PoPo數據可視化週刊第3期-颱風可視化

時間 2019-12-07

標籤 popo 數據可視化週刊颱風简体版

原文原文鏈接

颱風可視化剪輯
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9月臺風席捲全球，本刊特別選取颱風最佳可視化案例，數據可視化應用功力最深厚者,當屬紐約時報，而傳播效果最佳的是The Weather Channel關於Florence的視頻預報，運用了數據可視化、可視化特效以及虛擬特效製做等技術，簡直是災難大片電影預告（在本文末尾查看視頻）。
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See Flood Waters Rise Across the Carolinas After Hurricane Florence
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Hurricane Florence brought a lot of rain, which in turn made river levels rise. The New York Times animated the rise over a five-day period. The height of the bars represents the rise of the river level, as compared to levels on Thursday.github

www.nytimes.com/interactive…axios

Mapping Florence’s Impact:Rainfall, Power Outages, and Wind瀏覽器

www.nytimes.com/interactive…app

Hurricane Florence Water Footprint Data Visualization
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Watch Florence move through the Carolinas in this data visualization and see USGS streamgage measurements spike as the storm’s extreme rainfall leads to intense flooding. USGS streamgages provide critical information during storms to flood forecasters and emergency managers as they make decisions that contributes to protecting lives and property. Understanding river levels and locations of flooding can make a huge difference in these dangerous storms. The water footprint visualization shows patterns of precipitation and river discharge of 18 USGS streamgages greatly impacted by Florence. USGS photo. ide

www.usgs.gov/media/image…工具

Steering Ships Around Hurricane Florence

The image below loops an animation of Optix.Earth’s rendition of ship traffic around the southeastern United States from Tuesday to Thursday of last week. It shows that all the ships are avoiding an area about 800 miles wide that was moving towards the North and South Carolina coast: Hurricane Florence.

www.ccri.com/2018/09/18/…

Why Florence is so unusual — and so dangerous

Hurricane Florence is a highly unusual storm, not just because of its intensity and size, but also the journey it's taking toward the Carolina coastline.

www.axios.com/florence-ma…

Flights Rome 條條道路通羅馬，航線可視化

After confirming that all roads lead to Rome, we set out onto a new adventure.

flightstorome.moovellab.com/

What is the heartbeat of a city in motion?

What does it look and feel like? How can we strengthen it? At Lime, these questions have inspired us to create a system of shared scooters and bikes designed to move riders seamlessly across cities and communities around the world.

www.li.me/10-million-…

谷歌帶來GAN入門神器：瀏覽器上運行的可視化工具GAN Lab

www.sohu.com/a/253018841…

poloclub.github.io/ganlab/

佐治亞理工學院和谷歌大腦的研究者開發了 GAN 的可視化工具 GAN Lab，無需安裝也無需專門硬件，經過網頁瀏覽器（推薦 Chrome）就能夠打開。用戶能夠利用 GAN Lab 交互地訓練生成模型並可視化動態訓練過程的中間結果，用動畫來理解 GAN 訓練過程當中的每個細節。

燈光可視化

jwasilgeo.github.io/esri-experi…

Jacob Wasilkowski使用ArcGIS Javascript API 和 chroma.js 顏色庫製做的相似於地形可視化的燈光可視化效果

97種投影系的動態對比

Jacob Wasilkowski 使用D3製做的97種不一樣投影系的動態對比效果

popodv.com/dv/ef8c4115…

Just Another Day on Aerosol Earth

earthobservatory.nasa.gov/images/9265…

Take a deep breath. Even if the air looks clear, it is nearly certain that you will inhale millions of solid particles and liquid droplets. These ubiquitous specks of matter are known as aerosols, and they can be found in the air over oceans, deserts, mountains, forests, ice, and every ecosystem in between.

World map shows aerosol billowing in the wind

flowingdata.com/2018/08/24/…

Using a mathematical model based on satellite data, NASA shows an estimate of aerosol in the atmosphere on August 23, 2018:

Bus Speed Visualization

ky-kimeng.netlify.com/posts/bus-s…

Within the past couple decades, many transit agencies across North America and all over the world have started to collect location records of every bus using the Automatic Vehicle Location (AVL) technology. This technology allows buses to generate their locations for as frequent as every few seconds. With this new source of data, new ways of visualizing and understanding bus speed need to be adopted.

Interactive Spatial Analysis and Visualization in the Browser

Client-side mapping and rendering of data in the browser has improved substantially over the last few years. A variety of new methods are available for geospatial analysis, geometry manipulation, and rendering large spatial datasets in the browser. In fact, using modern JavaScript packages, we rarely make any round trips to the server to perform analysis or dynamic rendering. This trend will continue as devices and browsers that leverage GPU become increasingly capable of performing advanced graphics processing. Here’s a short synopsis of some of the major browser-based tools we’ve leveraged in our projects at DVG. Best of all, they are all free.

www.dvginteractive.com/interactive…