Skip to main content

Global Fishing Watch

Hundreds of millions of people depend on the ocean for their livelihoods and many more rely on the ocean for food. However, the world’s oceans are threatened by global overfishing, illegal fishing and habitat destruction. Their sustainability depends on action by governments, fishery management organizations, citizens and the fishing industry itself.
This public beta version of Global Fishing Watch is available to anyone with an Internet connection and allows users to monitor when and where commercial fishingicon info is occurring around the world.


Global Fishing Watch uses data about a vessel’s identity, type, location, speed, direction and more that is broadcast using the Automatic Identification System (AIS) and collected via satellites and terrestrial receivers. AIS was developed for safety/collision-avoidance. Global Fishing Watch analyzes AIS data collected from vessels that our research has identified as known or possible commercial fishingicon info vessels, and applies a fishing detection algorithm to determine “apparent fishing activity” based on changes in vessel speed and direction. The algorithm classifies each AIS broadcast data point for these vessels as either apparently fishing or not fishing and shows the former on the Global Fishing Watch fishing activity heat map. AIS data as broadcast may vary in completeness, accuracy and quality. Also, data collection by satellite or terrestrial receivers may introduce errors through missing or inaccurate data. Global Fishing Watch’s fishing detection algorithm is a best effort mathematically to identify “apparent fishing activity.” As a result, it is possible that some fishing activity is not identified as such by Global Fishing Watch; conversely, Global Fishing Watch may show apparent fishing activity where fishing is not actually taking place. For these reasons, Global Fishing Watch qualifies designations of vessel fishing activity, including synonyms of the term “fishing activity,” such as “fishing” or “fishing effort,” as “apparent,” rather than certain. Any/all Global Fishing Watch information about “apparent fishing activity” should be considered an estimate and must be relied upon solely at your own risk. Global Fishing Watch is taking steps to make sure fishing activity designations are as accurate as possible. Global Fishing Watch fishing detection algorithms are developed and tested using actual fishing event data collected by observers, combined with expert analysis of vessel movement data resulting in the manual classification of thousands of known fishing events. Global Fishing Watch also collaborates extensively with academic researchers through our research program to share fishing activity classification data and automated classification techniques.

Global Fishing Watch


Related posts:
Illegal Fishing Mapped

This post may contain affiliate links. As an Amazon Associate, I earn from qualifying purchases.


Popular posts from this blog

Find cities with similar climate

This map has been created using The Global environmental stratification. The Global environmental stratification (GEnS), based on statistical clustering of bioclimate data (WorldClim). GEnS, consists of 125 strata, which have been aggregated into 18 global environmental zones (labeled A to R) based on the dendrogram. Interactive map >> Via www.vividmaps.com Related posts: -  Find cities with similar climate 2050 -  How global warming will impact 6000+ cities around the world?

The Appalachian Mountains, the Scottish Highlands, and the Atlas Mounts in Africa were the same mountain range

The Central Pangean Mountains was a prominent mountain ridge in the central part of the supercontinent Pangaea that extends across the continent from northeast to southwest through the Carboniferous , Permian Triassic periods. The mountains were formed due to a collision within the supercontinents Gondwana and Laurussia during the creation of Pangaea. It was comparable to the present Himalayas at its highest peak during the start of the Permian period. It isn’t easy to assume now that once upon a time that the Scottish Highlands, The Appalachian Mountains, the Ouachita Mountain Range, and the Atlas Mountains in northwestern Africa are the same mountains , once connected as the Central Pangean Mountains.

Human Emotions Visualized

Despite significant diversity in the culture around the globe, humanity's DNA is 99.9 percent alike. There are some characteristics more primary and typical to the human experience than our emotions. Of course, the large spectrum of emotions we can feel can be challenging to verbalize. That's where this splendid visualization by the Junto Institute comes in. This visualization is the newest in an ongoing attempt to categorize the full range of emotions logically. Our knowledge has come a long route since William James suggested 4 primary emotions: fear, grief, love, and rage. These kernel emotions yet form much of the basis for current frameworks. The Junto Institute's visualization above classifies 6 basic emotions: fear, anger, sadness, surprise, joy, love More nuanced descriptions begin from these 6 primary emotions, such as jealousy as a subset of anger and awe-struck as a subset of surprise. As a result, there are 102 second-and third-order emotions placed on this emo