Sure, but getting the necessary data would be far from trivial.
How would you locate pools? Using areal photographs is an option, but you'd either have to do it manually which would be very time consuming or using image recognition which would be very error prone. Depending on where you live people might have to apply for a building permit to put in a pool on their property in which case the local municipality should have a database over which houses have pools, but there is no guarantee that it is up do date and getting a hold of that database is far from easy.
Connecting points to street addresses is also a bit hit and miss. Things like Google's geocoding API works OK for buildings, but is tends to be quite hit and miss for points outside of buildings. Generally it will give you the address of the closest building rather than the address the plot of land actually belongs to. So if you want to be correct you have to get a map with actual property lines and who owns what property.
So the ease of doing something like that is entirely dependent on what data you have access and how accurate you have to be. Basically the hard part of any GIS project is always data gathering/cleaing/pre-processing and never the actual analysis.
That's a very broad statement and not one I can agree with - some of the processes I've encountered have been very complex - in fact in certain situations the dynamics of a problem can be so complex that they defy conventional analysis. The field of Spatial Decision Support Systems arose in order to address these type of poorly structured spatial questions. Plenty of literature out there, not so trendy these days though.
I'll admit I was being slightly factious and open data is making everything much easier these days. But geospatial analysis is mostly just math with a bit of programming while data collection often involves trying to deal with county and state level employees operating with a very high power Someone Else's Problem field and then trying to explain that scanned photocopies of old maps is not quite what I was expecting when they said that they had all their maps 'digitized' :)
But I'm the sort of person that much prefers dealing with math to dealing with people.
How would you locate pools? Using areal photographs is an option, but you'd either have to do it manually which would be very time consuming or using image recognition which would be very error prone. Depending on where you live people might have to apply for a building permit to put in a pool on their property in which case the local municipality should have a database over which houses have pools, but there is no guarantee that it is up do date and getting a hold of that database is far from easy.
Connecting points to street addresses is also a bit hit and miss. Things like Google's geocoding API works OK for buildings, but is tends to be quite hit and miss for points outside of buildings. Generally it will give you the address of the closest building rather than the address the plot of land actually belongs to. So if you want to be correct you have to get a map with actual property lines and who owns what property.
So the ease of doing something like that is entirely dependent on what data you have access and how accurate you have to be. Basically the hard part of any GIS project is always data gathering/cleaing/pre-processing and never the actual analysis.