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AnyLogic: compensating for double overflow in GISRegion.area()

I'm trying to sort a collection of AnyLogic GISRegions by their geographical area. Said area is calculated using GISRegion.area(units), which is straightforward enough. The areas I'm using, however, are city-scale and the method returns a double. This appears to cause overflow problems:
I don't think I'm doing anything wrong with my code, so presumably this is an AnyLogic problem. For brevity, I've included a line that prints each region's area rather than the sorting steps:
// For each region of the Australian Capital Territory, print its area in km^2:
areas.forEach(next -> traceln(""+next.name+": " + next.gisRegion.area(SQ_KILOMETER)));
Has anyone encountered this issue? How did you get around it?
For non-AnyLogic users, I have all the lat-long points in each geoshape. How might I calculate the area using those points?

[Not really a full answer, but the ideas are too long for a comment.]
I assume you've raised an AnyLogic support request since it seems 100% a bug. Since this is just a basic 'calculate area' function, I can't see any way round it other than, as you suggest, calculating it in an alternative manner from the vertex lat/longs that you have, and can get via getPoints() on the GISRegion.
Since this is just an N-sided polygon, surely there must be standard Java libraries that could calculate that, though that's not allowing for the GIS projection (not sure what level of error that might introduce); you'd expect open GIS libraries to cope with the latter. Since a GISRegion has a createOMGraphicObject() method to create an OpenMap standard(?) format graphic, that could be useful if that's a standard format other libraries can work with.
There's code on glennon's answer to this GIS StackOverflow question that claims to perform the calculation (or you make be able to hook in to PostGIS as in fmark's answer).

In Android how to check if the point from GPS is fitting a given polyline?

I am having a polyline from the Google directions API. I want to make sure that I get rid of the erroneous GPS coordinate values that can come sometimes. For this, I am thinking of fitting each point which I get from the GPS with the present step polyline. Is there any mathematical or in built functions to do this?
The location coordinates which i get from the LocationListener(GPS) need not be always accurate. SOmetimes this can be inside a buidling near the road also. As i already have an accurate polyline from google API which connects two accurate points, i wanted to confirm that each point which get from the GPS is on or very close to this line.

For future reference as the question is quite old, check this
library, its a utility library made for different tasks for android and it has a function in PolyUtil class called isLocationOnPath which takes a LatLng point, a list of points of route and a threshold point for how close you want to check the point for.

Does the getFocusDistances() camera API function actually work for Nexus 5? or any other device?

I would like to determine the distance of an object from my Nexus 5 camera, preferably without using an object like a coin for scale. I figured the Camera.Parameters getFocusDistances function would work for this.
I attempted to do this via something like the following in my takePicture() jpeg callback:
Parameters params = camera.getParameters();
Float focusDistances[] = new float [3];
params.getFocusDistances( focusDistances );
I tried running this a few times with objects of different distances from the camera, though each time, focusDistances[FOCUS_DISTANCE_NEAR_INDEX], focusDistances[FOCUS_DISTANCE_OPTIMAL_INDEX], and focusDistances[FOCUS_DISTANCE_FAR_INDEX] all contained the value positive infinity.
It's possible I'm doing something wrong, in which case please let me know if there is a specific way I'm which this will work on the Nexus 5. However the android API specifically states you can call getParameters() (and then getFocusDistances()) at any time to get the latest focus distances and therefore I think this should work. One thing I haven't tried yet is doing the above in an on auto focus handler, however I don't see why this should matter.
I did some research to try and see what was going on, and I found several questions regarding this sort of behavior from getFocusDistances() and typically the answer, if there was one, was that the function is not supported by the android API and/or the hardware manufacturer. Now a lot of these discussions I found online were from several years ago, and dispite the questionable feelings it gives me about getFocusDistances, I've still seen this function suggested to be used for getting the focus distance so I figure it must work on SOME device for SOME android API version.
Does anybody know if getFocusDistances() works for any particular version of android on the Nexus 5? If not, does anybody know ANY device it does work on?
EDIT:
Since posting, I have tried obtaining the focus distances in the onAutoFocus handler, as well as trying a bit more extensively for objects atvarious distances. The results have been consistent - positive infinity is always returned for all 3 focus distances (NEAR, OPTIMAL, and FAR). I even tried this with a Nexus 7 and getFocusDistances always returns the constant values (0.95, 1.9, and infinity), so apparently getFocusDistances isn't implemented on that device either.
Therefore, I really have two questions:
Is there any way to get somewhat accurate focus distances using the android Camera API with the Nexus 5? I'm even wondering if there is custom android version where getFocusDistances is actually implemented, since otherwise I may attempt to do so myself depending on what I find when examining the API code.
Are there any android capable devices that are known to implement getFocusDistances in a somewhat accurate manner?

