I'm a professor of mathematics at the University of North Carolina Asheville. I've also done a fair amount of consulting work over the years focusing on scientific and data visualization.
I'm happy to be part of the first Observable Ambassador's cohort.
NC Congressional DistrictsTrivariate choropleth for racial composition in the USRacial distribution in NCWNC Zoom3D Choropleth for NC County PopulationsNC CountiesTriangulated NC CountiesAn X3D GlobeCanadian Elections 3DWNC SurroundElectoral Results TilegramThe new Electoral CollegeElectoral MapGPX rides with Leaflet and OSMOld encoded polyline rides with LeafletGPX rides with Maplibre and MaptilerBuncombe county votingThe NC Congressional redistricting battleHexapolis 538Zillow Home PricesSetting up HexapolisCOVID curvesThirty day Map Challenge - Day 1Simple grid cartogram2020 Census Apportionment TilegramMass shootings in the USHBCUsNC State Legislative Elections 2022Hierarchical Structure of the US RegionsIndigenous territories of the SoutheastD3.force to desired positionPopulation Choropleth for the Contiguous US StatesPlotting a few points on a mapMutliple bubble maps for CSV dataWorld population bubble mapReproductive rights and ... ??Gerrymandering Hexapolis by handVisualizations of gun ownership dataIncome inequality in North Carolina
Triangulated Canadian Provinces (separate)
svg = {
let svg_width = width;
let svg_height =
((bounds.ymax - bounds.ymin) / (bounds.xmax - bounds.xmin)) * svg_width;
let svg = d3
.create('svg')
.attr('width', svg_width)
.attr('height', svg_height);
let x_scale = d3
.scaleLinear()
.domain([bounds.xmin, bounds.xmax])
.range([0, svg_width]);
let y_scale = d3
.scaleLinear()
.domain([bounds.ymin, bounds.ymax])
.range([svg_height, 0]);
let pts_to_path = d3
.line()
.x(function(d) {
return x_scale(d[0]);
})
.y(function(d) {
return y_scale(d[1]);
});
svg
.selectAll('path.tri')
.data(all_triangles.flat(1))
.join("path")
.attr('class', 'tri')
.attr('d', function(d) {
return pts_to_path(d.pts) + 'Z';
})
.attr("stroke", "white")
.attr("stroke-width", .2)
.attr('fill', d => color(d.province_code));
svg
.selectAll('path.seg')
.data(all_segments)
.enter()
.append("path")
.attr('class', 'seg')
.attr('d', function(d) {
return pts_to_path(d);
})
.attr("stroke", "black")
.attr("stroke-width", 2)
.attr('fill', 'none');
return svg.node();
}
bounds = {
let xs = all_pts.map(xy => xy[0]);
let ys = all_pts.map(xy => xy[1]);
let xmin = d3.min(xs);
let xmax = d3.max(xs);
let ymin = d3.min(ys);
let ymax = d3.max(ys);
return { xmin: xmin, ymin: ymin, xmax: xmax, ymax: ymax };
}
triangulated_regions = FileAttachment('provinces_triangulated.json').json()
d3 = require('d3@5')
// all_triangles = triangulated_regions.map(o => Object.values(o.pts)).flat()
all_triangles = {
return triangulated_regions.map(function(region) {
let result = {};
let all_pts = region.pts;
let all_triangles = region.triangles;
for (let key in all_triangles) {
let pts = all_pts[key];
let triangles = all_triangles[key];
result[key] = triangles.map(t => t.map(v => pts[v]));
}
let array_result = [];
for (let key in result) {
array_result.push(result[key]);
}
array_result = array_result.flat(1);
let province_code = region.properties.PROVCODE;
return array_result.map(pts => ({
province_code,
pts
}));
});
}
all_pts = {
return triangulated_regions
.map(function(region) {
let result = {};
let all_pts = region.pts;
for (let key in all_pts) {
let pts = all_pts[key];
result[key] = pts;
}
let array_result = [];
for (let key in result) {
array_result.push(result[key]);
}
return array_result.flat(1);
})
.flat(1);
}
all_segments = {
return triangulated_regions
.map(function(region) {
let result = {};
let all_pts = region.pts;
let all_segments = region.segments;
for (let key in all_segments) {
let pts = all_pts[key];
let segments = all_segments[key];
result[key] = segments.map(t => t.map(v => pts[v]));
}
let array_result = [];
for (let key in result) {
array_result.push(result[key]);
}
return array_result.flat(1);
})
.flat(1);
}
function color(p) {
if (p == 'AB') {
return d3.schemeCategory10[0];
} else if (p == 'QC') {
return d3.schemeCategory10[5];
} else if (p == 'ON') {
return d3.schemeCategory10[2];
} else if (p == 'NS') {
return d3.schemeCategory10[3];
} else if (p == 'SK') {
return d3.schemeCategory10[4];
} else if (p == 'BC') {
return d3.schemeCategory10[5];
} else if (p == 'PE') {
return d3.schemeCategory10[6];
} else if (p == 'MB') {
return d3.schemeCategory10[7];
} else if (p == 'NL') {
return d3.schemeCategory10[8];
} else if (p == 'YT') {
return d3.schemeCategory10[9];
} else if (p == 'NT') {
return d3.schemeCategory10[2];
} else if (p == 'NU') {
return d3.schemeCategory10[1];
} else if (p == 'NB') {
return d3.schemeCategory10[0];
} else {
return 'black';
}
}
all_triangles
triangulated_regions.map(o =>
Object.values(o.pts).map(pp => ({
province_code: o.properties.PROVCODE,
pts: o.pts
}))
)
triangulated_regions
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