Skip to main content

computational geometry - Administrative Divisions bordering a geographic region (e.g. an ocean)


Update 3


I've worked out a solution that is bearable for a small number of subregions in the neighbour and added it as an answer. I'm going to make a post for optimisation help.





Update 2


For a second attempt I have tried a geometric computation approach using RegionIntersection and the GeoBoundingBox of the entities.


geoBorderingEntities2[region_, entities_List?VectorQ] :=
Module[{intersections, positions},
intersections =
With[{borderPoly = region["Polygon"] /. {GeoPosition :> Identity}},
ParallelMap[
RegionIntersection[
borderPoly,
Rectangle @@ (GeoBoundingBox[#] /. {GeoPosition :>

Identity})] &,
entities, 1]
];
positions =
Position[intersections, x_ /; ! (Head@x === EmptyRegion), {1},
Heads -> False];
Extract[entities, positions]]

This also takes some time to execute because of the complexity of the polygons that make up the geo-borders. I'm also not too keen on this approach as there are conditions where an entity's bounding box will intersect but it will not be on the boarder due to the shape of either entities.


bordering = geoBorderingEntities2[ny, adminDivs];

GeoGraphics[{
{EdgeForm[Black], Yellow, Sequence @@ (Polygon[#] & /@ adminDivs)},
{Red, ny["Polygon"]},
{EdgeForm[Black], Black,
Tooltip[Polygon[#], #["Name"]] & /@ bordering}},
GeoBackground -> None]

enter image description here


In any case, there are also some items that border that are not selected by this method. Still, it takes too long. I have another idea I'm considering.


Any other ideas out there?





Update 1


I have attempted this (very inefficiently) by trying to match the points of the polygon of the region to those of the subdivision regions with little success.


geoBorderingEntities[region_, entities_List?VectorQ] :=
Module[{pointMatches, positions},
pointMatches = ParallelMap[IntersectingQ[
Partition[
Flatten@(region["Polygon"] /. {GeoPosition :> Identity,
Polygon :> Identity, EntityValue :> Identity}), 2],
Partition[

Flatten@(#["Polygon"] /. {GeoPosition :> Identity,
Polygon :> Identity, EntityValue :> Identity}), 2]
] &, entities, 1];
positions = Position[pointMatches, True];
Extract[entities, positions]
]

The replacements are needed as the region functions to not play nice with geographic polygons yet (as at version 10.2). In any case this does not work well.


ny = AdministrativeDivisionData[{"NewYork", "UnitedStates"}];
pa = AdministrativeDivisionData[{"Pennsylvania", "UnitedStates"}];

adminDivs =
EntityValue[
Entity["AdministrativeDivision",
{EntityProperty["AdministrativeDivision", "ParentRegion"] -> pa}],
"Entities"];

From the counties for Pennsylvania only 2 result in a match with this method.


bordering = geoBorderingEntities[ny, adminDivs]
(* {Entity["AdministrativeDivision", {"PikeCounty", "Pennsylvania", "UnitedStates"}],
Entity["AdministrativeDivision", {"WayneCounty", "Pennsylvania", "UnitedStates"}]} *)


Clearly I should have more matches.


GeoGraphics[
{{EdgeForm[Black], Yellow, Sequence @@ (Polygon[#] & /@ adminDivs)},
{Red, ny["Polygon"]},
{EdgeForm[Black], Black, Polygon[#] & /@ bordering}},
GeoBackground -> None]

enter image description here


However, in hindsight, it was a stretch to think that points would be shared along bordering geo-entities. They should have lines that touch, though.



I am considering RegionUnion with the entity polygons but am still thinking how I would check that the union has formed a connected region. I might consider a Piecewise parametric equation of the polynomials and if there is a real solution to there intersection. Seems a bit of overkill, though.


Ideas?




Original Post


I would like to get the counties (e.g. second level administrative divisions) that border the Gulf of Mexico. OceanData has the "BorderingCountries" properties that gives the country list.


OceanData["GulfMexico"]["BorderingCountries"]

I'm not certain how to use OceanData and CountryData (or AdministrativeDivisionData) to get to the administrative divisions that border the ocean.


I'd appreciate a nudge in the correct direction. Ideally, I'm looking for (or to create) a method that will work in general for any ocean and counties (i.e. administration division 2) of any country. Also, any higher administrative division to lower neighbouring administrative divisions (e.g. all the Pennsylvania counties bordering New York state).


Ideas?




Answer



I have developed a solution that is bearable. It takes about one second to evaluate each neighbouring subregion in cases that I have tested that have about 60 subregions. This is still far too slow but is the best I have come up with to date.


geoBorderingEntities[region_, entities_List?VectorQ, 
geoPadding_?QuantityQ] :=
Module[{borderBox, borderPoly, boxIntersections, intersections,
positions, borderPoints},
borderBox =
Rectangle @@ (GeoBoundingBox[region,
geoPadding] /. {GeoPosition :> Identity});
borderPoly = region["Polygon"] /. {GeoPosition :> Identity};

boxIntersections =
ParallelMap[
RegionIntersection[
borderBox,
Rectangle @@ (GeoBoundingBox[#,
geoPadding] /. {GeoPosition :> Identity})] &,
entities, 1];
(* Faster to split them *)
intersections = ParallelMap[
Function[{index},

With[{boxToPoly =
Evaluate@
RegionIntersection[boxIntersections[[index]], borderPoly]},
If[Head[boxToPoly] === EmptyRegion,
boxToPoly,
RegionIntersection[
boxToPoly, (entities[[index]][
"Polygon"] /. {GeoPosition :> Identity})]
]
]

],
Range[Length@entities], {1}];
positions =
Position[intersections, x_ /; ! (Head@x === EmptyRegion), {1},
Heads -> False];
Extract[entities, positions]]

geoPadding is used to slightly inflate the GeoBoundingBox for neighbouring subregions border on vertical or horizontal line.


ny = AdministrativeDivisionData[{"NewYork", "UnitedStates"}];
pa = AdministrativeDivisionData[{"Pennsylvania", "UnitedStates"}];

adminDivsPa =
EntityValue[
Entity["AdministrativeDivision", {EntityProperty[
"AdministrativeDivision", "ParentRegion"] -> pa}], "Entities"];

borderingNyPa = geoBorderingEntities[ny, adminDivsPa, Quantity[1, "Kilometers"]];

GeoGraphics[{
{EdgeForm[Black], Yellow, Sequence @@ (Polygon[#] & /@ adminDivsPa)},
{Red, ny["Polygon"]},

{EdgeForm[Black], Black, Tooltip[Polygon[#], #["Name"]] & /@ borderingNyPa }},
GeoBackground -> None]

enter image description here


I think I will make a post asking for help to optimise it.




wv = AdministrativeDivisionData[{"WestVirginia", "UnitedStates"}];
oh = AdministrativeDivisionData[{"Ohio", "UnitedStates"}];
adminDivsOh =
EntityValue[

Entity["AdministrativeDivision", {EntityProperty[
"AdministrativeDivision", "ParentRegion"] -> oh}], "Entities"];

borderingWvOh =
geoBorderingEntities[wv, adminDivsOh, Quantity[1, "Kilometers"]];

GeoGraphics[{{EdgeForm[Black], Yellow,
Sequence @@ (Polygon[#] & /@ adminDivsOh)}, {Red,
wv["Polygon"]}, {EdgeForm[Black], Black,
Tooltip[Polygon[#], #["Name"]] & /@ borderingWvOh}},

GeoBackground -> None]

enter image description here


Comments

Popular posts from this blog

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....