Estimating values based on samples
Interpolation is the idea that, with a set of known values, you can estimate the values of additional points based on their proximity to these known values. This recipe shows you how to use known values at point locations to create a continuous surface (raster) of value estimates. Classic examples include weather data estimations that are based on weather station data (think temperature or rainfall maps), crop yield estimates that are based on sampling parts of a field, and like in this example in this recipe, elevation estimations that are based on the elevation of sampled points.
Getting ready
Activate Interpolation Plugin via Plugin Manager.
Load a point layer with numeric columns, representing the feature of interest. For this recipe, use the poi_names_wake.shp, and the elev_m column, which contains elevation in meters for each point.
How to do it…
Start by loading
poi_name_wake.Zoom to the layer extent.
Open the Interpolation tool by navigating to Raster...
