https://blog.znote.io/2022/znote-climate-post/ Znote blog [ ] Visualize active fires around the world with Javascript js use-case climate learn 08/31/2022 --------------------------------------------------------------------- What we will learn? In this article, we will see how to use open data with Plotlyjs and Streams through Znote in Javascript to explore active fire data around the world. Active fire data Thanks to the NASA which make available fires locations and Thermal anomalies with the MODIS system (Moderate-Resolution Imaging Spectroradiometer) onboarded in their two satellites (Aqua and Terra) it is possible to visualize how fires are distributed across the planet. Where get data? Last active fire data is available here. If you want explore the history, it is also possible to ask archive here. Dataset description We start previewing the dataset to discover the available columns via a simple print with Danfojs JS Copy const df = await dfd.readCSV("https://firms.modaps.eosdis.nasa.gov/data/active_fire/modis-c6.1/csv/MODIS_C6_1_Global_7d.csv"); print(df); // or df.ctypes to list all columns Table active fires Full dataset description is here World map of active fires Each point is a new fire declared per day. It is shocking to see the number of new fires starting every day The map below scrolls through the months of July and August 2022 Summer 2022 world How build this map? JS Copy const summer2022 = "/Users/alagrede/Desktop/modis-active-fires-7d.csv"; const content = _fs.readFileSync(summer2022, 'utf8'); // read data file function show(date) { // get lat/long fields for date given const latLong = content.split('\n') .filter(r=>String(r.split(",")[5]).startsWith(date)) .map(r => [r.split(",")[0], r.split(",")[1]]) // lat/long latLong.shift(); // remove header var data = [{ type: 'scattergeo', lon: latLong.map(r=>r[1]), lat: latLong.map(r=>r[0]), marker: {size: 2, color:'red'}, // draw fires }]; var layout = { geo: { scope: 'world', resolution: 50, showland: true, showocean: true, }, title: date, }; Plotly.newPlot(el, data, layout); } // list days between 2 dates (functions used are described at the end of the article) var daylist = await getDaysArray(new Date("2022-08-18"), new Date("2022-08-24")); // loop over days for(const day of daylist) { show(day); await sleep(500); } Refresh data (last 7d) [?] We can now create a function to refresh the data and store it in a file. The last 7d file is directly available online. JS Copy const r = await fetch('https://firms.modaps.eosdis.nasa.gov/data/active_fire/modis-c6.1/csv/MODIS_C6_1_Global_7d.csv') const content = await r.text(); _fs.writeFileSync('/Users/alagrede/Desktop/modis-active-fires-7d.csv', content); Focus on a country You can now focus on a specific country of your choice by selecting a center point and changing the map scope. To find a specific geographical position, open Google map, select a point then copy/paste the latitude/longitude. You could find the Plotlyjs API description here JS Copy var layout = { geo: { center: {lat: -46.449031, lon: 2.521705}, // France projection: {scale: 1.5}, // zoom scope: 'europe', // "africa" | "asia" | "europe" | "north america" | "south america" | "usa" | "world" resolution: 50, showland: true, showocean: true, }, title: date, }; Plotly.newPlot(el, data, layout); France Summer 2022 France As suggested above, you can add a slider to navigate manually in time JS Copy Plotly.newPlot(el+"-myGraph", data, layout); // add a slider control (min - max - onChange callback) const slider = await createSlider(0, daylist.length - 1, async function() { show(daylist[slider.value]); await sleep(200); }); htmlEl.innerHTML=""; // reset result div htmlEl.appendChild(slider); // add html slider var graph = createElement("div"); // add the map into a div graph.id = el+"-myGraph"; // plotly html id htmlEl.appendChild(graph); // append map show(daylist[0]); Evolution of fires in France since 2000 Now that we know where the fires are, it might be interesting to see how the number of fires has changed since 2000. This table reveals exceptional fire activity in 2003 reported in the media due to a massive heat wave in Europe. 2019 a new record Forest fires: in France, in the middle of summer, the area burned is greater than in all of 2019 2022 also a new record... France's unprecedented summer of wildfires, in maps and graphs Summer 2022 fires count JS Copy // All France fires count (make a ticket to ask history of fires) const allfires = "/Users/alagrede/Desktop/fire_archive_M-C61_290304.csv"; const content = _fs.readFileSync(allfires, 'utf8'); const activeFires = content.split('\n'); activeFires.shift(); const count = activeFires // map to month .map(r=>String(r.split(",")[5]).slice(0,7)) // date field like 2008-08 // map to year //.map(r=>String(r.split(",")[5]).slice(0,4)) // date field like 2008 // group by .reduce((total, value) => { total[value] = (total[value] || 0) + 1; return total; }, {}); const data = [{ y: Object.values(count), x: Object.keys(count), type: 'scatter' }]; const layout = { title: "Evolution of active fires", height: 400, width: 500 } Plotly.newPlot(el, data, layout); Temperature anomalies On the temperature side, there is a clear upward trend in temperatures since the 2000s. This partly explains the increase in fires and why records are frequently broken. EU Temp ano JS Copy const r = await fetch('https://www.ncei.noaa.gov/access/monitoring/climate-at-a-glance/global/time-series/globe/land_ocean/ytd/12/1880-2016.json') const json = await r.json(); //printJSON(json); const result = Object.entries(json.data).map(year => [year[0], year[1]]); const data = [{ y: result.map(r=>r[1]), x: result.map(r=>r[0]), type: 'scatter' }]; const layout = { title: "World temperature anomalies", height: 400, width: 500 } Plotly.newPlot(el, data, layout); World Unsurprisingly, the world is following the same upward trend. World Temp ano Others continents Compared to Europe, the number of new fires declared on the African and South American continents is literally frightening... South america august 2022 map Africa august 2022 map functions used in scripts JS Copy async function getDaysArray(start, end) { for(var arr=[],dt=new Date(start); dt<=new Date(end); dt.setDate(dt.getDate()+1)){ arr.push(new Date(dt).toISOString().slice(0,10)); } return arr; } async function sleep(time) { await new Promise(r => setTimeout(r, time)); } async function createSlider(min, max, callback) { var slider = createElement('input'); slider.type = 'range'; slider.min = min; slider.max = max; slider.value = 0; slider.step = 1; slider.style.marginLeft = "0px" slider.style.width = "100%" slider.addEventListener('input', callback, false); return slider; } Go further For those who want to take this example further, the entire Javascript notebook is available in my Github repo. To facilitate the use of this data, this example was made with the interactive Znote app. znote screenshot * New delicious versions to wish you a Happy new year * ------------------------------------------------------------------ [oNwwoufgP8][znote-icon] WRITTEN BY @alagrede The note-taking app for JS Developers GitHub ------------------------------------------------------------------ (c) 2022 - Znote. Created by Anthony Lagrede Consulting