Problem Worth Solving
As more data information systems integrate, store, edits, analyze, share, and display geographic information. GIS is a broad term that can refer to a number of different technologies, processes, and methods. It is attached to many operations and has many applications related to engineering, planning, management, transport/logistics, insurance, telecommunications, and business. For that reason, GIS and location intelligence applications can be the foundation for many location-enabled services that rely on analysis and visualization.
The primary purpose for the GRIN algorithm is to reduce the number of points in a regular grid (thinning), whilst retaining a specified fidelity for the shape / value of a representative surface. Reduction in the number of points has the potential to reduce data throughput and computational loads while retaining the original data values in preserved nodes. A secondary purpose is to reduce the size of data sets.
Unlike image compression techniques, this technology: (1) retains the functional ‘shape’ of the geophysical data according to a user specified metric while eliminating unnecessary data points, and (2) retains a subset of the original grid’s points with full precision and accuracy.