I am still a beginner to gis and I am trying to do a network analysis for finding optimum litter bins in an area. I already have data for existing litter bins however I need to create data for candidate litter bins which could be an option to place a litter bin in that area. With placing litter bins in that area, there is no restriction, so what could be a best way to locate candidate layer using network analysis?
determine the 'service area' for the existing bins based on some perception of what would be the optimal spacing of the bins (say every 200 -250 meters). Once you discover the areas delineated by the existing bins you will get some idea whether your guess is appropriate or needs modification. If the areas for the existing bins seem appropriately spaced, then the empty intervening space will give you some idea as to where new bins can be placed.
Always explore the existing data first...they are there for a reason...could be inter bin spacing...could be proximity to stores/restaurants/fast food locations or a variety of other reasons. Once you understand that, then you can proceed to placement. Think about it...there is no reason to place bins at finite distance increments along a road, when placing them at rest stops makes sense.
Next post from you...show your pattern, the visuals will help readers get other ideas.
So, the pattern is interesting, but there are more aspects that you have to identify in the landscape that can account for the existing pattern before you can go forward with addressing where they should be located. I can say for the most part, that there is very little to support the inter-bin spacing theory as controlling the existing pattern. There is more factors .... (doors, proximity to activities within the reddish things, etc etc)
Look more and report back...
I have tried to answer on points, hope this makes sense.
Is it possible to do a search for location for litter bins in every 5 minutes and create candidate layer out of this. And later do a location allocation with the data? (I also have created a population density data)
Yes on your last venture, it would be interesting to see that...now you just have to focus your ideas on ... 5 minutes from where?!? ... because that will have an impact. If you have known sources of expendables (ie cafeterias, vending machines near the doors of some of the buildings. You could start there, since I am assuming that some of the close-to-building clusters represent those. Also, picnic tables are an origin from which you could do travel from. Give it whirl and if you have population information it is obviously going to be the time to bring that into the picture.