Need and R developer to create my arcgis model process, but the model needs to run quicker!
I have a model in arcgis 10.5 ModelBuilder to represent a process that I need to run for thousands of polygons and input raster combinations. The problem is that to this model, for one polygon, takes approximately 8min 57 seconds to complete. When I work out how many iterations I will need, that is around 24 days of running time! Way too long. The input raster sizes are approximately 0.008 decimal degrees cell size covering the entire globe.
The model schematic is attached.
1. For each country, calculated the total population (population raster)
2. weight average the PM_raster based on the polygons total populations (=(pm_raster * (Population_raster/total_pop))
3. Run zonal statistics to sum the weighted PM_weighted%n% and that is the average PM weighted on the countries population.
Can this be done quicker in R? How long do you estimate each iteration to take?
The output has to be something that I can run with a few guiding notes.
15 freelance ont fait une offre moyenne de 237 $ pour ce travail
Hello, what is the size of your dataset? is it possible to make a subset? what part of your model takes most of the time? maybe it is worth to try on R the most time-consuming part.
Hi I am a masters student in Data Science and I would love to work in your project. Please let me know more about your requirements and the data so that I can give you accurate results.