Spatial analysis with GIS

Spatial analysis allows us to better understand spatial relationships and patterns, which in turn allows us to better understand our world. Because of this, we are able to map where things are, how they relate to one another, what it all means for the environment, and actions to take to reverse any adverse effects we may cause. We are also able to find optimum routes, select sites for a plethora of different building projects, advanced predictive modeling, and so much more.

We can use the predictive modeling aspect to see how a forest fire would spread based on vegetation, dryness of the particular region, and wind. Not only that, but we could use it to find the optimal location for a store to be built that would likely attract the most customers.

Spatial analysis with GIS is a rapidly changing field. GIS packages are getting increasing amounts of analytical tools, which includes standard built-in libraries as well as optional toolsets and add-ons.  Original software suppliers have provided these in many instances, however, third parties have been providing and developing these as well in increasing amounts. Many products offer SDKs (software development kits) that are compatible with specific programming languages, scripting capabilities, and the ability to develop custom analytical tools.

The website Geospatial Analysis (http://www.spatialanalysisonline.com/) and the associated book written by Michael J de Smith, Michael F Goodchild, and Paul A Longley are able to provide a fairly comprehensive guide on the subject matter. The massive increase in availability has created a new dimension to business and spatial intelligence to be able to make the geographic and social network data available to everyone. Geospatial intelligence, which is commonly referred to as GIS spatial analysis, has become a key element in security in the real world.