[R-sig-Geo] Pycnophylactic Interpolation

[chris english]

Breno,

Just an article comparing pycnophylatic interpolation to area-to-point
kriging
https://www.researchgate.net/publication/227727493_Reconstructing_Population_Density_Surfaces_from_Areal_Data_A_Comparison_of_Tobler's_Pycnophylactic_Interpolation_Method_and_Area-to-Point_Kriging
Chris

On Sun, Apr 23, 2017 at 4:35 PM, Breno Oliveira <Brenovic8 at hotmail.com>
wrote:

> Hi,
>
> I'm a student of Information Systems in Brazil and a junior software
> archtect. To my final work on the undergraduate program I'm implementing a
> software with the Potential model. After calculate the potential values to
> each point of analysis I would like to be able to create a map to represent
> the result. The map should looks like this one:
> https://www.r-bloggers.com/contour-and-density-layers-with-ggmap/. I'm
> new in R so I have no a big knowhow and a lot of doubts. I would like ask
> for community's help. My problem is that I have no to many points like the
> example so the map looks incorrect, actualy I have a few points (x,y and
> z). I think I must Interpolate these points to get a good result, I would
> like to use the Pycnophylactic Interpolation avaliable in pycno package.
>
> Here is a example of data I obtain (no interpolation applied):
>
>
> City    Area    Score   latitudes       longitudes      Potentials
> Belo Horizone   330,95  2513451 -19,91663263    -43,93337198    164874,1295
> Betim   346     412003  -19,96730327    -44,20119724    82629,32514
> Contagem        195,268 648766  -19,91615326    -44,08087722    140851,9626
> Sarzedo 61,892  25798   -20,06250329    -44,11504723    79307,30623
> Rio Acima       50      90      -20,08830329    -43,79104717    55226,91779
>
>
> Please let me know if you need any extra information.
> Thank you for your patience and cooperation.
> Breno Oliveira
>
>
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>
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