 Hello, in this video I am going to interpolate the temperatures from meteorological stations to a raster. At first we need to clean up some data. So I open the attribute table and toggle on the editing. And I see here some null values for the temperature which I need to remove before I do the interpolation. So with the control button pressed I selected those features and I used the bin to delete them. Next I need to convert the temperatures to degrees Celsius because they need to be divided by 10. I use the field calculator to create a new field that I call tc, it's a decimal number, I only need three positions and one decimal. Then from fields and values I add the temperature underscore t0.1 Celsius, I click on multiply and I type 0.1 and in the preview I can see that the result is what we want. When I click OK this is applied and the tc field now has the temperatures in degrees Celsius. Toggle off the editing and save the result. Note that the join is not saved in the layer but the derived data, the temperature Celsius is saved. To demonstrate this I am going to remove the table with the temperatures, the original one and open the attribute table again and here you see that now that field has been removed, the join is broken but the tc that we calculated remains and that's important. If we want to have kept all the fields we should have exported the file before removing the table. Now let's do the interpolation, go to raster analysis and then choose grid nearest neighbor which will result in so called decent polygons. It simply assigns each location to the temperature of its nearest meteorological station. So for the Z value I choose the temperature field and I choose an output file which is a raster so adjuctive in this case and I call it tdaynn from nearest neighbor. Let's run it. Here's the result, we can clearly see the decent polygons and I move the stations points on top. Let's now do the inverse distance weighing interpolation which uses an exponential, if I use the power of 2 here, exponential decay function for the weights with distance from the station. So here for the Z value I choose tc and I save it to tdayidw and then I run it. And here you see that the result is a smooth image. Let's do some styling, first for the points, I use a simple marker, make the field color black and change the size, add some labels, change it to single labels and here we have the names of the meteorological stations but it would be nice to also have the temperatures. So I go to the expression editor as we did before and we have the name field, I concatenate a new line and I concatenate from fields and values the temperature but we also need a unit so I concatenate this with a string which has a space because values and units need to be separated with a space and for degrees I use the character function and you can find character codes on the internet but for degrees it is 0176. So here you see in the preview the degree symbol, I concatenate this and now I need to see from Celsius. So remember in single quotes I can add text. Double quotes are fields, single quotes are strings. Here we see the result. Let's change the stations to title case because it was all in capitals and this looks much nicer and we use center, let's use a different font, Calibri, Bold and I add a white text buffer but actually that looks too prominent so let's change the opacity. Let's adjust the placement, choose around point and change it to 2 millimeters. Now let's do some styling of the interpolated rusters. They are both continuous rusters even the decent polygons so we choose single and pseudo color and I choose here the spectral ramp but the spectral ramp needs to be inverted in order to have red for warmer areas and blue for colder areas. Furthermore I can change the blending mode to multiply to see the open street map layer in the background for orientation. Now let's do that also for IDW, change it to single and pseudo color for continuous rusters, invert the spectral color ramp and for mode we try here quantile because it gives some nicer results and we also use multiply to blend it with the background of the street map. Never blend it with the nearest neighbor so when you show it or make a screenshot for an assignment always make sure that you have either IDW blended with open street map or nearest neighbor blended with open street map but not two interpolations blended with each other. So in this video you've learned how to interpolate point data to rusters using the decent method or the inverse distance weighing.