├── .gitattributes
├── .idea
    ├── copyright
    │   └── profiles_settings.xml
    ├── inspectionProfiles
    │   ├── Project_Default.xml
    │   └── profiles_settings.xml
    ├── jsLibraryMappings.xml
    ├── misc.xml
    ├── modules.xml
    ├── tutorial-geojson.iml
    ├── vcs.xml
    └── workspace.xml
├── LICENSE
├── README.md
├── data-csv
    ├── API_SP.POP.TOTL_DS2_en_csv_v2_63973.csv
    ├── cities15000.csv
    ├── mortes_acidentes_transito_2016.csv
    ├── mortes_acidentes_transito_2016_estados.csv
    ├── municipios.csv
    ├── populacao_2016_estados.csv
    └── populacao_2016_municipios.csv
├── data-geojson
    ├── estados_br.geojson
    ├── example.geojson
    ├── municipios_br.geojson
    ├── ne_110m_admin_0_countries.json
    └── world.geojson
├── example-accidents
    ├── choropleth-1.html
    ├── choropleth-2.html
    └── graduated-dots.html
├── example-population
    ├── populacao_brasil_choropleth.html
    └── populacao_cities_dot_dist.html
├── tools
    └── filter-map.js
└── tutorial
    ├── map-1.html
    ├── map-10.html
    ├── map-11.html
    ├── map-12.html
    ├── map-13.html
    ├── map-14.html
    ├── map-15.html
    ├── map-16.html
    ├── map-17.html
    ├── map-18.html
    ├── map-19.html
    ├── map-2.html
    ├── map-3.html
    ├── map-4.html
    ├── map-5.html
    ├── map-6.html
    ├── map-6a.html
    ├── map-7.html
    ├── map-8.html
    └── map-9.html


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1 | # Auto detect text files and perform LF normalization
2 | * text=auto
3 | 


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1 | <component name="CopyrightManager">
2 |   <settings default="" />
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1 | <?xml version="1.0" encoding="UTF-8"?>
2 | <project version="4">
3 |   <component name="JavaScriptLibraryMappings">
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5 |   </component>
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1 | <project version="4">
2 |   <component name="JavaScriptSettings">
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4 |   </component>
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1 | <?xml version="1.0" encoding="UTF-8"?>
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1 | <?xml version="1.0" encoding="UTF-8"?>
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1 | <?xml version="1.0" encoding="UTF-8"?>
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631 | </project>


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2019 helderdarocha
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # GeoJSON tutorial
 2 | 
 3 | * [Link to the presentation](https://tiny.cc/hksrgz)
 4 | * Link to the article (Observable notebook)
 5 | 
 6 | ## Step-by-step tutorial (demos in [CodePen Collection](https://codepen.io/collection/nZEaBN))
 7 | * [D3 Map 1: load GeoJSON](https://codepen.io/helderdarocha/pen/poojXVd)
 8 | * [D3 Map 2: list GeoJSON properties](https://codepen.io/helderdarocha/pen/oNNjrMr)
 9 | * [D3 Map 3: list GeoJSON coords](https://codepen.io/helderdarocha/pen/MWWaMNB)
10 | * [D3 Map 4: show positions with CSS ](https://codepen.io/helderdarocha/pen/BaaoXod)
11 | * [D3 Map 5: D3 bindings](https://codepen.io/helderdarocha/pen/bGGVXWv)
12 | * [D3 Map 6: SVG example](https://codepen.io/helderdarocha/pen/RwwrwRz)
13 | * [D3 Map 7: SVG binding with D3](https://codepen.io/helderdarocha/pen/KKKVKNW)
14 | * [D3 Map 8: SVG path](https://codepen.io/helderdarocha/pen/QWWyWpd)
15 | * [D3 Map 9: D3 geo path generator](https://codepen.io/helderdarocha/pen/Rwwrwgb)
16 | * [D3 Map 10: General Update Pattern](https://codepen.io/helderdarocha/pen/qBBbENE)
17 | * [D3 Map 11: Map projection](https://codepen.io/helderdarocha/pen/ExxPaZq)
18 | * [D3 Map 12: Using another projection](https://codepen.io/helderdarocha/pen/qBBbEjO)
19 | * [D3 Map 13: Loading thematic data](https://codepen.io/helderdarocha/pen/BaajywJ)
20 | * [D3 Map 14: Using geoArea](https://codepen.io/helderdarocha/pen/YzzwPeN)
21 | * [D3 Map 15: Applying projection to individual coordinates](https://codepen.io/helderdarocha/pen/QWWywrZ)
22 | * [D3 Map 16: Dot distribution](https://codepen.io/helderdarocha/pen/jOOWEpX)
23 | * [D3 Map 17: Bubble chart](https://codepen.io/helderdarocha/pen/qBBbEga)
24 | * [D3 Map 18: Color scale](https://codepen.io/helderdarocha/pen/ZEEQYPz)
25 | * [D3 Map 19: Events and fonts](https://codepen.io/helderdarocha/pen/abbdzxN)
26 | 


--------------------------------------------------------------------------------
/data-csv/mortes_acidentes_transito_2016_estados.csv:
--------------------------------------------------------------------------------
 1 | cod_ibge,uf,obitos
 2 | 11,Rondônia,480
 3 | 12,Acre,129
 4 | 13,Amazonas,465
 5 | 14,Roraima,110
 6 | 15,Pará,1719
 7 | 16,Amapá,97
 8 | 17,Tocantins,595
 9 | 21,Maranhão,1685
10 | 22,Piauí,1115
11 | 23,Ceará,2084
12 | 24,Rio Grande do Norte,605
13 | 25,Paraíba,1014
14 | 26,Pernambuco,1927
15 | 27,Alagoas,735
16 | 28,Sergipe,469
17 | 29,Bahia,2507
18 | 31,Minas Gerais,3705
19 | 32,Espírito Santo,846
20 | 33,Rio de Janeiro,2285
21 | 35,São Paulo,5650
22 | 41,Paraná,2772
23 | 42,Santa Catarina,1524
24 | 43,Rio Grande do Sul,1778
25 | 50,Mato Grosso do Sul,649
26 | 51,Mato Grosso,1098
27 | 52,Goiás,1757
28 | 53,Distrito Federal,465
29 | 0,Total,38265


--------------------------------------------------------------------------------
/data-csv/populacao_2016_estados.csv:
--------------------------------------------------------------------------------
 1 | cod_ibge,uf,populacao
 2 | 11,Rondônia,1787279
 3 | 12,Acre,816687
 4 | 13,Amazonas,4001667
 5 | 14,Roraima,514229
 6 | 15,Pará,8272724
 7 | 16,Amapá,782295
 8 | 17,Tocantins,1532902
 9 | 21,Maranhão,6954036
10 | 22,Piauí,3212180
11 | 23,Ceará,8963663
12 | 24,Rio Grande do Norte,3474998
13 | 25,Paraíba,3999415
14 | 26,Pernambuco,9410336
15 | 27,Alagoas,3358963
16 | 28,Sergipe,2265779
17 | 29,Bahia,15276566
18 | 31,Minas Gerais,20997560
19 | 32,Espírito Santo,3973697
20 | 33,Rio de Janeiro,16635996
21 | 35,São Paulo,44749699
22 | 41,Paraná,11242720
23 | 42,Santa Catarina,6910553
24 | 43,Rio Grande do Sul,11286500
25 | 50,Mato Grosso do Sul,2682386
26 | 51,Mato Grosso,3305531
27 | 52,Goiás,6695855
28 | 53,Distrito Federal,2977216


