2a:null 2b:["$","title",null,{"children":"Boilerplate imports for Graphics and Data | Christopher L. Keller | Observable"}] 30:Tee1,cityList = [ // { // name: 'Malibu', // type: 'city', // coordinates: [-118.7798, 34.05], // x: '-9', // anchor: 'end' // }, { name: "Alamogordo", type: "city", coordinates: [-105.96, 32.88] }, { name: "Albuquerque", type: "city", coordinates: [-106.65, 35.11] }, { name: "Carlsbad", type: "city", coordinates: [-104.24, 32.41] }, { name: "Clayton", type: "city", coordinates: [-103.17611232394871, 36.44142358531125], x: "0", anchor: "end" }, { name: "Clovis", type: "city", coordinates: [-103.19, 34.44], x: "-25", y: "0", anchor: "end" }, { name: "Deming", type: "city", coordinates: [-107.79631392598128, 32.27227363364452] }, { name: "Española", type: "city", coordinates: [-106.08, 35.99] }, { name: "Estancia", type: "city", coordinates: [-106.07302259063664, 34.760283199853994] }, { name: "Farmington", type: "city", coordinates: [-108.18, 36.76] }, { name: "Fort Sumner", type: "city", coordinates: [-104.26573788540554, 34.47906681853683], x: "0", y: "15", anchor: "end" }, { name: "Gallup", type: "city", coordinates: [-108.75, 35.52] }, { name: "Grants", type: "city", coordinates: [-107.83, 35.15] }, { name: "Hobbs", type: "city", coordinates: [-103.16, 32.73], x: "-10", y: "-25", anchor: "end" }, { name: "Las Cruces", type: "city", coordinates: [-106.79, 32.33] }, { name: "Las Vegas", type: "city", coordinates: [-105.22, 35.6] }, { name: "Lordsburg", type: "city", coordinates: [-108.68697854123627, 32.34429414091481] }, { name: "Los Alamos", type: "city", coordinates: [-106.29, 35.89] }, { name: "Los Lunas", type: "city", coordinates: [-106.7378279288361, 34.80327242285865], x: "0", anchor: "end" }, { name: "Madrid", type: "city", coordinates: [-106.15201684631181, 35.40683726800341] }, { name: "Portales", type: "city", coordinates: [-103.3812646664294, 34.19086796779287], x: "0", y: "15", anchor: "end" }, { name: "Raton", type: "city", coordinates: [-104.44, 36.88] }, { name: "Reserve", type: "city", coordinates: [-108.76176562329654, 33.709909932131836] }, { name: "Rio Rancho", type: "city", coordinates: [-106.7, 35.29] }, { name: "Roswell", type: "city", coordinates: [-104.53, 33.37] }, { name: "San Ysidro", type: "city", coordinates: [-106.76178268091891, 35.55970726228018], x: "0", anchor: "end" }, { name: "Santa Fe", type: "city", coordinates: [-105.97, 35.67] }, { name: "Santa Rosa", type: "city", coordinates: [-104.68, 34.94] }, { name: "Santa Teresa", type: "city", coordinates: [-106.67, 31.87], x: "0", anchor: "end" }, { name: "Silver City", type: "city", coordinates: [-108.27, 32.78] }, { name: "Socorro", type: "city", coordinates: [-106.91, 34.05] }, { name: "Sunland Park", type: "city", coordinates: [-106.57959640072761, 31.796387474091443] }, { name: "Taos", type: "city", coordinates: [-105.58, 36.39] }, { name: "Tierra Amarilla", type: "city", coordinates: [-106.55186729635335, 36.699123827038946] }, { name: "Truth or Consequences", type: "city", coordinates: [-107.26, 33.18] }, { name: "Tucumcari", type: "city", coordinates: [-103.72372756047794, 35.171829937177414] }, { name: "Tularosa", type: "city", coordinates: [-106.01642298943264, 33.074276121046] } ]31:Tcbe,jenksMatrices = function(data, n_classes) { // in the original implementation, these matrices are referred to // as `LC` and `OP` // // * lower_class_limits (LC): optimal lower class limits // * variance_combinations (OP): optimal variance combinations for all classes var lower_class_limits = [], variance_combinations = [], // loop counters i, j, // the variance, as computed at each step in the calculation variance = 0; // Initialize