Raster analysis is the process of analyzing spatial information contained in grid datasets such as soils, land cover, elevation, and more.
Zonal Statistics uses groupings to calculate statistics (sum, mean, maximum, etc) for specified zones like countries, watersheds or parcels.
A mosaic combines multiple raster images to obtain a seamless raster. We show you how to mosaic raster datasets in ArcGIS and QGIS.
Learn how to georeference with precision in this georeferencing guide. Add control points in two images, select a transformation and check your RMSE.
Rasterization converts vectors into rasters. While vectorization transforms rasters in vectors. We explain how to go from one data model to the other.
The least cost path finds the most cost-effective path, from a start point to a destination, making it a useful tool for linear routing.
Flow direction calculates the direction water will flow in its eight adjacent cells using slope from neighboring cells (in a raster grid cell)
For raster resampling in GIS, you can use bilinear and cubic convolution for continuous data as well as nearest neighbor and majority for discrete data.
SAGA GIS has a quick and dirty tool to fill NoData holes with raster data. We show you how to close gaps in DEMs or any raster data with holes in it.
Map algebra is a cell-by-cell combination of stacked raster grids. It uses math-like functions with arithmetic, statistics and trigonometry operators.