--------------------------------------------------------------------------------
/data-csv/populacao_2016_municipios.csv:
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
/data-geojson/example.geojson:
--------------------------------------------------------------------------------
  1 | {
  2 |   "type": "FeatureCollection",
  3 |   "features": [
  4 |     {
  5 |       "type": "Feature",
  6 |       "properties": {
  7 |         "name": "Fiji"
  8 |       },
  9 |       "id": "FJI",
 10 |       "geometry": {
 11 |         "type": "MultiPolygon",
 12 |         "coordinates": [
 13 |           [
 14 |             [
 15 |               [180,-16.067132663642447],
 16 |               [180,-16.555216566639196],
 17 |               [179.36414266196414,-16.801354076946883],
 18 |               [178.72505936299711,-17.01204167436804],
 19 |               [178.59683859511713,-16.639150000000004],
 20 |               [179.0966093629971,-16.433984277547403],
 21 |               [179.4135093629971,-16.379054277547404],
 22 |               [180,-16.067132663642447]
 23 |             ]
 24 |           ],
 25 |           [
 26 |             [
 27 |               [178.12557,-17.50481],
 28 |               [178.3736,-17.33992],
 29 |               [178.71806,-17.62846],
 30 |               [178.55271,-18.15059],
 31 |               [177.93266000000003,-18.28799],
 32 |               [177.38146,-18.16432],
 33 |               [177.28504,-17.72465],
 34 |               [177.67087,-17.381140000000002],
 35 |               [178.12557,-17.50481]
 36 |             ]
 37 |           ],
 38 |           [
 39 |             [
 40 |               [-179.79332010904864,-16.020882256741224],
 41 |               [-179.9173693847653,-16.501783135649397],
 42 |               [-180,-16.555216566639196],
 43 |               [-180,-16.067132663642447],
 44 |               [-179.79332010904864,-16.020882256741224]
 45 |             ]
 46 |           ]
 47 |         ]
 48 |       }
 49 |     },
 50 |     {
 51 |       "type": "Feature",
 52 |       "properties": {
 53 |         "name": "Tanzania"
 54 |       },
 55 |       "id": "TZA",
 56 |       "geometry": {
 57 |         "type": "Polygon",
 58 |         "coordinates": [
 59 |           [
 60 |             [33.90371119710453,-0.9500000000000001],
 61 |             [34.07261999999997,-1.0598199999999451],
 62 |             [37.69868999999994,-3.0969899999999484],
 63 |             [37.7669,-3.6771200000000004],
 64 |             [39.20222,-4.67677],
 65 |             [38.74053999999995,-5.9089499999999475],
 66 |             [38.79977000000008,-6.475660000000005],
 67 |             [39.44,-6.839999999999861],
 68 |             [39.47000000000014,-7.099999999999966],
 69 |             [39.19468999999998,-7.703899999999976],
 70 |             [39.25203000000005,-8.00780999999995],
 71 |             [39.18652000000009,-8.48550999999992],
 72 |             [39.53574000000009,-9.112369999999885],
 73 |             [39.94960000000003,-10.098400000000026],
 74 |             [40.316586229110854,-10.317097752817492],
 75 |             [40.31659000000002,-10.317099999999868],
 76 |             [39.52099999999996,-10.89688000000001],
 77 |             [38.42755659358775,-11.285202325081656],
 78 |             [37.827639999999974,-11.26878999999991],
 79 |             [37.471289999999954,-11.568759999999997],
 80 |             [36.775150994622805,-11.594537448780805],
 81 |             [36.51408165868426,-11.720938002166735],
 82 |             [35.31239790216904,-11.439146416879147],
 83 |             [34.55998904799935,-11.520020033415925],
 84 |             [34.27999999999997,-10.160000000000025],
 85 |             [33.940837724096525,-9.693673841980285],
 86 |             [33.73972000000009,-9.417149999999992],
 87 |             [32.75937544122132,-9.23059905358906],
 88 |             [32.19186486179194,-8.930358981973257],
 89 |             [31.556348097466497,-8.762048841998642],
 90 |             [31.15775133695005,-8.594578747317366],
 91 |             [30.740009731422095,-8.34000593035372],
 92 |             [30.74001549655179,-8.340007419470915],
 93 |             [30.199996779101696,-7.079980970898163],
 94 |             [29.620032179490014,-6.520015150583426],
 95 |             [29.419992710088167,-5.939998874539434],
 96 |             [29.519986606572928,-5.419978936386315],
 97 |             [29.339997592900346,-4.4999834122940925],
 98 |             [29.753512404099865,-4.452389418153302],
 99 |             [30.11632000000003,-4.090120000000013],
100 |             [30.505539999999996,-3.5685799999999404],
101 |             [30.752240000000086,-3.3593099999999936],
102 |             [30.743010000000027,-3.034309999999948],
103 |             [30.527660000000026,-2.807619999999986],
104 |             [30.469673645761223,-2.41385475710134],
105 |             [30.469670000000008,-2.4138299999999617],
106 |             [30.75830895358311,-2.2872502579883687],
107 |             [30.816134881317712,-1.6989140763453887],
108 |             [30.419104852019245,-1.1346591121504161],
109 |             [30.769860000000108,-1.0145499999999856],
110 |             [31.866170000000068,-1.0273599999999306],
111 |             [33.90371119710453,-0.9500000000000001]
112 |           ]
113 |         ]
114 |       }
115 |     }
116 |   ]
117 | }


--------------------------------------------------------------------------------
/example-accidents/choropleth-1.html:
--------------------------------------------------------------------------------
  1 | <!DOCTYPE html>
  2 | <html lang="en">
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <title>Mortes no trânsito por habitante por município</title>
  6 |     <style>
  7 |         .country {
  8 |             fill: white;
  9 |             stroke: white;
 10 |             stroke-width: .05;
 11 |         }
 12 |     </style>
 13 | </head>
 14 | <body>
 15 | <script type="module">
 16 |     import * as d3 from "https://cdn.skypack.dev/d3@7";
 17 | 
 18 |     const width = 960;
 19 |     const height = 500;
 20 | 
 21 |     const state_shapes_geojson_file = '../data-geojson/estados_br.geojson';
 22 |     const city_shapes_geojson_file  = '../data-geojson/municipios_br.geojson';
 23 | 
 24 |     const coordinates_per_city_csv_file  = '../data-csv/municipios.csv';
 25 |     const population_per_city_csv_file   = '../data-csv/populacao_2016_municipios.csv';
 26 |     const population_per_state_csv_file  = '../data-csv/populacao_2016_estados.csv';
 27 |     const accidents_per_city_csv_file    = '../data-csv/mortes_acidentes_transito_2016.csv';
 28 |     const accidents_per_state_csv_file   = '../data-csv/mortes_acidentes_transito_2016_estados.csv';
 29 | 
 30 |     const svg = d3.select("body")
 31 |                   .append("svg")
 32 |                   .attr("width", width)
 33 |                   .attr("height", height);
 34 | 
 35 |     // choose a projection
 36 |     const projection = d3.geoMercator();
 37 | 
 38 |     // create a path generator function for the projection
 39 |     const geoPath = d3.geoPath()
 40 |                       .projection(projection)
 41 | 
 42 |     const colorScale = d3.scaleSqrt(["hsla(240,100%,50%,.1)", "red"]);
 43 | 
 44 |     const map = {};
 45 | 
 46 |     Promise.all([
 47 |         d3.json(city_shapes_geojson_file),
 48 |         d3.csv(accidents_per_city_csv_file, function(row) {
 49 |             return {
 50 |                 cod_ibge: +row.cod_ibge.substring(0,6),
 51 |                 deaths: +row.obitos
 52 |             }
 53 |         }),
 54 |         d3.csv(population_per_city_csv_file, function(row) {
 55 |             return {
 56 |                 cod_ibge: +row.cod_ibge.substring(0,6),
 57 |                 population: +row.populacao
 58 |             }
 59 |         })
 60 |     ]).then(function([shapes, thematic1, thematic2]) {
 61 |         console.log(shapes);   // shape data
 62 |         console.log(thematic1); // death data
 63 |         console.log(thematic2); // population data
 64 | 
 65 |         // save in a global context
 66 |         map.features   = shapes.features;
 67 | 
 68 |         // add data to properties
 69 |         map.features.forEach(function(d) {
 70 |             const entry1 = thematic1.filter(t => t.cod_ibge == d.properties.id.substring(0,6))[0];
 71 |             const entry2 = thematic2.filter(t => t.cod_ibge == d.properties.id.substring(0,6))[0];
 72 |             if(entry1 && entry2) {
 73 |                 d.properties.deaths = entry1.deaths;
 74 |                 d.properties.population = entry2.population;
 75 |                 d.properties.deathsPerHab = entry1.deaths / entry2.population;
 76 |             } else {
 77 |                 d.properties.deaths = 0;
 78 |                 d.properties.population = 0;
 79 |                 d.properties.deathsPerHab = 0;
 80 |             }
 81 |         })
 82 | 
 83 |         projection.fitSize([width, height], shapes);
 84 | 
 85 |         // configure the scale
 86 |         colorScale.domain([0, d3.max(map.features, d => d.properties.deathsPerHab)])
 87 |         draw();
 88 |     });
 89 | 
 90 |     function draw() {
 91 |         svg.selectAll("path.country")
 92 |            .data(map.features)
 93 |               .join("path")
 94 |                 .attr("class","country")
 95 |                 .attr('d', geoPath)
 96 |                 .style("fill", d => colorScale(d.properties.deathsPerHab))
 97 |     }
 98 | </script>
 99 | 
100 | </body>
101 | </html>


