GWR analysis

I am looking for a freelancer to perform GWR analysis using R software on spatial point data. The objective of the analysis is to identify spatial patterns and conduct GWR analysis and code and write report of the findings. The ideal candidate should have experience in GWR analysis and proficiency in R software. They should also have a strong understanding of spatial statistics. The project requires working with spatial point data, so experience in handling and analyzing such data is important. I will have to do the following:

you need to see how many stations (sites) you have there: then you need to decide on one final dependent variable per each of the sites.
Ok, the easiest way will be to go for daily file – then just using dyplr group by and take the mean value per each site.

Then you should have a file with : site name, lat, long, and PM1- concentration. This is still your dependent variable with locations where the stations are.

You could create Voronoi polygons and use them as your spatial units for modelling. Otherwise you can keep the points and then just interpolate the values using IDW so you can have surfaces of parameter estimates
If you want to model pollution you need to add other variables that affect the level of pollution.
These can be: % of forested area = use landcover data and get the percentage of forested area in your Voronoi polygon, or use distance to forest, park etc. You can download these from OSM or just google landcover/landuse data nz
You probably need information about roads and their total distance per area (your Voronoi polygons)
And so on … you need to do a short literature review on what affects pollution and variables you can link as factors affecting pollution.

The file will be sent later. Thank you.