Adult Day Care Facility are namely designed for senior adults, and specifically those that have not been able to perform some or most of the daily tasks by themselves.  Unlike the traditional "Old Folks Home", these facilities offer service throughout the day, but does not provide spaces for overnight staying.  Similar to child care centre in some fashion, the adult day care centre is designed to provide services such as Arts and crafts, Meals and snacks, Transportation to and from facility, Shopping trips, Light exercises, Health education, to senior group that enjoy both individual and group activities.

The spatial analysis for the Private Adult Day Care uses the same methodology in the GIS context, but comparably more complex than that of the private residence suite for seniors due to the nature of the raw data.  Here, instead of looking for where the seniors are located and looking into the number of families with seniors, we go directly into the number of adults (generally non-Seniors) that are giving unpaid care to seniors.  First let's take a look at the total number of Adults that are over 15, as a prime to our following procedures.

It should be noted that the above map and its corresponding number include adults that provide zero (no) care to seniors.  Beside, this group of people occupy the majority of the population.  Due to this reason, the above map should be seen as a transition map that shouldn't be taken into account.  Let's move on to the next map.

This map here shows some relevance to our research, it represents the total number of adults giving less than 5 hours of unpaid Care to Seniors.  We can see interesting patterns, as the highs tend to gathered in the suburban area of Vancouver.  But it is still too early to make a conclusion, let's see what the next map has to say.

In this map we see some downward shifts in most of the regions that had high numbers in the previous map.  Let's look at the final group.

The pattern changes again as we move on to the final group - persons giving 10 or more hours of unpaid care to Seniors.  We see rather dramatic changes as we move onto each new hierarchy.  Regions that are low in some level of unpaid senior care is high at another category.  All of the above maps are still too complicated for us to come up with any sensible results.  Now we shall use the Idrisi OVERLAY function to combine (add) some of them together.

The population that does not give any unpaid senior care is not taken into calculation and will not be used in any OVERLAYing of maps.  The reason is obvious -  the presence of an adult day care centre is not immediately relevant to this group of population.  Now we shall make our final step to getting our grand total number by overlaying the OVERLAY map shown above, with the group of adults giving 10 or more hours of care to seniors.

This map shows that there is an agglomeration of adults giving unpaid care in one of the Census tract in the City of Coquitlam, there are also some further south in the City of Surrey.  It depends on how one wants to look at the problem.  If one were to establish an adult care facility based on the absolute number of adults giving unpaid care, this map would be a good indicator of where a facility should be located.  Nevertheless, this map does have its shortcoming.  While there is an absolute number in these areas, we have to still remember that the total number of adults giving unpaid care to senior is still a friction of the total sample population.  As a result, one might ask, "Is it necessary to locate one if the rest 95% of the people do not need such facility?"

The high number in this map may be caused by any and maybe all of the following three reasons:

1) Many of the adults in the area give unpaid care to seniors (e.g.: in a family where the senior parent live with his/her children)

2) The high number comes about because of the very large Census tract that is being examined;

3)  In the same manner, a specific Census tract is very densely populated that it contains adults from all kinds of ethnic and family background, thereby yielding this high number.

Simply by looking at the map, we do not know which of the reason(s) listed above is/are true.  Though from a GIS perspective, we could refine the data to make a more confident conclusion.  Let's look at the following map:

This map is very good in showing what we want, however, a large number Census tracts fall into the mid-range number and therefore carrying the sharp red colour.  This would distort us from viewing our data.  So let's switch for a different palette and see what would happen.

The results are much more visible when using the ndvi256 palette.  However, due to the similarity of the green palette, and that there are quite a few Census tract that fall onto the higher end of the analysis, it is still not apparent enough for us to know where the best location could be, for this particular map.  So let's make our final step onto a new palette.
 
 

Finally, it is done.  The bipolar256 palette does an excellent job in isolating the regions with high portion, much better than all other palettes due to its strong contrast between red and yellow at the high end of the spectrum.  The areas indicated in bright yellow are areas of Oakridge and Cambie neighbourhood in West side of Vancouver.