--------------------------------------------------------------------------------
/example-accidents/choropleth-2.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Mortes no trânsito por habitante por estado</title>
 6 |     <style>
 7 |         .country {
 8 |             fill: gray;
 9 |             stroke: gray;
10 |             stroke-width: .5;
11 |         }
12 |     </style>
13 | </head>
14 | <body>
15 | <script type="module">
16 |     import * as d3 from "https://cdn.skypack.dev/d3@7";
17 | 
18 |     const width = 960;
19 |     const height = 500;
20 | 
21 |     const state_shapes_geojson_file = '../data-geojson/estados_br.geojson';
22 |     const city_shapes_geojson_file  = '../data-geojson/municipios_br.geojson';
23 | 
24 |     const coordinates_per_city_csv_file  = '../data-csv/municipios.csv';
25 |     const population_per_city_csv_file   = '../data-csv/populacao_2016_municipios.csv';
26 |     const population_per_state_csv_file  = '../data-csv/populacao_2016_estados.csv';
27 |     const accidents_per_city_csv_file    = '../data-csv/mortes_acidentes_transito_2016.csv';
28 |     const accidents_per_state_csv_file   = '../data-csv/mortes_acidentes_transito_2016_estados.csv';
29 | 
30 |     const svg = d3.select("body")
31 |                   .append("svg")
32 |                   .attr("width", width)
33 |                   .attr("height", height);
34 | 
35 |     // choose a projection
36 |     const projection = d3.geoMercator();
37 | 
38 |     // create a path generator function for the projection
39 |     const geoPath = d3.geoPath()
40 |                       .projection(projection);
41 | 
42 |     const colorScale = d3.scaleSqrt(["hsla(240,100%,50%,.1)", "red"]);
43 | 
44 |     const map = {};
45 | 
46 |     Promise.all([
47 |         d3.json(state_shapes_geojson_file),
48 |         d3.csv(accidents_per_state_csv_file, function(row) {
49 |             return {
50 |                 cod_ibge: +row.cod_ibge,
51 |                 deaths: +row.obitos
52 |             }
53 |         }),
54 |         d3.csv(population_per_state_csv_file, function(row) {
55 |             return {
56 |                 cod_ibge: +row.cod_ibge,
57 |                 population: +row.populacao
58 |             }
59 |         })
60 |     ]).then(function([shapes, thematic1, thematic2]) {
61 |         console.log(shapes);   // shape data
62 |         console.log(thematic1); // death data
63 |         console.log(thematic2); // population data
64 | 
65 |         // save in a global context
66 |         map.features   = shapes.features;
67 | 
68 |         // add data to properties
69 |         map.features.forEach(function(d) {
70 |             const entry1 = thematic1.filter(t => t.cod_ibge == d.properties.codigo_ibg)[0];
71 |             const entry2   = thematic2.filter(t => t.cod_ibge == d.properties.codigo_ibg)[0];
72 |             if(entry1 && entry2) {
73 |                 d.properties.deaths = entry1.deaths;
74 |                 d.properties.population = entry2.population;
75 |                 d.properties.deathsPerHab = entry1.deaths / entry2.population;
76 |             }
77 |         })
78 | 
79 |         projection.fitSize([width, height], shapes);
80 | 
81 |         // configure the scale
82 |         colorScale.domain(d3.extent(map.features, d => d.properties.deathsPerHab))
83 |         draw();
84 |     });
85 | 
86 |     function draw() {
87 |         svg.selectAll("path.country")
88 |            .data(map.features)
89 |              .join("path")
90 |                 .attr("class","country")
91 |                 .attr('d', geoPath)
92 |                 .style("fill", d => colorScale(d.properties.deathsPerHab))
93 |     }
94 | </script>
95 | 
96 | </body>
97 | </html>


--------------------------------------------------------------------------------
/example-accidents/graduated-dots.html:
--------------------------------------------------------------------------------
  1 | <!DOCTYPE html>
  2 | <html lang="en">
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <title>Mortes por município por habitante</title>
  6 |     <style>
  7 |         .country {
  8 |             fill: #fff;
  9 |             stroke: black;
 10 |             stroke-width: .25;
 11 |         }
 12 |         .city {
 13 |             fill: red;
 14 |             fill-opacity: .5;
 15 |             stroke: black
 16 |         }
 17 |     </style>
 18 | </head>
 19 | <body>
 20 | <script type="module">
 21 |     import * as d3 from "https://cdn.skypack.dev/d3@7";
 22 | 
 23 |     const width = 960;
 24 |     const height = 500;
 25 | 
 26 |     const state_shapes_geojson_file = '../data-geojson/estados_br.geojson';
 27 |     const city_shapes_geojson_file  = '../data-geojson/municipios_br.geojson';
 28 | 
 29 |     const coordinates_per_city_csv_file  = '../data-csv/municipios.csv';
 30 |     const population_per_city_csv_file   = '../data-csv/populacao_2016_municipios.csv';
 31 |     const population_per_state_csv_file  = '../data-csv/populacao_2016_estados.csv';
 32 |     const accidents_per_city_csv_file    = '../data-csv/mortes_acidentes_transito_2016.csv';
 33 |     const accidents_per_state_csv_file   = '../data-csv/mortes_acidentes_transito_2016_estados.csv';
 34 | 
 35 |     const svg = d3.select("body")
 36 |                   .append("svg")
 37 |                   .attr("width", width)
 38 |                   .attr("height", height);
 39 | 
 40 |     // choose a projection
 41 |     const projection = d3.geoMercator();
 42 | 
 43 |     // create a path generator function for the projection
 44 |     const geoPath = d3.geoPath()
 45 |                       .projection(projection)
 46 | 
 47 |     const map = {};
 48 | 
 49 |     const colorScale = d3.scaleLinear(["hsla(240,100%,50%,.5)", "red"]);
 50 |     const areaScale = d3.scaleLinear().range([0,15]);
 51 | 
 52 |     // Load 4 files & filter using row functions to extract just the desired fields
 53 |     Promise.all([
 54 |         d3.json(state_shapes_geojson_file),
 55 |         d3.csv(accidents_per_city_csv_file, function(row) {
 56 |             return {
 57 |                 cod_ibge: +row.cod_ibge,
 58 |                 deaths: +row.obitos
 59 |             }
 60 |         }),
 61 |         d3.csv(coordinates_per_city_csv_file, function(row) {
 62 |             return {
 63 |                 cod_ibge: +row.codigo_ibge.substring(0,6),
 64 |                 coords: [+row.longitude, +row.latitude]
 65 |             }
 66 |         }),
 67 |         d3.csv(population_per_city_csv_file, function(row) {
 68 |             return {
 69 |                 cod_ibge: +row.cod_ibge.substring(0,6),
 70 |                 population: +row.populacao
 71 |             }
 72 |         })
 73 |     ]).then(function([shapes, deaths, places, population]) {
 74 |         console.log(shapes);   // shape data
 75 |         console.log(deaths); // thematic data
 76 |         console.log(places); // location data
 77 |         console.log(population); // population
 78 | 
 79 |         // save in a global context
 80 |         map.features   = shapes.features;
 81 |         map.places     = places;
 82 | 
 83 |         // add data to properties
 84 |         places.forEach(function(p) {
 85 |             const entry1 = deaths.filter(t => t.cod_ibge == p.cod_ibge)[0];
 86 |             const entry2 = population.filter(t => t.cod_ibge == p.cod_ibge)[0];
 87 |             if(entry1 && entry2) {
 88 |                 p.deaths = entry1.deaths;
 89 |                 p.population = entry2.population;
 90 |                 p.deathsPerHab = entry1.deaths / entry2.population;
 91 |             } else {
 92 |                 p.deaths = 0;
 93 |                 p.population = 0;
 94 |                 p.deathsPerHab = 0;
 95 |             }
 96 |         })
 97 | 
 98 |         projection.fitSize([width, height], shapes);
 99 | 
100 |         // configure the scale
101 |         colorScale.domain([0, d3.max(map.places, d => d.deathsPerHab)]);
102 |         areaScale.domain([0, d3.max(map.places, d => d.deathsPerHab)])
103 |         draw();
104 |     });
105 | 
106 |     function draw() {
107 |         svg.selectAll("path.country")
108 |            .data(map.features)
109 |               .join("path")
110 |                 .attr("class","country")
111 |                 .attr('d', geoPath);
112 | 
113 |         svg.selectAll("circle.city")
114 |            .data(map.places)
115 |               .join("circle")
116 |                 .attr("class", "city")
117 |                 .attr("r", d => areaScale(d.deathsPerHab))
118 |                 .attr("transform", d => `translate(${projection(d.coords)})`)
119 |                 .style("fill-opacity", d => areaScale(d.deathsPerHab) <= 1 ? 1 : .5)
120 |                 .style("stroke-width", d => areaScale(d.deathsPerHab) > 1 ? .25 : 0)
121 |                 .style("fill", d => colorScale(d.deathsPerHab));
122 | 
123 |     }
124 | </script>
125 | 
126 | </body>
127 | </html>


