Is there a module in IDRISI that will calculate the distance from land pixels to a river network taking into account the flow of water? Like a distance operator based on the flow direction grid?
I think the flow length tool does this in arc?
Thanks.
Is there a module in IDRISI that will calculate the distance from land pixels to a river network taking into account the flow of water? Like a distance operator based on the flow direction grid?
I think the flow length tool does this in arc?
Thanks.
I suggest you take a look at the modules COST, VARCOST, FLOW, and RUNOFF. In comparison to ArcMap’s flow length tool, the COST module may be the most similar. You can find full descriptions of each of these modules' capabilities and their required inputs in the IDRISI Help System, found under the Help menu (Help > Contents).
Laura, Clark Labs Tech Support
what about calculating euclidean distance to rivers for example, but using shapefiles instead of images? Do the layers necessarily have to be pixels? I need this to run LCM and my drivers include distance to main rivers, main roads, etc. How can i calculate this?
Cheers,
Gabriela
The DISTANCE module in IDRISI calculates the euclidean distance from a given source feature to the edges of the image. The input for this module must be a raster image. If you have a shapefile of the source feature that you want to calculate distance from it can easily be converted to a raster image. Firstly you will need to import the shape file to IDRISI using the ShapeIdr module. Make sure that you specify the correct reference system and units for your image. This will create a vector file to be used in IDRISI. You will then need to create a blank raster file of the extent that you wish to use for your feature image using the INITIAL module. This extent can be copied from a raster that you already have. Once created, this blank raster will be filled using the RASTERVECTOR module. Now you have a raster layer of your feature, which can be used in the DISTANCE module to create a measure of euclidean distance from the feature.
Andrew, Clark Labs Tech Support