Predictive programming
Introduction
Remote predictive mapping is a geospatial predictive analysis tool. The analysis of a set of data is done through an analytical and predictive model executed by artificial intelligence that then geographically graphs the information through a GIS (Geographic Information System). The objective is to predict the places or locations where a geospatial phenomenon occurs. Predictive mapping is currently being used in the fields of epidemiology and pathology,[1] geology,[2] police work[3] and mining[4] among others.
Modeling
A predictive model in predictive mapping are mathematical expressions of the performance of an event with respect to its relationship with a number of variables. These models use statistical calculations to measure the future performance of these events[5] In predictive analysis the variables can be from one to multiple. Predictive mapping can use the characteristics of the region to be studied, aspects of the variables studied, the relationship between the latter two or the past performance of the event studied.[3].
Applications
Contenido
El mapeo predictivo ha sido aplicado en un número cada vez mayor de áreas. A continuación se encuentran algunos de los usos más conocidos para esta tecnología.
Epidemiology and pathology
Predictive mapping is used in the health area to predict the places with the highest probability of suffering health problems.[6] By obtaining environmental data such as humidity, temperature and radiation, areas with the highest risk of health problems can be found in a region.[7] In this way, effective preventive processes can be carried out on a large scale.[8].
Geology
In cases where the terrain is difficult to navigate, such as in northern Canada, predictive mapping is used to build a geological image of the entire region based on information obtained in sectors of the region.[9] Likewise, from June data obtained by GIS satellite sensors allow the study of soil properties in large regions. Thus, it is possible to study how changes in the land lead to changes in the landscape on a large scale.[2].