Understanding our world requires us to model and interpret the spatial relationships between human, social and physical geography. We live in a connected world of spatial and non-spatial relationships, and it is essential that we be conscious of these relationships, as this helps us to grasp the impact of our decisions on our daily lives.
Because we live in a world where human, social and physical geography is always changing, we need a way to dynamically understand our changing world. A change requires us to assess the effect that event has had on the geography. Many times, this involves simulating, predicting, preventing and even influencing positive change.
Spatial modeling tools are a prerequisite to dynamically modeling and understanding our changing earth. Spatial modeling is the process of using spatial operators on a variety of geospatial datasets (for example, imagery, terrain and features) to create an information product. This involves using a set of procedures that simulates real-world conditions within a geospatial application, using the spatial relationships of geographic features and their attributes. From these created models, you can perform spatial analysis to derive information from data, such as distributions or patterns, using the spatial context of the problem. Actionable decisions require real information – not just data – and spatial modeling is key in driving these decisions.