--------------------------------------------------------------------------------
/example-population/populacao_brasil_choropleth.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Title</title>
 6 |     <style>
 7 |         .country {
 8 |             fill: white;
 9 |             stroke: white;
10 |             stroke-width: .05;
11 |         }
12 |     </style>
13 | </head>
14 | <body>
15 | 
16 | <script type="module">
17 |     import * as d3 from "https://cdn.skypack.dev/d3@7";
18 |     const width = 960, height = 500;
19 | 
20 |     const svg = d3.select("body")
21 |                   .append("svg")
22 |                   .attr("width", width)
23 |                   .attr("height", height);
24 | 
25 |     // choose a projection
26 |     const projection = d3.geoMercator();
27 | 
28 |     // create a path generator function for the projection
29 |     const geoPath = d3.geoPath()
30 |                       .projection(projection)
31 | 
32 |     const colorScale = d3.scaleSqrt(["white", "red"]);
33 | 
34 |     const map = {};
35 | 
36 |     Promise.all([
37 |         d3.json('../geo/municipios_br.geojson'),
38 |         d3.csv('../csv/populacao_2016_municipios.csv', function(row) {
39 |             return {
40 |                 cod_ibge: +row.cod_ibge.substring(0,6),
41 |                 population: +row.populacao
42 |             }
43 |         })
44 |     ]).then(function([shapes, themes]) {
45 |         console.log(shapes);   // shape data
46 |         console.log(themes);    // population data
47 | 
48 |         // save features in a global context
49 |         map.features   = shapes.features;
50 | 
51 |         // add data to GeoJSON properties object
52 |         map.features.forEach(function(d) {
53 |             const entry   = themes.filter(t => t.cod_ibge == d.properties.id.substring(0,6))[0];
54 |             d.properties.population = entry ? entry.population ? entry.population : 0 : 0;
55 |         });
56 | 
57 |         projection.fitSize([width, height], shapes);
58 | 
59 |         // configure the scale
60 |         colorScale.domain([0, d3.max(map.features, d => d.properties.population)]);
61 | 
62 |         console.log(map.features)
63 | 
64 |         draw();
65 |     });
66 | 
67 |     function draw() {
68 |         svg.selectAll("path.municipio")
69 |                 .data(map.features)
70 |                 .join("path").attr("class","municipio")
71 |                 .attr('d', geoPath)
72 |                 .style("fill", d => colorScale(d.properties.population));
73 |     }
74 | </script>
75 | 
76 | </body>
77 | </html>


--------------------------------------------------------------------------------
/example-population/populacao_cities_dot_dist.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Title</title>
 6 |     <style>
 7 |         .country {
 8 |             fill: white;
 9 |             stroke: white;
10 |             stroke-width: .05;
11 |         }
12 |     </style>
13 | </head>
14 | <body>
15 | 
16 | <script type="module">
17 |     import * as d3 from "https://cdn.skypack.dev/d3@7";
18 | 
19 |     const width = 960, height = 500;
20 | 
21 |     const svg = d3.select("body")
22 |                   .append("svg")
23 |                   .attr("width", width)
24 |                   .attr("height", height);
25 | 
26 |     // choose a projection
27 |     const projection = d3.geoMercator();
28 | 
29 |     // create a path generator function for the projection
30 |     const geoPath = d3.geoPath()
31 |                       .projection(projection)
32 | 
33 |     const colorScale = d3.scaleSqrt(["white", "red"]);
34 |     const areaScale = d3.scaleSqrt().range([0,15]);
35 | 
36 |     const map = {};
37 | 
38 |     Promise.all([
39 |         d3.json('../geo/municipios_br.geojson'),
40 |         d3.csv('../csv/municipios.csv', function(row) {
41 |             return {
42 |                 cod_ibge: +row.codigo_ibge.substring(0,6),
43 |                 coords: [+row.longitude, +row.latitude]
44 |             }
45 |         }),
46 |         d3.csv('../csv/populacao_2016_municipios.csv', function(row) {
47 |             return {
48 |                 cod_ibge: +row.cod_ibge.substring(0,6),
49 |                 population: +row.populacao
50 |             }
51 |         })
52 |     ]).then(function([shapes, places, themes]) {
53 |         console.log(shapes);  // shape data
54 |         console.log(themes);  // population data
55 |         console.log(places);  // city coordinates
56 | 
57 |         // save features in a global context
58 |         map.features   = shapes.features;
59 |         map.places     = places;
60 | 
61 |         // add more data to places object
62 |         places.forEach(function(p) {
63 |             const entry   = themes.filter(t => t.cod_ibge == p.cod_ibge)[0];
64 |             p.population = entry ? entry.population ? entry.population : 0 : 0;
65 |         });
66 | 
67 |         projection.fitSize([width, height], shapes);
68 | 
69 |         // configure the scales
70 |         colorScale.domain([0, d3.max(map.places, d => d.population)]);
71 |         areaScale.domain(colorScale.domain());
72 | 
73 |         draw();
74 |     });
75 | 
76 |     function draw() {
77 |         svg.selectAll("path.municipio")
78 |                 .data(map.features)
79 |                 .join("path").attr("class","municipio")
80 |                 .attr('d', geoPath);
81 | 
82 |         svg.selectAll("circle.city")
83 |                 .data(map.places)
84 |                 .join("circle").attr("class", "city")
85 |                 .attr("r", d => areaScale(d.population))
86 |                 .attr("transform", d => `translate(${projection(d.coords)})`)
87 |                 .style("fill-opacity", d => areaScale(d.population) <= 1 ? 1 : .7)
88 |                 .style("stroke-width", d => areaScale(d.population) > 1 ? .25 : 0)
89 |                 .style("fill", d => colorScale(d.population));
90 |     }
91 | </script>
92 | 
93 | </body>
94 | </html>


