Raster Analysis

In terms of the structure type of the spatial data to be processed, GIS spatial analyses can be categorized into two modes: raster data analyses and vector data analyses. The raster data structure is simple and intuitive, and thus easy to process and operate on using computers. It is a basic data format commonly used in GIS. Raster-based spatial analyses are basics of GIS spatial analyses.

The raster analysis functions in the application program include: settings for raster analysis environment, surface analysis, statistic, converter, distance raster, interpolation, histogram, hydrology, grid value and so on.

Set the Raster Analysis Environment

Set the environment for the raster analysis uniformly, including the geographical range of result datasets, clip region and default output resolution.

Surface Analysis

Surface analysis is a method to obtain information or generated surface based on a surface model. Grid surface analyses include isoline extraction and isoregion extraction.

Statistcs

Raster statistics provides multiple methods to calculate the cell values of raster data.

Converter

The converter is used to implement the conversion between vector and raster data, and thin the raster.

Distance Raster

The distance raster is used to calculate the distance from a cell to the adjacent cell, including spatial and cost distance. The distance raster provided by application can calculate the distance, shortest path and least cost distance.

Interpolation

In real GIS applications, values at un-sampled points usually need to be predicted using values at sampled points. That can be realized by interpolation. Interpolation generates a continuous surface and the value at every point can be obtained from this surface.