Return to Answer

Spatial Join the data from 2015 to 2018 using match option HAVE_THEIR_CENTER_IN. This will join the attributes from 2015 to the attribute table of the 2018 feature class.

Then add a field and calculate using Field Calculator with some if/else statements to check for each house if the condition is better or worse. This field can be used to symbolize better/worse like in your screenshots.

If you also want to check if overall condition has improved, use Summary Statistics to Count number of better or worse.

Spatial Join the data from 2015 to 2018 using match option HAVE_THEIR_CENTER_IN. This will join the attributes from 2015 to the attribute table of the 2018 feature class.

Then add a field and calculate using Field Calculator with some if/else statements to check for each house if the condition is better or worse. This field can be used to symbolize better/worse like in your screenshots.

If you also want to check if overall condition has improved, use Summary Statistics to Count number of better or worse.

Another way would be: Enabling time on your data. But probably not worth the effort when you only have two "times", 2015 and 2018.

Spatial Join the data from 2015 to 2018 using match option HAVE_THEIR_CENTER_IN. You will then have both attribute tables as one.

Then add a field and calculate using Field Calculator with some if/else statements to check for each house if the condition is better or worse. This field can be used to symbolize better/worse like in your screenshots.

If you also want to check if overall condition has improved, use Summary Statistics to Count number of better or worse.

Spatial Join the data from 2015 to 2018 using match option HAVE_THEIR_CENTER_IN. This will join the attributes from 2015 to the attribute table of the 2018 feature class.

Then add a field and calculate using Field Calculator with some if/else statements to check for each house if the condition is better or worse. This field can be used to symbolize better/worse like in your screenshots.

If you also want to check if overall condition has improved, use Summary Statistics to Count number of better or worse.

Spatial Join the data from 2015 to 2018 using match option HAVE_THEIR_CENTER_IN. You will then have both attribute tables as one.

Then add a field and calculate using Field Calculator to check for each house if the condition is better/higher or worse/lower. This field can be used to symbolize better/worse like in your screenshots.

If you also want to check if overall condition has improved, use Summary Statistics to Count number of better or worse.

Spatial Join the data from 2015 to 2018 using match option HAVE_THEIR_CENTER_IN. You will then have both attribute tables as one.

Then add a field and calculate using Field Calculator with some if/else statements to check for each house if the condition is better or worse. This field can be used to symbolize better/worse like in your screenshots.

If you also want to check if overall condition has improved, use Summary Statistics to Count number of better or worse.