Automated Remote Sensing of Underground Features
Below ground mapping can now better utilize remotely sensed data to create more accurate maps.
Bayesian is a belief network that is a probabilistic graphical model that deals with reasoning under uncertainty (e.g. determining the probabilities of a disease based on the symptoms).
Below ground mapping can now better utilize remotely sensed data to create more accurate maps.
Bayesian belief networks (BBN) and GIS can be used as decision aides to give an idea of probability of events unfolding.
A method to measure uneven distribution of landscape or population features in a given space is stratified heterogeneity.
With the utility of R, many popular statistical procedures and more advanced analyses, including a variety of simulation applications, can be applied directly within GIS tools such as QGIS.
This article takes a look at methods which demonstrate the wide and growing field of crime prevention utilizing spatial and GIS approaches.