon sequestration hotspots is a good tool to improve rangeland management. Objectives for this study were to assessment potential carbon sequestration in various rangeland types, to identify carbon sequestration hotspots and to study the effective fact...

The 1999 Chichi earthquake and Typhoon Morakot in 2009 caused two serious landslide events the Chishan river watershed southern Taiwan. In this study, certainty factor analysis was used to evaluate effectiveness of occurrence, spatiotemporal hotspot explain pattern distribution hotspots. Z-values from Getis–Ord formula were assess clustering strength evolution on different scales with sizes tim...

carbon sequestration in rangeland ecosystems has been identified as a suitable strategy to offset greenhouse gas emissions that information of carbon sequestration hotspots is a good tool to improve rangeland management. objectives for this study were to assessment potential carbon sequestration in various rangeland types, to identify carbon sequestration hotspots and to study the effective fact...