problem with Geoplot reading table from NUTS shp file

Hi,

trying to create a EU Choropleth map from NUTS.shp file.

It should display different colors in each region proportional to climatic data (stored in HDD_geoT.HDD )

Problem seems when geoplot is reading the shapes from HDD_geoT.Shape

my code:

EU_geoT = readgeotable('NUTS_RG_03M_2021_3035.shp'); 

% building HDD map on EU_geoT from common fields NUTS_ID and Region
HDD_geoT = outerjoin(EU_geoT, HDD_1721,"LeftKey","NUTS_ID","RightKey","Region");
HDD_geoT = rmmissing(HDD_geoT);
figure

%geoplot (with error!!)
geoplot(HDD_geoT, ColorVariable="HDD");

getting error (same on R2022b online):

geoplot(HDD_geoT, ColorVariable="HDD");

Error using map.graphics.chart.primitive.Polygon

Value must be numeric.

Error in map.graphics.internal.geotableplot (line 49)

h = objectConstructor('Parent', parent, 'SourceTable', tbl, 'ShapeVariable', 'Shape', pvpairs{:});

Error in geoplot (line 68)

obj = map.graphics.internal.geotableplot(gx, args);

Please help!

Alex

***************

here the substructure of the polygon shapes

HDD_geoT.Shape(1)

ans = 

  mappolyshape with properties:

              NumRegions: 1
                NumHoles: 0
                Geometry: "polygon"
    CoordinateSystemType: "planar"
            ProjectedCRS: [1×1 projcrs]

HDD_geoT.Shape(1,1).ProjectedCRS

            ans = 
            
            projcrs with properties:
            
            Name: "ETRS89-extended / LAEA Europe"
            GeographicCRS: [1×1 geocrs]
            ProjectionMethod: "Lambert Azimuthal Equal Area"
            LengthUnit: "meter"
            ProjectionParameters: [1×1 map.crs.ProjectionParameters]

Answer 1

[Yuvraj Singh]

Hi Alex,

I understand you are trying to use “ColorVariable” in “geoplot” to display different colours in each region proportional to climatic data but encounter an error.

“ColorVariable” expects its input to be a numeric type. But I notice that the data Type of column “HDD” is 1x1 cell double, it is not numeric.

I hope this helps you.

-Yuvraj

[AlexG]

Thank you, I solved the problem by using cell2mat().