As Andrea suggests you could use a raster here, but I think the more
important question is why do you want to do this? Why not just do a point
in polygon check with the actual coordinates and the vectors if you are
interested in just wich points are in a country. Or are you just colouring
the map in by country? In which case the renderer can do the rasterization
for you much faster based on an SLD.
Ian
On 11 February 2016 at 22:26, Wilcox, Eric Scott <[email protected]> wrote:
> I’m currently creating a 2048x1024 image of the earth using the Natural
> Earth data set. I need to be able to look at every pixel from my map and
> determine whether or not it is inside a country or group of countries. The
> best way I’ve implemented this so far is by creating a bounding box around
> the country (or group of countries) and then iterating through each pixel
> inside that bounding box (to prevent iterating over the entire world map).
> I convert the pixels to coordinates then call the contains() method to
> determine if the coordinate is within the polygon for the country. This
> method works, but is very slow for some areas, especially if the bounding
> box gets large, which happens if you select many countries or with area’s
> that span the entire globe. There are several groupings that span half or
> most of the world. If I select larger groups or even select all countries
> the checks take an extremely long time to complete.
>
>
>
> Is there a suggested better (more efficient) way to do this kind of task
> with your tools I may have overlooked? I’m still learning the tools here
> and would very much appreciate any feedback or assistance you could give.
>
>
>
> Additionally the bounding box for a country like Fiji from the Natural
> Earth data spans the entire globe (-180 to 180 degrees). Is there an
> approved method of splitting the bounding boxes in that case to reduce the
> area I have to check?
>
>
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--
Ian Turton
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