GIS and Spatial Analysis

GIS provides an analytic framework for combining images with other types of spatial data into analytic models. It's straightforward. GIS arranges data into geographic layers. In the meanwhile, ground imaging scenes and sensor data are available as layers. GIS also has dozens of analytic operations that may provide statistical data, simulate movement and flow across your surfaces, assist you in combining layers to discover the best and worst places for your activity, and much more.

Imagery provides flexible information feeds a veritable fire hose of data to your GIS. In turn, GIS offers a variety of spatial analysis operators that allow you to acquire a deeper knowledge of your data. These analytic tools allow you to answer practically any issue, such as determining the statistical signal from your data, evaluating a sequence of events across time, and forecasting and predicting them in the future.

The spatial analysis includes recognizing and inferring new data structures to help solve a wide range of problems, such as determining the appropriate places to build, analyzing your operational efficiency or where that new market may be hiding in plain sight, assessing and managing your farm productivity, or monitoring and warning diseases.