--------------------------------------------------------------------------------
/tools/filter-map.js:
--------------------------------------------------------------------------------
 1 | const fs = require('fs');
 2 | const source = "../geo/ne_110m_admin_0_countries.json";
 3 | const target = "../geo/world.geojson";
 4 | 
 5 | fs.readFile(source, 'utf8', (err, json) => {
 6 |     if(err) throw err; 
 7 |     else process(JSON.parse(json));
 8 | });
 9 | 
10 | function process(data) { // filter id (iso-a3) and name of country
11 |     data.features.forEach(function(d) {
12 |         d.id = d.properties.ISO_A3;
13 |         const name = d.properties.NAME;
14 |         d.properties = {name: name};
15 |     });
16 |     writeFile(JSON.stringify(data));
17 | }
18 | 
19 | function writeFile(data) {
20 |     fs.writeFile(target, data, (err) => {
21 |         if(err) throw err;
22 |         console.log('Done')
23 |     });
24 | }


--------------------------------------------------------------------------------
/tutorial/map-1.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 1: loading the JSON file</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 | </head>
 8 | <body>
 9 | <h1>See results in JavaScript console</h1>
10 | 
11 | <script>
12 | 
13 |     const shapeFile_geojson = '../data-geojson/world.geojson';
14 | 
15 |     d3.json(shapeFile_geojson)
16 |       .then(function(data) {
17 |           console.log(data.features);   // features array
18 |     });
19 | 
20 | </script>
21 | 
22 | </body>
23 | </html>


--------------------------------------------------------------------------------
/tutorial/map-10.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 9: Using D3 geo tools to generate an SVG path string from geo coordinates: all countries</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <style>
 8 |         path {
 9 |             stroke: black;
10 |             stroke-width: .05;
11 |             fill: lightgray;
12 |         }
13 |     </style>
14 | </head>
15 | <body>
16 | <svg height="500" width="960"></svg>
17 | 
18 | <script>
19 |     const svg = d3.select("svg");
20 | 
21 |     const shapeFile_geojson = '../data-geojson/world.geojson';
22 | 
23 |     const transform = d3.zoomTransform(svg.node)
24 |                         .scale(2)
25 |                         .translate(180,90);
26 | 
27 |     const geoPath = d3.geoPath();
28 | 
29 |     const map = {};
30 | 
31 |     d3.json(shapeFile_geojson)
32 |     .then(function(data) {
33 |         map.features   = data.features;
34 |         draw();
35 |     });
36 | 
37 |     function draw() {
38 | 
39 |         svg.selectAll("path")
40 |                 .data(map.features)
41 |                 .enter()
42 |                 .append("path")
43 |                 .attr("d", geoPath)
44 |                 .attr("transform", transform);
45 | 
46 |     }
47 | </script>
48 | 
49 | </body>
50 | </html>


--------------------------------------------------------------------------------
/tutorial/map-11.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 11: Using a geo projection (Mercator)</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <style>
 8 |         path {
 9 |             stroke: black;
10 |             stroke-width: 1;
11 |             fill: lightgray;
12 |         }
13 |     </style>
14 | </head>
15 | <body>
16 | <svg height="500" width="960"></svg>
17 | 
18 | <script>
19 |     const svg = d3.select("svg");
20 | 
21 |     const shapeFile_geojson = '../data-geojson/world.geojson';
22 | 
23 |     const geoPath = d3.geoPath();
24 |     const projection = d3.geoMercator();
25 |     geoPath.projection(projection);
26 | 
27 |     const map = {};
28 | 
29 |     d3.json(shapeFile_geojson)
30 |             .then(function(data) {
31 |                 map.features   = data.features;
32 |                 draw();
33 |             });
34 | 
35 |     function draw() {
36 | 
37 |         svg.selectAll("path")
38 |            .data(map.features)
39 |               .join("path")
40 |                 .attr("d", geoPath);
41 | 
42 |     }
43 | </script>
44 | 
45 | </body>
46 | </html>


--------------------------------------------------------------------------------
/tutorial/map-12.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 12: using a different projection</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <script src="https://cdn.jsdelivr.net/npm/d3-geo-projection@4"></script>
 8 |     <style>
 9 |         path.earth {
10 |             stroke: black;
11 |             stroke-width: 1;
12 |             fill: lightgray;
13 |         }
14 |     </style>
15 | </head>
16 | <body>
17 | <svg height="500" width="960"></svg>
18 | 
19 | <script>
20 |     const svg = d3.select("svg");
21 | 
22 |     const shapeFile_geojson = '../data-geojson/world.geojson';
23 | 
24 |     const geoPath = d3.geoPath();
25 |     const projection = d3.geoMollweide();
26 |                      //d3.geoOrthographic();
27 |     geoPath.projection(projection);
28 | 
29 |     const map = {};
30 | 
31 |     d3.json(shapeFile_geojson)
32 |             .then(function(data) {
33 |                 map.features   = data.features;
34 |                 draw();
35 |             });
36 | 
37 |     function draw() {
38 |         svg.selectAll("path.earth")
39 |            .data(map.features)
40 |               .join("path").attr("class", "earth")
41 |                 .attr("d", geoPath);
42 |     }
43 | </script>
44 | 
45 | </body>
46 | </html>


--------------------------------------------------------------------------------
/tutorial/map-13.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 13: adding thematic data: population</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <script src="https://cdn.jsdelivr.net/npm/d3-geo-projection@4"></script>
 8 |     <style>
 9 |         path {
10 |             stroke: black;
11 |             stroke-width: 1;
12 |             fill: lightgray;
13 |         }
14 |     </style>
15 | </head>
16 | <body>
17 | <svg height="500" width="960"></svg>
18 | 
19 | <script>
20 |     const svg = d3.select("svg");
21 | 
22 |     const shapeFile_geojson = '../data-geojson/world.geojson';
23 |     const dataFile_csv      = '../data-csv/API_SP.POP.TOTL_DS2_en_csv_v2_63973.csv';
24 | 
25 |     const geoPath = d3.geoPath();
26 |     const projection = d3.geoMollweide();
27 |                      //d3.geoOrthographic();
28 |     geoPath.projection(projection);
29 | 
30 |     const map = {};
31 | 
32 |     const colorScale = d3.scaleSqrt().range(["white", "red"]);
33 | 
34 |     Promise.all([
35 |         d3.json(shapeFile_geojson),
36 |         d3.csv(dataFile_csv)
37 |     ]).then(function([shapes, themes]) {
38 | 
39 |         shapes.features.forEach(function(d) {
40 |             const country = themes.filter(t => t["Country Code"] === d.id)[0];
41 |             d.properties.pop = country ? +country["2018"] : 1;
42 |         });
43 | 
44 |         console.log(shapes.features)
45 | 
46 |         colorScale.domain([1, d3.max(shapes.features, d => d.properties.pop)]);
47 | 
48 |         map.features   = shapes.features;
49 |         draw();
50 |     });
51 | 
52 |     function draw() {
53 |         svg.append("path")
54 |            .datum({type: "Sphere"})
55 |                .attr("d", geoPath)
56 |                .style("fill", "lightblue");
57 | 
58 |         svg.selectAll("path.earth")
59 |            .data(map.features)
60 |               .join("path").attr("class", "earth")
61 |                 .attr("d", geoPath)
62 |                 .style("fill", d => colorScale(d.properties.pop));
63 | 
64 |     }
65 | </script>
66 | 
67 | </body>
68 | </html>