and fill each matrix with zeroes for (i = 0; i < data.length + 1; i++) { var tmp1 = [], tmp2 = []; for (j = 0; j < n_classes + 1; j++) { tmp1.push(0); tmp2.push(0); } lower_class_limits.push(tmp1); variance_combinations.push(tmp2); } for (i = 1; i < n_classes + 1; i++) { lower_class_limits[1][i] = 1; variance_combinations[1][i] = 0; // in the original implementation, 9999999 is used but // since Javascript has `Infinity`, we use that. for (j = 2; j < data.length + 1; j++) { variance_combinations[j][i] = Infinity; } } for (var l = 2; l < data.length + 1; l++) { // `SZ` originally. this is the sum of the values seen thus // far when calculating variance. var sum = 0, // `ZSQ` originally. the sum of squares of values seen // thus far sum_squares = 0, // `WT` originally. This is the number of w = 0, // `IV` originally i4 = 0; // in several instances, you could say `Math.pow(x, 2)` // instead of `x * x`, but this is slower in some browsers // introduces an unnecessary concept. for (var m = 1; m < l + 1; m++) { // `III` originally var lower_class_limit = l - m + 1, val = data[lower_class_limit - 1]; // here we're estimating variance for each potential classing // of the data, for each potential number of classes. `w` // is the number of data points considered so far. w++; // increase the current sum and sum-of-squares sum += val; sum_squares += val * val; // the variance at this point in the sequence is the difference // between the sum of squares and the total x 2, over the number // of samples. variance = sum_squares - (sum * sum) / w; i4 = lower_class_limit - 1; if (i4 !== 0) { for (j = 2; j < n_classes + 1; j++) { if (variance_combinations[l][j] >= (variance + variance_combinations[i4][j - 1])) { lower_class_limits[l][j] = lower_class_limit; variance_combinations[l][j] = variance + variance_combinations[i4][j - 1]; } } } } lower_class_limits[l][1] = 1; variance_combinations[l][1] = variance; } return { lower_class_limits: lower_class_limits, variance_combinations: variance_combinations }; };32:Ta06,// https://observablehq.com/@nebrius/indented-toc function toc(options = {}) { if (typeof options === "string") { options = { headers: options }; } const { headers = "h1,h2,h3", hideStartingFrom = null, title = "Table of Contents" } = options; return Generators.observe(notify => { let previousHeadings = []; let renderedEmptyToC = false; function observed() { const currentHeadings = Array.from(document.querySelectorAll(headers)); if (!currentHeadings.length) { if (!renderedEmptyToC) { notify(html`Unable to generate ToC: no headings found`); renderedEmptyToC = true; } return; } if ( currentHeadings.length !== previousHeadings.length || currentHeadings.some((h, i) => previousHeadings[i] !== h) ) { renderedEmptyToC = false; let currentIndentation; let startIndentation = headers .split(',') .map(h => parseInt(h.replace(/h/g, ''))) .sort()[0]; previousHeadings = currentHeadings; const entries = []; for (const h of Array.from(previousHeadings)) { if (hideStartingFrom && h.textContent === hideStartingFrom) { break; } let nodeIndentiation = parseInt(h.tagName[1], 10); if (typeof currentIndentation === 'undefined') { currentIndentation = startIndentation = nodeIndentiation; } else { while (currentIndentation < nodeIndentiation) { entries.push('

'); currentIndentation++; } while (currentIndentation > nodeIndentiation) { entries.push(''); currentIndentation--; } } entries.push( Object.assign( html`

${DOM.text(h.textContent)}`, { onclick: e => (e.preventDefault(), h.scrollIntoView()) } ) ); } while (currentIndentation > startIndentation) { entries.push(''); currentIndentation--; } let content; if (typeof title === "string") { content = html`${title}