Spatial analysis usage is primarily used to determine the feasibility of a location for certain systems or to make weather predictions for a specific geographic area. It allows users to model problems and find comprehensive solutions that have geographical attributes associated with them.
Spatial prediction approaches explicitly model the neighborhood relationship of locations to predict target variables from input features. Finally, spatial outlier detection methods find data that differ from their neighbors. Lastly, we describe future research and trends in spatial data mining.
This paper examines how narratives of history are organized spatially at historical sites and memorial spaces, especially in urban settings and in places invested with a sense of collective memory. Much recent research has focused on landscape, memory, and place Read More …