--------------------------------------------------------------------------------
/tutorial/map-14.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 14: adding thematic data: population density</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <script src="https://cdn.jsdelivr.net/npm/d3-geo-projection@4"></script>
 8 |     <style>
 9 |         path {
10 |             stroke: black;
11 |             stroke-width: 1;
12 |             fill: lightgray;
13 |         }
14 |     </style>
15 | </head>
16 | <body>
17 | <svg height="500" width="960"></svg>
18 | 
19 | <script>
20 |     const svg = d3.select("svg");
21 | 
22 |     const shapeFile_geojson = '../data-geojson/world.geojson';
23 |     const dataFile_csv      = '../data-csv/API_SP.POP.TOTL_DS2_en_csv_v2_63973.csv';
24 | 
25 |     const geoPath = d3.geoPath();
26 |     const projection = d3.geoMollweide();
27 |                      //d3.geoOrthographic();
28 |     geoPath.projection(projection);
29 | 
30 |     const map = {};
31 | 
32 |     const colorScale = d3.scaleLinear().range(["white", "red"]);
33 | 
34 |     Promise.all([
35 |         d3.json(shapeFile_geojson),
36 |         d3.csv(dataFile_csv)
37 |     ]).then(function([shapes, themes]) {
38 | 
39 |         shapes.features.forEach(function(d) {
40 |             const country = themes.filter(t => t["Country Code"] === d.id)[0];
41 |             d.properties.dens = country ? +country["2018"] / d3.geoArea(d) : 1;
42 |         });
43 | 
44 |         console.log(shapes.features)
45 | 
46 |         colorScale.domain([1, d3.max(shapes.features, d => d.properties.dens)]);
47 | 
48 |         map.features   = shapes.features;
49 |         draw();
50 |     });
51 | 
52 |     function draw() {
53 |         svg.append("path")
54 |            .datum({type: "Sphere"})
55 |                .attr("d", geoPath)
56 |                .style("fill", "lightblue");
57 | 
58 |         svg.selectAll("path.earth")
59 |            .data(map.features)
60 |               .join("path").attr("class", "earth")
61 |                 .attr("d", geoPath)
62 |                 .style("fill", d => colorScale(d.properties.dens));
63 | 
64 |     }
65 | </script>
66 | 
67 | </body>
68 | </html>


--------------------------------------------------------------------------------
/tutorial/map-15.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 15: adding more coordinate data: cities</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <script src="https://cdn.jsdelivr.net/npm/d3-geo-projection@4"></script>
 8 |     <style>
 9 |         path {
10 |             stroke: black;
11 |             stroke-width: 1;
12 |             fill: lightgray;
13 |         }
14 |         circle {
15 |             stroke: black;
16 |             stroke-width: .1;
17 |         }
18 |     </style>
19 | </head>
20 | <body>
21 | <svg height="500" width="960"></svg>
22 | 
23 | <script>
24 |     const svg = d3.select("svg");
25 | 
26 |     const shapeFile_geojson = '../data-geojson/world.geojson';
27 |     const pointFile_csv     = '../data-csv/cities15000.csv';
28 | 
29 |     const geoPath = d3.geoPath();
30 |     const projection = d3.geoMollweide();
31 |                      //d3.geoOrthographic();
32 |     geoPath.projection(projection);
33 | 
34 |     const map = {};
35 | 
36 |     Promise.all([
37 |         d3.json(shapeFile_geojson),
38 |         d3.dsv(';', pointFile_csv, function(row) {
39 |             return {
40 |                 name: row.asciiname,
41 |                 coords: [+row.longitude, +row.latitude]
42 |             }
43 |         })
44 |     ]).then(function([shapes, points]) {
45 |         map.features   = shapes.features;
46 |         map.points     = points;
47 |         draw();
48 |     });
49 | 
50 |     function draw() {
51 |         svg.append("path")
52 |            .datum({type: "Sphere"})
53 |               .attr("d", geoPath)
54 |               .style("fill", "lightblue");
55 | 
56 |         svg.selectAll("path.earth")
57 |            .data(map.features)
58 |               .join("path").attr("class", "earth")
59 |                 .attr("d", geoPath);
60 | 
61 |         svg.selectAll("circle.city")
62 |            .data(map.points)
63 |               .join("circle").attr("class", "city")
64 |                 .attr("cx", d => projection(d.coords)[0])
65 |                 .attr("cy", d => projection(d.coords)[1])
66 |                 .attr("r", d => 1)
67 |     }
68 | </script>
69 | 
70 | </body>
71 | </html>


--------------------------------------------------------------------------------
/tutorial/map-16.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 16: cities without the country shapes</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <script src="https://cdn.jsdelivr.net/npm/d3-geo-projection@4"></script>
 8 |     <style>
 9 |         circle {
10 |             fill: black;
11 |         }
12 |     </style>
13 | </head>
14 | <body>
15 | <svg height="500" width="960"></svg>
16 | 
17 | <script>
18 |     const svg = d3.select("svg");
19 | 
20 |     const pointFile_csv     = '../data-csv/cities15000.csv';
21 | 
22 |     const projection = d3.geoMollweide();
23 |     const geoPath = d3.geoPath().projection(projection);
24 | 
25 |     const map = {};
26 | 
27 |     d3.dsv(';', pointFile_csv, function(row) {
28 |         return {
29 |             name: row.asciiname,
30 |             coords: [+row.longitude, +row.latitude]
31 |         }
32 |     }).then(function(points) {
33 |         map.points     = points;
34 |         draw();
35 |     });
36 | 
37 |     function draw() {
38 |         svg.append("path")
39 |            .datum({type: "Sphere"})
40 |              .attr("d", geoPath)
41 |              .style("fill", "lightblue");
42 | 
43 |         svg.selectAll("circle.city")
44 |            .data(map.points)
45 |              .join("circle").attr("class", "city")
46 |              .attr("cx", d => projection(d.coords)[0])
47 |              .attr("cy", d => projection(d.coords)[1])
48 |              .attr("r", d => .5)
49 |     }
50 | </script>
51 | 
52 | </body>
53 | </html>


--------------------------------------------------------------------------------
/tutorial/map-17.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 17: using thematic data for city radii</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <script src="https://cdn.jsdelivr.net/npm/d3-geo-projection@4"></script>
 8 |     <style>
 9 |         path {
10 |             stroke: black;
11 |             stroke-width: .5;
12 |             fill: lightgray;
13 |         }
14 |         circle {
15 |             stroke: white;
16 |             stroke-width: .25;
17 |             fill: rgba(255,0,0,.3)
18 |         }
19 |     </style>
20 | </head>
21 | <body>
22 | <svg height="500" width="960"></svg>
23 | 
24 | <script>
25 |     const svg = d3.select("svg");
26 | 
27 |     const shapeFile_geojson = '../data-geojson/world.geojson';
28 |     const pointFile_csv     = '../data-csv/cities15000.csv';
29 | 
30 |     const geoPath = d3.geoPath();
31 |     const projection = d3.geoMollweide();
32 |     geoPath.projection(projection);
33 | 
34 |     const map = {};
35 | 
36 |     const areaScale = d3.scaleSqrt().range([0.5, 15]);
37 | 
38 |     Promise.all([
39 |         d3.json(shapeFile_geojson),
40 |         d3.dsv(';', pointFile_csv, function(row) {
41 |             return {
42 |                 name: row.asciiname,
43 |                 coords: [+row.longitude, +row.latitude],
44 |                 pop: +row.population
45 |             }
46 |         })
47 |     ]).then(function([shapes, points]) {
48 |         areaScale.domain([1, d3.max(points, d => d.pop)]);
49 | 
50 |         map.features   = shapes.features;
51 |         map.points     = points;
52 | 
53 |         draw();
54 |     });
55 | 
56 |     function draw() {
57 |         svg.append("path")
58 |            .datum({type: "Sphere"})
59 |               .attr("d", geoPath)
60 |               .style("fill", "lightblue");
61 | 
62 |         svg.selectAll("path.earth")
63 |            .data(map.features)
64 |               .join("path").attr("class", "earth")
65 |                 .attr("d", geoPath);
66 | 
67 |         svg.selectAll("circle.city")
68 |            .data(map.points)
69 |               .join("circle").attr("class", "city")
70 |                 .attr("cx", d => projection(d.coords)[0])
71 |                 .attr("cy", d => projection(d.coords)[1])
72 |                 .attr("r", d => areaScale(d.pop))
73 |     }
74 | </script>
75 | 
76 | </body>
77 | </html>


