Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problems are often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled.
Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important n...
The way people normally view a GIS is 2-dimensional, a greatly limiting form. However, as developments occur within the field, researchers and practitioners are finding ways to make a GIS 3-dimensional, and in some instances even 4-dimensional. Being able to view a GIS in more than 2 dimensions greatly enhances its usability. This forward-looking text, looks at the ways in which 3- and 4-dimensional (multidimensional) GIS can be incorporated into the area in the future using a variety of programming techniques. The author of this unique book also discusses current examples and uses of...
The way people normally view a GIS is 2-dimensional, a greatly limiting form. However, as developments occur within the field, researchers and practit...