First of all, It's very difficult to measure the object distance from one single shot/view. You would find many research papers which tried to employ vision based techniques to judge the object distance. I can refer you one such paper. They tried to implement a positioning system that would solely work on mobile camera+sensors. You would probably realize how non-trivial it is to measure the object distance from one single camera view. They finally used a method called "structure from motion" vision technique to calculate the distance (From multiple photos taken from multiple angle).
Even traditional apps like SmartDistance and SmartMeasure needs to use geometric tricks to measure the distance. None of them could only rely on camera parameters. Sorry for the elongated introduction. I have done a project of this sort before and I am telling you all these based on my experience.
To answer your query, I haven't found any Android device yet which returns realistic values of focus distances. They are either returned as some constant values or sometimes 0 and infinity. I found someone reporting that it worked for Galaxy Nexus but only within 30cm object distance, it doesn't work for distances more than that. The bottom line is that you cannot rely on this function from camera API which is heavily dependent on the device drivers. And, phone camera's are not well-known for their lens/sensor qualities. It would be very very difficult for you to work on any optics based formula for mobile-phone cameras. I would suggest you to rather go for some sensor based geometric tricks.

Is there a way of obtaining the longitude and latitude of Wi-Fi access points for triangulation purposes

I'm trying to obtain the longitude and latitude positions of existing access points within an indoor environment using Java (Eclipse). I understand that these are needed to complete the triangulation method. I have spoken to the IT team and they're unable to provide me with these readings. However I'm wondering if there's another way to do this?

You will need to work with signal strength. You cannot determine lat. & long. with wifi. It appears that a few iPhone apps leverage triangulation of wifi.
But for outdoor triangulation , the default is GPS.
See this question - Wifi Triangulation
Specifically this answer

If you knew the locations of the access points to within the tolerances required for your application and had a good way to accurately measure the distance between the APs and you had a way to account for signal attenuation between your measurement device and the APs then you could do a little bit of math to solve for where you are.
Java certainly has the mathematical functions you'd need to calculate your location. However, there's a ton of other variables that you would need to account for while triangulating your position from just WiFi access points.

Wifi transmission range usually are in a radius, you have to discover available networks.
You cannot know the exact point where are you, but you can know the area where you are.
If you add the lat & long of the access point, and know the reach of each access point, you can play with sin, cos & tan to accieve the aproximate position.

Programmatically finding periodicity of a given function

I am working on a project in Android for my Signal Processing course. My aim is to find signal properties, such as periodicity, even/odd, causality etc, given a user-input function. Right now, I am stuck at trying to figure out how to programmatically calculate the periodicity of a given function. I know the basics behind periodicity: f(t+T) = f(t)
The only idea I have right now is to extensively calculate values for the function, and then check for repetition of values. I know the method is quite stupid, given the fact I don't know how many such values I need to calculate to determine if it is periodic or not.
I know this can be done easily in Matlab, but again very difficult to port Matlab to Java. Is there something I am missing? I have been searching a lot, but haven't found anything useful.
Thanks for any help, in advance!

If the function f is given as a symbolic expression, then the equation you stated can in some cases be solved symbolically. The amount of work required for this will depend on how your functions are described, what kinds of functions you allow, what libraries you use and so on.
If your only interaction with the function is evaluating it, i.e. if you treat the function description as a black box or obtain its values from some sensor, then your best bet would be a Fourier transformation of the data, to convert it from the time domain into frequency domain. In particularly, you probably want to choose your number of of samples to analyze as a power of two, and then use FFT to quickly obtain intensities for various frequencies.