--------------------------------------------------------------------------------
/tutorial/map-18.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 18: using more thematic data encoded as colors</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <script src="https://cdn.jsdelivr.net/npm/d3-geo-projection@4"></script>
 8 |     <style>
 9 |         path {
10 |             stroke: black;
11 |             stroke-width: .5;
12 |             fill: lightgray;
13 |         }
14 |         circle {
15 |             stroke: black;
16 |             stroke-width: .01;
17 |             fill: rgba(255,0,0,.3)
18 |         }
19 |     </style>
20 | </head>
21 | <body>
22 | <svg height="500" width="960"></svg>
23 | 
24 | <script>
25 |     const svg = d3.select("svg");
26 | 
27 |     const shapeFile_geojson = '../data-geojson/world.geojson';
28 |     const pointFile_csv     = '../data-csv/cities15000.csv';
29 | 
30 |     const geoPath = d3.geoPath();
31 |     const projection = d3.geoMollweide();
32 |     geoPath.projection(projection);
33 | 
34 |     const map = {};
35 | 
36 |     const areaScale = d3.scaleSqrt().range([0.5, 15]);
37 |     const colorScale = d3.scaleSqrt().range(["rgba(0,0,255,.1)", "rgba(255,0,0,.5)"]);
38 | 
39 |     Promise.all([
40 |         d3.json(shapeFile_geojson),
41 |         d3.dsv(';', pointFile_csv, function(row) {
42 |             return {
43 |                 name: row.asciiname,
44 |                 coords: [+row.longitude, +row.latitude],
45 |                 pop: +row.population
46 |             }
47 |         })
48 |     ]).then(function([shapes, points]) {
49 |         areaScale.domain([1, d3.max(points, d => d.pop)]);
50 |         colorScale.domain(areaScale.domain());
51 | 
52 |         map.features   = shapes.features;
53 |         map.points     = points;
54 | 
55 |         draw();
56 |     });
57 | 
58 |     function draw() {
59 |         svg.append("path")
60 |            .datum({type: "Sphere"})
61 |                .attr("d", geoPath)
62 |                .style("fill", "lightblue");
63 | 
64 |         svg.selectAll("path.earth")
65 |            .data(map.features)
66 |               .join("path").attr("class", "earth")
67 |                 .attr("d", geoPath);
68 | 
69 |         svg.selectAll("circle.city")
70 |            .data(map.points)
71 |               .join("circle").attr("class", "city")
72 |                 .attr("cx", d => projection(d.coords)[0])
73 |                 .attr("cy", d => projection(d.coords)[1])
74 |                 .attr("r", d => areaScale(d.pop))
75 |                 .style("fill", d => colorScale(d.pop))
76 |     }
77 | </script>
78 | 
79 | </body>
80 | </html>


--------------------------------------------------------------------------------
/tutorial/map-19.html:
--------------------------------------------------------------------------------
  1 | <!DOCTYPE html>
  2 | <html lang="en">
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <title>Step 19: using interactivity (tooltips)</title>
  6 |     <style>
  7 |         path {
  8 |             stroke: black;
  9 |             stroke-width: .5;
 10 |             fill: lightgray;
 11 |         }
 12 |         circle {
 13 |             stroke: black;
 14 |             stroke-width: .01;
 15 |             fill: rgba(255,0,0,.3)
 16 |         }
 17 |         text {
 18 |             font-family: "Yanone Kaffeesatz";
 19 |             font-size: 12pt;
 20 |             fill: darkgreen;
 21 |         }
 22 |     </style>
 23 | </head>
 24 | <body>
 25 | <svg height="500" width="960"></svg>
 26 | 
 27 | <script type="module">
 28 |     const d3 = await Promise.all([
 29 |         import("https://cdn.skypack.dev/d3@7"),
 30 |         import("https://cdn.skypack.dev/d3-geo-projection@4")
 31 |     ]).then(d3 => Object.assign({}, ...d3));
 32 | 
 33 |     const svg = d3.select("svg");
 34 | 
 35 |     const shapeFile_geojson = '../data-geojson/world.geojson';
 36 |     const pointFile_csv     = '../data-csv/cities15000.csv';
 37 | 
 38 |     const geoPath = d3.geoPath();
 39 |     const projection = d3.geoMollweide();
 40 |     geoPath.projection(projection);
 41 | 
 42 |     const map = {};
 43 | 
 44 |     const areaScale = d3.scaleSqrt().range([0.5, 15]);
 45 |     const colorScale = d3.scaleSqrt().range(["rgba(0,0,255,.1)", "rgba(255,0,0,.5)"]);
 46 | 
 47 |     Promise.all([
 48 |         d3.json(shapeFile_geojson),
 49 |         d3.dsv(';', pointFile_csv, function(row) {
 50 |             return {
 51 |                 name: row.asciiname,
 52 |                 coords: [+row.longitude, +row.latitude],
 53 |                 pop: +row.population
 54 |             }
 55 |         })
 56 |     ]).then(function([shapes, points]) {
 57 |         areaScale.domain([1, d3.max(points, d => d.pop)]);
 58 |         colorScale.domain(areaScale.domain());
 59 | 
 60 |         map.features   = shapes.features;
 61 |         map.points     = points;
 62 | 
 63 |         draw();
 64 |     });
 65 | 
 66 |     function draw() {
 67 |         // Paints the sea blue (applying the projection to a sphere)
 68 |         svg.append("path")
 69 |            .datum({type: "Sphere"})
 70 |               .attr("d", geoPath)
 71 |                 .style("fill", "lightblue");
 72 | 
 73 |         // Binds all GEOJSON country features to path elements
 74 |         svg.selectAll("path.earth")
 75 |            .data(map.features)
 76 |               .join("path").attr("class", "earth")
 77 |                 .attr("d", geoPath);
 78 | 
 79 |         // Binds all city coordinates to circle elements in the current projection
 80 |         svg.selectAll("circle.city")
 81 |            .data(map.points)
 82 |               .join("circle").attr("class", "city")
 83 |                 .attr("cx", d => projection(d.coords)[0])
 84 |                 .attr("cy", d => projection(d.coords)[1])
 85 |                 .attr("r", d => areaScale(d.pop))
 86 |                 .style("fill", d => colorScale(d.pop))
 87 |                 .on("mouseenter", showName)
 88 |                 .on("mouseleave", hideName);
 89 |     }
 90 | 
 91 |     function showName(evt, d) {
 92 |         svg.append("text")
 93 |            .text(d.name)
 94 |                .attr("x", projection(d.coords)[0])
 95 |                .attr("y", projection(d.coords)[1])
 96 |                .attr("class", "visible")
 97 |     }
 98 | 
 99 |     function hideName(evt, d) {
100 |         svg.selectAll(".visible").remove();
101 |     }
102 | </script>
103 | 
104 | </body>
105 | </html>


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/tutorial/map-2.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 2: selecting data from loaded dataset</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 | </head>
 8 | <body>
 9 | 
10 | <script>
11 |     const map = {};
12 | 
13 |     const shapeFile_geojson = '../data-geojson/world.geojson';
14 | 
15 |     d3.json(shapeFile_geojson)
16 |       .then(function(data) {
17 |         map.features   = data.features;
18 |         draw();
19 |     });
20 | 
21 |     function draw() {
22 |         const ol = d3.select("body").append("ol");
23 |         ol.selectAll("li.country")
24 |           .data(map.features)
25 |             .join("li").attr("class", "country")
26 |               .text(d => d.properties.name + " ("+ d.id + ")");
27 |     }
28 | </script>
29 | 
30 | </body>
31 | </html>


