The term hotspot refers to a location or an area where the occurrence of a particular
phenomenon, event, or activity is significantly higher than in the surrounding areas. The …

Hot and cold spot identification is a spatial analysis technique used in various issues to
identify regions where a specific phenomenon is either strongly or poorly concentrated or …

Cluster-based hot spot detection is applied in many disciplines to analyze the locations,
concentrations, and evolution over time for a phenomenon occurring in an area of study. The …

Hotspot detection and the analysis for the hotspot's footprint recently gained more attention
due to the pandemic caused by the coronavirus. Different countries face the effect of the …

Spatial data mining discovers patterns and knowledge in spatial data. The geospatial data
analysis plays a decisive role in framing essential policies related to the environment at the …

Spatial polygon data represents the area of some events such as disease cases, crime,
health care facilities, earthquakes, and fires. Finding the hotspot is crucial in exploratory data …

Classification of remote sensing images faces several challenges due to mixed pixels. Such
pixels that are wrongly classified are called mixed pixels. There is uncertainty about the …

Human activity area extraction, a popular research topic, refers to mining meaningful
location clusters from raw activity data. However, varying densities of large-scale spatial …

Cluster techniques are used in hotspot spatial analysis to detect hotspots as areas on the
map; an extension of the Fuzzy C-means that the clustering algorithm has been applied to …

Geospatial applications have invaded most web-and IT-based services, adding value to
information-based solutions. But there are many challenges associated with the analysis of …