Spatial Analysis

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Spatial analysis involves utilizing geographical information to create descriptive and informative outputs. These can be maps or other images and/or statistical data such as distances to other points, boundaries, roads or public services. The development world is rapidly expanding its capacity to access and analyze spatial data ranging from market clustering to satellite imagery to agricultural plot mapping in SurveyCTO, the ability to process this data is also improving quickly.

Interactive Spatial Analysis Tools

Historically, spatial analysis tools have been challenging to code in a reproducible way, due to proprietary software systems with little extensibility. ArcGIS is a prime example of this, as the default implementation can only be coded reproducibly using Python. The open-source equivalent QGIS has similar limitations. Both are useful for exploring spatial data

Reproducible Coding for Spatial Analysis

Cloud Computing for Spatial Analysis