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/tutorial/map-3.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 3: selecting coordinates from loaded dataset</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 | </head>
 8 | <body>
 9 | 
10 | <script>
11 |     const map = {};
12 | 
13 |     const shapeFile_geojson = '../data-geojson/world.geojson';
14 | 
15 |     d3.json(shapeFile_geojson)
16 |       .then(function(data) {
17 |           map.features   = data.features;
18 |           draw();
19 |     });
20 | 
21 |     function draw() {
22 |         const country = map.features.filter(k => k.id === "BRA")[0];
23 | 
24 |         const body = d3.select("body");
25 |         body.append("h1").text(country.properties.name);
26 | 
27 |         body.append("ul").selectAll("li.coord")
28 |             .data(country.geometry.coordinates[0])
29 |               .join("li").attr("class", "coord")
30 |               .text(d => "Lon: " + d[0] + ", Lat: " + d[1]);
31 |     }
32 | </script>
33 | 
34 | </body>
35 | </html>


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/tutorial/map-4.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 4: plotting the coordinates with characters</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <style>
 8 |         .point {
 9 |             position: absolute;
10 |         }
11 |     </style>
12 | </head>
13 | <body>
14 | 
15 | <script>
16 |     const map = {};
17 | 
18 |     const shapeFile_geojson = '../data-geojson/world.geojson';
19 | 
20 |     d3.json(shapeFile_geojson)
21 |       .then(function(data) {
22 |          map.features   = data.features;
23 |          draw();
24 |     });
25 | 
26 |     function draw() {
27 |         const country = map.features.filter(k => k.id === "BRA")[0];
28 | 
29 |         const body = d3.select("body");
30 |         body.append("h1").text(country.properties.name + " (" + country.id + ")");
31 | 
32 |         body.append("div").selectAll("div.point")
33 |             .data(country.geometry.coordinates[0])
34 |             .join("div").attr("class", "point")
35 |                 .text("+")
36 |                 .style("top",  d => 10*(10-d[1])  + "px")
37 |                 .style("left", d => 10*(100+d[0]) + "px");
38 |     }
39 | </script>
40 | 
41 | </body>
42 | </html>


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/tutorial/map-5.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 5: using a small array of points to plot as characters</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <style>
 8 |         .point {
 9 |             position: absolute;
10 |         }
11 |     </style>
12 | </head>
13 | <body>
14 | 
15 | <script>
16 |     const points = [
17 |             [-10,0], [-3,10], [10,7], [10,-7], [-3,-10], [-10,0]
18 |     ];
19 |     draw();
20 | 
21 |     function draw() {
22 |         const body = d3.select("body");
23 |         body.append("div").selectAll("div.point")
24 |           .data(points)
25 |              .join("div").attr("class", "point")
26 |                 .text("+")
27 |                 .style("top",  d => 10*(10+d[0]) + "px")
28 |                 .style("left", d => 10*(10+d[1]) + "px");
29 |     }
30 | </script>
31 | 
32 | </body>
33 | </html>


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/tutorial/map-6.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 6: drawing a simple shape using SVG (a) polygon</title>
 6 |     <style>
 7 |         .poly {
 8 |             stroke: black;
 9 |             stroke-width: .05;
10 |             fill: yellow;
11 |         }
12 |     </style>
13 | </head>
14 | <body>
15 | <svg height="500" width="960" viewBox="7 -13 14 28">
16 |     <polygon points="-10,0,-3,10,10,7,10,-7,-3,-10,-10,0" class="poly"></polygon>
17 | </svg>
18 | 
19 | </body>
20 | </html>


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/tutorial/map-6a.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <style>
 5 |         .poly {
 6 |             stroke: black;
 7 |             stroke-width: .05;
 8 |             fill: yellow;
 9 |         }
10 |     </style>
11 |     <title>Step 6: drawing a simple shape using SVG (b) path</title>
12 | </head>
13 | <body>
14 | <svg height="500" width="960" viewBox="7 -13 14 28">
15 |     <path d="M-10,0 L-3,10 L10,7 L10,-7 L-3,-10 L-10,0" class="poly"></path>
16 | </svg>
17 | </body>
18 | </html>


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/tutorial/map-7.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 7: Using D3 to generate an SVG polygon</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <style>
 8 |         .poly {
 9 |             stroke: black;
10 |             stroke-width: 1;
11 |             fill: yellow;
12 |         }
13 |     </style>
14 | </head>
15 | <body>
16 | <svg height="500" width="960"></svg>
17 | 
18 | <script>
19 |     const points = [
20 |             [-10,0], [-3,10], [10,7], [10,-7], [-3,-10], [-10,0]
21 |     ];
22 |     const flatPoints = d3.merge(points); // [-10,0,-3,10,10,7,10,-7,-3,-10,-10,0]
23 | 
24 |     const pointScale = d3.scaleLinear()
25 |                          .range([50,400])
26 |                          .domain([d3.min(flatPoints), d3.max(flatPoints)]);
27 | 
28 |     const data = flatPoints.map(p => pointScale(p));
29 | 
30 |     draw();
31 | 
32 |     function draw() {
33 |         const svg = d3.select("svg");
34 |         svg.append("polygon")
35 |            .attr("class", "poly")
36 |            .attr("points", data);
37 |     }
38 | </script>
39 | 
40 | </body>
41 | </html>


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/tutorial/map-8.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 8: Using D3 to generate an SVG path</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <style>
 8 |         .poly {
 9 |             stroke: black;
10 |             stroke-width: .05;
11 |             fill: yellow;
12 |         }
13 |     </style>
14 | </head>
15 | <body>
16 | <svg height="500" width="960"></svg>
17 | 
18 | <script>
19 |     const svg = d3.select("svg");
20 |     const pathData = "M-10,0 L-3,10 L10,7 L10,-7 L-3,-10 Z";
21 | 
22 |     const transform = d3.zoomTransform(svg.node)
23 |                         .scale(18).translate(13,13);
24 | 
25 |     draw();
26 | 
27 |     function draw() {
28 |         svg.append("path").attr("class", "poly")
29 |            .attr("d", pathData)
30 |            .attr("transform", transform);
31 |     }
32 | </script>
33 | 
34 | </body>
35 | </html>


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/tutorial/map-9.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>Step 9: Using D3 geo tools to generate an SVG path string from geo coordinates: single country</title>
 6 |     <script src="https://d3js.org/d3.v7.min.js"></script>
 7 |     <style>
 8 |         path {
 9 |             stroke: black;
10 |             stroke-width: .05;
11 |             fill: gray;
12 |         }
13 |     </style>
14 | </head>
15 | <body>
16 | <svg height="500" width="960"></svg>
17 | 
18 | <script>
19 |     const svg = d3.select("svg");
20 | 
21 |     const shapeFile_geojson = '../data-geojson/world.geojson';
22 | 
23 |     const transform = d3.zoomTransform(svg.node)
24 |                         .scale(2)
25 |                         .translate(180,90);
26 | 
27 |     const geoPath = d3.geoPath();
28 | 
29 |     const map = {};
30 | 
31 |     d3.json(shapeFile_geojson)
32 |       .then(function(data) {
33 |           map.features   = data.features;
34 |           draw();
35 |       });
36 | 
37 |     function draw() {
38 |         const country = map.features.filter(k => k.id === "BRA")[0];
39 |         const pathData = geoPath(country);
40 |         console.log(pathData)
41 | 
42 |         svg.append("path")
43 |            .attr("d", pathData)
44 |            .attr("transform", transform);
45 | 
46 |     }
47 | </script>
48 | 
49 | </body>
50 | </html>


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